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Abstract

=https%3A%2F%2Fwww.udacity.com%2Fcourse%2Fdeep-learning-nanodegree--nd101&intsrc=PUI2_5678"><b>Complete Deep Learning</b></a></p></blockquote><blockquote id="ac28"><p><a href="https://imp.i115008.net/c/2345654/788805/11298?prodsku=nd892&amp;u=https%3A%2F%2Fwww.udacity.com%2Fcourse%2Fnatural-language-processing-nanodegree--nd892&amp;intsrc=PUI2_5678"><b>Complete Natural Language Processing</b></a></p></blockquote><blockquote id="e2b2"><p><a href="https://imp.i115008.net/c/2345654/788805/11298?prodsku=nd0013&amp;u=https%3A%2F%2Fwww.udacity.com%2Fcourse%2Fself-driving-car-engineer-nanodegree--nd0013&amp;intsrc=PUI2_5678"><b>Complete Self Driving Car Engineer</b></a></p></blockquote><p id="d533"><b><i>Part 5:Here we go —</i></b></p><h1 id="9339">Day 63 : Bidirectional Encoder Representations from Transformers ( BERT) with a project</h1><p id="ae4c">In this post we learned how to fine tune BERT for text classification.</p><p id="a7c5"><b><i>Where to find Day 54 post :</i></b></p><div id="15d0" class="link-block"> <a href="https://readmedium.com/day-50-60-days-of-data-science-and-machine-learning-series-33a30369d91a"> <div> <div> <h2>Day 50: 60 days of Data Science and Machine Learning Series</h2> <div><h3>Bidirectional Encoder Representations from Transformers ( BERT)…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*PPcW9IrXSJz9EXsr.png)"></div> </div> </div> </a> </div><h1 id="49bb">Day 64: Yellowbrick with 3rd project</h1><p id="ef54">In this project we implemented visualization using yellowbrick through a project</p><p id="e10f"><b><i>Where to find Day 64 post :</i></b></p><div id="defb" class="link-block"> <a href="https://readmedium.com/day-53-60-days-of-data-science-and-machine-learning-series-d42724810a11"> <div> <div> <h2>Day 53: 60 days of Data Science and Machine Learning Series</h2> <div><h3>Yellowbrick combines scikit-learn with matplotlib and provides the scikit-learn API to produce visualizations for the…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*_TgxKOrgmbXPANHr.png)"></div> </div> </div> </a> </div><h1 id="2129">Day 65: ANN, Linear Regression, Decision Tree Regression and Random Forest with a project</h1><p id="81e6">In this post we covered ANN, Linear Regression, Decision Tree Regression and Random Forest with a project</p><p id="2447"><b><i>Where to find Day 65 post :</i></b></p><div id="7493" class="link-block"> <a href="https://readmedium.com/day-56-60-days-of-data-science-and-machine-learning-series-71774a7fe5a1"> <div> <div> <h2>Day 56: 60 days of Data Science and Machine Learning Series</h2> <div><h3>ANN, Linear Regression, Decision Tree Regression and Random Forest with a project…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*6SU2q2Z1vxok06I0.png)"></div> </div> </div> </a> </div><h1 id="065b">Day 66: Principal Component Analysis with a project</h1><p id="0665">In this post we covered Principal Component Analysis with a project.</p><p id="c06c"><b><i>Where to find Day 66 post :</i></b></p><div id="cc17" class="link-block"> <a href="https://readmedium.com/day-35-60-days-of-data-science-and-machine-learning-series-63819382660"> <div> <div> <h2>Day 35: 60 days of Data Science and Machine Learning Series</h2> <div><h3>Principal Component Analysis with a project..</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*jtvhyG78lyvgPdryju_JHg.png)"></div> </div> </div> </a> </div><h1 id="d36d">Day 67: Hyperparameter Tuning with Keras Tuner</h1><p id="86ad">Hyperparameters are those tunable parameters which can directly affect how well a model trains and are set before the learning process begins.</p><p id="3e37"><b><i>Where to find Day 67 post :</i></b></p><div id="5b85" class="link-block"> <a href="https://medium.datadriveninvestor.com/hyperparameter-tuning-with-keras-tuner-3a609d3fd85b"> <div> <div> <h2>Hyperparameter Tuning with Keras Tuner</h2> <div><h3>Project Implementation….</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*jlaEz8AZaptNWHEr.png)"></div> </div> </div> </a> </div><h1 id="db7e">Day 68: Analyzing Video using Python, OpenCV and NumPy</h1><p id="72c8"><b><i>Where to find Day 68 post :</i></b></p><div id="971c" class="link-block"> <a href="https://medium.datadriveninvestor.com/analyzing-video-using-python-opencv-and-numpy-5471cab200c4"> <div> <div> <h2>Analyzing Video using Python, OpenCV and NumPy</h2> <div><h3>With Code Implementation…</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*PYNCDW3IXI2BcT5f.jpg)"></div> </div> </div> </a> </div><h1 id="afa0">Day 69 : Machine Learning Algorithms</h1><p id="42e1">This is a very important topic that you should master before diving in the NLP. Once you get hold of the basic ML algorithms you will apply those in the NLP projects that we build in this series.</p><p id="0a7d"><b><i>Where to find Day 69 post :</i></b></p><div id="3759" class="link-block"> <a href="https://readmedium.com/day-1-day-60-quick-recap-of-60-days-of-data-science-and-ml-6fc021643d1"> <div> <div> <h2>Day 1 — Day 60 : Quick Recap of 60 days of Data Science and ML</h2> <div><h3>Connect the ML dots…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ZfJ1yKIzPLGABAI_.png)"></div> </div> </div> </a> </div><h1 id="5ca1">Day 70: Basic terminologies/techniques like bag of Words, vectors, Stemming, Lemmatization, POS etc. used in NLP.</h1><p id="20f6">In this post we covered basic terminologies/techniques like bag of Words, vectors, Stemming, Lemmatization, POS etc. used in NLP.</p><p id="10c3"><b><i>Where to find Day 70 post :</i></b></p><div id="95c4" class="link-block"> <a href="https://readmedium.com/day-2-30-days-of-natural-language-processing-series-with-projects-d44adf23346a"> <div> <div> <h2>Day 2: 30 Days of Natural Language Processing Series with Projects</h2> <div><h3>Most important topics in NLP…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*OiBE0zkesg-2ZEeS.png)"></div> </div> </div> </a> </div><h1 id="38cb">Day 71: Basics of NLP and then started with SpaCy.</h1><p id="1cc0">In this post we covered some more basics of NLP and then started with SpaCy.</p><p id="dc0d"><b><i>Where to find Day 71 post :</i></b></p><div id="70e3" class="link-block"> <a href="https://readmedium.com/day-3-30-days-of-natural-language-processing-series-with-projects-e78e424f930f"> <div> <div> <h2>Day 3 : 30 days of Natural Language Processing Series with Projects</h2> <div><h3>SpaCy — Part 1 as we go…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*iE1Wh11LlPr9oDG1gqHYFQ.jpeg)"></div> </div> </div> </a> </div><h1 id="5ee6">Day 72: Advanced concepts of SpaCy</h1><p id="9520">In this post we covered advanced concepts of SpaCy in detail.</p><p id="d493"><b><i>Where to find Day 72 post :</i></b></p><div id="71fe" class="link-block"> <a href="https://readmedium.com/day-4-30-days-of-natural-language-processing-series-with-projects-db8a57d18b2c"> <div> <div> <h2>Day 4: 30 days of Natural Language Processing Series with Projects</h2> <div><h3>SpaCy part 2…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*ZGA_lsXRlWqr_tA9.png)"></div> </div> </div> </a> </div><h1 id="905b">Day 73: Implement Tokenization, POS tagging, Chunking, Named Entities Recognition ( NER)</h1><p id="a13e">In this post we SpaCy with a project where we implemented the advanced concepts of SpaCy like Tokenization, POS tagging, Chunking, Named Entities Recognition ( NER)</p><p id="89a4"><b><i>Where to find Day 73 post :</i></b></p><div id="f92e" class="link-block"> <a href="https://readmedium.com/day-5-30-days-of-natural-language-processing-series-with-projects-2ef4face244c"> <div> <div> <h2>Day 5: 30 days of Natural Language Processing Series with Projects</h2> <div><h3>SpaCy with a project — Part 1</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/1*Ybicf9aZAnmratYtPwnleA.png)"></div> </div> </div> </a> </div><h1 id="d2ad">Day 74: Regular Expressions — Part 1 in NLP</h1><p id="8d42">In this post we covered Regular Expressions — Part 1 in NLP. Regular Expressions are expressions/patterns used to find or match character combinations in text/strings. These are text-matching tool embedded in Python which are very useful in creating string searches/performing any modifications in Strings.</p><p id="4cc8"><b><i>Where to find Day 74 post :</i></b></p><div id="57f5" class="link-block"> <a href="https://readmedium.com/day-6-30-days-of-natural-language-processing-series-with-projects-ba128bccce6c"> <div> <div> <h2>Day 6: 30 days of Natural Language Processing Series with Projects</h2> <div><h3>Regular Expressions in NLP — Part 1…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*QiEUKoXh7qrg9zUY.jpg)"></div> </div> </div> </a> </div><h1 id="27d6">Day 75 : Regular Expressions — Part 2 in NLP</h1><p id="4ae1">In this post we covered Regular Expressions — Part 2 in NLP.</p><p id="1773"><b><i>Where to find Day 75 post :</i></b></p><div id="6b4f" class="link-block"> <a href="https://readmedium.com/day-7-30-days-of-natural-language-processing-series-with-projects-beb172f1f9ed"> <div> <div> <h2>Day 7: 30 days of Natural Language Processing Series with Projects</h2> <div><h3>Regular Expressions in NLP — Part 2…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Bd_8wuNfdFI3gnxF.png)"></div> </div> </div> </a> </div><h1 id="212a">All the Complete System Design Series Parts —</h1><blockquote id="f3fb"><p><a href="https://readmedium.com/complete-system-design-series-part-1-45bf9c8654bc"><b><i>1. System design basics</i></b></a></p></blockquote><blockquote id="c535"><p><a href="https://readmedium.com/complete-system-design-series-part-2-922f45f2faaf"><b><i>2. Horizontal and vertical scaling</i></b></a></p></blockquote><blockquote id="18a1"><p><a href="https://readmedium.com/part-3-complete-system-design-series-e1362baa8a4c"><b><i>3. Load balancing and Message queues</i></b></a></p></blockquote><blockquote id="4d43"><p><a href="https://readmedium.com/part-4-complete-system-design-series-138bc9fbcfc0"><b><i>4. High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture</i></b></a></p></blockquote><blockquote id="d211"><p><a href="https://readmedium.com/part-5-complete-system-design-series-4b9b04f23608"><b><i>5. Caching, Indexing, Proxies</i></b></a></p></blockquote><blockquote id="10ec"><p><a href="https://readmedium.com/part-6-complete-system-design-series-59a2d8bbf1ed"><b><i>6. Networking, How Browsers work, Content Network Delivery ( CDN)</i></b></a></p></blockquote><blockquote id="2fb1"><p><a href="https://readmedium.com/part-7-complete-system-design-series-1bef528923d6"><b><i>7. Database Sharding, CAP Theorem, Database schema Design</i></b></a></p></blockquote><blockquote id="982a"><p><a href="https://readmedium.com/part-8-complete-system-design-series-57bc88433c8e"><b><i>8. Concurrency, API, Components + OOP + Abstraction</i></b></a></p></blockquote><blockquote id="f09e"><p><a href="https://readmedium.com/part-9-complete-system-design-series-df975c85ec51"><b><i>9. Estimation and Planning, Performance</i></b></a></p></blockquote><blockquote id="9128"><p><b><i>10. <a href="https://readmedium.com/part-10-complete-system-design-series-523b4dd978bf?sk=741f92929c8639a2e4cf218521e8cc4a">Map Reduce, Patterns and Microservices</a></i></b></p></blockquote><blockquote id="f879"><p><b><i>11. <a href="https://naina0412.medium.com/part-11-complete-system-design-series-9c8efbc0237a?sk=5bddf2adc78ea4947ae88ab21c94af1c">SQL vs NoSQL and Cloud</a></i></b></p></blockquote><blockquote id="bdf5"><p><a href="https://readmedium.com/most-popular-system-design-questions-mega-compilation-45218129fe26"><b><i>12. Most Popular System Design Questions</i></b></a></p></blockquote><h1 id="a23a">Github —</h1><div id="b414" class="link-block"> <a href="https://github.com/Coder-World04/Complete-System-Design/blob/main/README.md"> <div> <div> <h2>Complete-System-Design/README.md at main · Coder-World04/Complete-System-Design</h2> <div><h3>This repository contains everything you need to become proficient in System Design Topics you should know in System…</h3></div> <div><p>github.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/)"></div> </div> </div> </a> </div><h1 id="4de8">More Projects —</h1><p id="77eb"><b><i>Complete Python And Projects — Mega Compilation</i></b></p><div id="0b1d" class="link-block"> <a href="https://readmedium.com/complete-python-and-projects-mega-compilation-7ec8f7adfe71"> <div> <div> <h2>Complete Python And Projects — Mega Compilation</h2> <div><h3>Everything that you need to know in Python with Projects…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*NnCSMN6etFjjw4Jn.jpg)"></div> </div> </div> </a> </div><p id="9cf7"><b><i>Complete Data Preprocessing and Data Visualization with Projects — Mega Compilation Part 2</i></b></p><div id="44cd" class="link-block"> <a href="https://readmedium.com/complete-data-preprocessing-and-data-visualization-with-projects-mega-compilation-part-2-41584ef0920e"> <div> <div> <h2>Complete Data Preprocessing and Data Visualization with Projects — Mega Compilation Part 2</h2> <div><h3>Connect the dots…</h3></div> <div><p>medium.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*CldkNr8foPB8kJbq.png)"></div> </div> </div> </a> </div><h2 id="a7fc">Maths —</h2><p id="e6aa"><b><i>Statistics for

Options

Data Science and Machine Learning with Code Implementation</i></b></p><div id="92d6" class="link-block"> <a href="https://medium.datadriveninvestor.com/day-7-60-days-of-data-science-and-machine-learning-6bc9cc2ceb0b"> <div> <div> <h2>Day 7–60 days of Data Science and Machine Learning</h2> <div><h3>Statistics all the way…</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*sPT2kkENlgLucOjh.png)"></div> </div> </div> </a> </div><p id="b7b6"><b><i>Maths for Data Science and Machine learning</i></b></p><p id="ff58">In this post we covered Maths for ML . Topics like Linear Algebra, Calculus, Matrix and Vectors, Bayes Theorem and Cheatsheets etc are covered in detail.</p><div id="fc38" class="link-block"> <a href="https://medium.datadriveninvestor.com/day-8-60-days-of-data-science-and-machine-learning-5155cfc78a68"> <div> <div> <h2>Day 8–60 days of Data Science and Machine Learning</h2> <div><h3>Maths Part 2..</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Yo4PPWLkbHv9UeG8)"></div> </div> </div> </a> </div><p id="19f0"><b><i>Part 6 of this series : Coming soon!</i></b></p><h1 id="20ad">Advanced SQL Series</h1><blockquote id="90b5"><p><b>Day 1 : <a href="https://readmedium.com/day-1-of-15-days-of-advanced-sql-series-a3676272dd5f?sk=991e8c82a9c378675080b83254ad13a2">SQL Basics and Kick start of Advanced SQL Series</a></b></p></blockquote><blockquote id="3423"><p><b>Day 2 : <a href="https://readmedium.com/day-1-of-15-days-of-advanced-sql-series-a3676272dd5f?sk=991e8c82a9c378675080b83254ad13a2">SQL Basics, Query Structure, Built In functions Conditions</a></b></p></blockquote><blockquote id="9f47"><p><b>Day 3 : <a href="https://readmedium.com/day-3-of-15-days-of-advanced-sql-series-c2ab52598a50?sk=bf9fb75360feb5d6506d04d011414d76">Most Important Commands, Joins and Filters</a></b></p></blockquote><blockquote id="b9e1"><p><b>Day 4 : <a href="https://readmedium.com/day-4-of-15-days-of-advanced-sql-series-3c06c9e1fc26?sk=336c132c67279805ba770156ed8e506d">Set Theory Operations, Stored Procedures and CASE statements in SQL</a></b></p></blockquote><blockquote id="718d"><p><b>Day 5 : <a href="https://readmedium.com/day-5-of-15-days-of-advanced-sql-series-310023a4083?sk=81c0eed74a24f3e43e54a0f087b898e7">Wildcards, Aggregation and Sequences in SQL</a></b></p></blockquote><blockquote id="daec"><p><b>Day 6 : <a href="https://readmedium.com/day-6-of-15-days-of-advanced-sql-series-548769f14138?sk=5a1b436c8b6ca2a738ba865f1972ee19">Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions</a></b></p></blockquote><blockquote id="d268"><p><b>Day 7 : <a href="https://readmedium.com/day-7-of-15-days-of-advanced-sql-series-5f93bbfa734?sk=1b0e08bb48cf75d76f327053814ad4a7">Window Functions, Grouping Sets and Constraints in SQL</a></b></p></blockquote><blockquote id="fe1f"><p><b>Day 8 : <a href="https://readmedium.com/day-8-of-15-days-of-advanced-sql-series-8387b74d270?sk=2734fb4be2e7968e0fa27612785a76ed">BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery</a></b></p></blockquote><blockquote id="653c"><p><b>Day 9 : <a href="https://readmedium.com/day-9-of-15-days-of-advanced-sql-series-6bfde9f997a6?sk=fa5b407ba124825c5b3b26109999e28b">Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases</a></b></p></blockquote><blockquote id="9d00"><p><b>Day 10 : <a href="https://readmedium.com/day-10-of-15-days-of-advanced-sql-series-9cb7438b1442?sk=437428d85d85281fa9c289fbafbaaa50">Triggers, Pivot and Cursors in SQL</a></b></p></blockquote><blockquote id="badc"><p><b>Day 11 : <a href="https://readmedium.com/day-11-of-15-days-of-advanced-sql-series-fbb863662786?sk=1342587e4be148ab2931280b52a3c05d">Views, Indexes and Auto Increment in SQL</a></b></p></blockquote><blockquote id="3b11"><p><b>Day 12 : <a href="https://readmedium.com/day-12-of-15-days-of-advanced-sql-series-98654987d9aa?sk=4c294f3c9807b87cceb52d6d8d7222bc">Query optimizations, Performance tuning in SQL</a></b></p></blockquote><blockquote id="8826"><p><b>Day 13 : <a href="https://readmedium.com/day-13-of-15-days-of-advanced-sql-series-991a315b73cf?sk=caacd74f6702270130e1875932e96d39">Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo DB, Introduction to SQL and NoSQL Databases</a></b></p></blockquote><blockquote id="5e9a"><p><b>Day 14 : <a href="https://readmedium.com/day-14-of-15-days-of-advanced-sql-series-c6126c3e8601?sk=221dc236be193d224b30a9d1972d3bb5">MySQL in Depth</a></b></p></blockquote><blockquote id="06b2"><p><b>Day 15 : <a href="https://readmedium.com/day-15-of-15-days-of-advanced-sql-series-9309f860bf1c?sk=4f44ece49732072fa796334f1611fc27">PostgreSQL inDepth</a></b></p></blockquote><p id="9662">Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —</p><blockquote id="6da9"><p><b>PostgreSQL inDepth</b></p></blockquote><p id="bba6"><b><i>Github for Advanced SQL that you can follow —</i></b></p><div id="325c" class="link-block"> <a href="https://github.com/Coder-World04/Complete-Advanced-SQL-Series/blob/main/README.md"> <div> <div> <h2>Complete-Advanced-SQL-Series/README.md at main · Coder-World04/Complete-Advanced-SQL-Series</h2> <div><h3>This repository contains everything you need to become proficient in Advanced SQL Structured Query Language Query…</h3></div> <div><p>github.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*Ryx7inaYd_Q2GsQu)"></div> </div> </div> </a> </div><p id="3f6b"><b><i>All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).</i></b></p><p id="f10f"><b><i>Subscribe today!</i></b></p><div id="7232" class="link-block"> <a href="https://www.youtube.com/channel/UCOdLTXh9sIiBR_s9yh3-bEQ/about"> <div> <div> <h2>Ignito</h2> <div><h3>Excited to share that we have launched our Youtube channel — Ignito to cover all the projects and coding exercise for …</h3></div> <div><p>www.youtube.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*okwkD4LOH9YJcx2S)"></div> </div> </div> </a> </div><h1 id="29d1">System Design Case Studies — In Depth</h1><blockquote id="c55d"><p><a href="https://readmedium.com/day-4-of-system-design-case-studies-series-design-instagram-part-1-10943440f29c?sk=38e68a213058e169e71754e00c501813"><b>Design Instagram</b></a></p></blockquote><blockquote id="23da"><p><a href="https://readmedium.com/day-5-of-system-design-case-studies-series-design-messenger-app-7b73c589f4a?sk=4a53b122e8f02836c17fa35622aa0309"><b>Design Messenger App</b></a></p></blockquote><blockquote id="ca00"><p><a href="https://readmedium.com/day-7-of-system-design-case-studies-series-design-twitter-fd0722d7bb7c?sk=cdfc23d38edd5f48dc30efdcc0801c3e"><b>Design Twitter</b></a></p></blockquote><blockquote id="52bb"><p><a href="https://readmedium.com/day-8-of-system-design-case-studies-series-design-url-shortener-91c812a08e0b?sk=5e20d426c91ebaacfe43031bc43642da"><b>Design URL Shortener</b></a></p></blockquote><blockquote id="dcc2"><p><a href="https://readmedium.com/day-9-of-system-design-case-studies-series-design-dropbox-ead523ccccfa?sk=03b3b4ea3633051f7a9a7d379b1066b8"><b>Design Dropbox</b></a></p></blockquote><blockquote id="25bf"><p><a href="https://readmedium.com/day-10-of-system-design-case-studies-series-design-youtube-58bc4ad09c4b?sk=18560ffcc3d7174566d38d60c99d4914"><b>Design Youtube</b></a></p></blockquote><blockquote id="6d16"><p><a href="https://readmedium.com/day-11-of-system-design-case-studies-series-design-api-rate-limiter-8627993c5a92?sk=fad32cada40f414aef47b7928dfb7e67"><b>Design API Rate Limiter</b></a></p></blockquote><blockquote id="3942"><p><a href="https://readmedium.com/day-12-of-system-design-case-studies-series-design-web-crawler-efba93f40030?sk=185e88e37fbc3d30dcaf41bc3863a868"><b>Design Web Crawler</b></a></p></blockquote><blockquote id="80bf"><p><a href="https://naina0412.medium.com/day-13-of-system-design-case-studies-series-design-facebooks-newsfeed-e96294c7d871?sk=f0956b536721902c7da6a1ec8e2f0880"><b>Design Facebook’s Newsfeed</b></a></p></blockquote><blockquote id="2353"><p><a href="https://readmedium.com/day-14-of-system-design-case-studies-series-design-yelp-af432d13e838?sk=55e19b7d8ad43c4109e9b1694678c177"><b>Design Yelp</b></a></p></blockquote><blockquote id="dcb7"><p><a href="https://readmedium.com/day-15-of-system-design-case-studies-series-design-uber-2adc612701d?sk=d1c5481fcfd4f30e84074e5a5d7c548e"><b>Design Uber</b></a></p></blockquote><blockquote id="580e"><p><a href="https://readmedium.com/day-16-of-system-design-case-studies-series-design-tinder-a0867163f449?sk=6313f0b9760c3d78a17443a98bdb3330"><b>Design Tinder</b></a></p></blockquote><blockquote id="6b84"><p><a href="https://readmedium.com/day-17-of-system-design-case-studies-series-design-tiktok-58e5a93bcfb5?sk=5eed7cbac7af8b6506951417514ec8e0"><b>Design Tiktok</b></a></p></blockquote><blockquote id="1a51"><p><a href="https://readmedium.com/day-18-of-system-design-case-studies-series-design-whatsapp-38ec39f32b44?sk=89cc7003e78917fd65330ad56a7ed8f0"><b>Design Whatsapp</b></a></p></blockquote><blockquote id="86fc"><p><a href="https://readmedium.com/most-popular-system-design-questions-mega-compilation-45218129fe26?sk=6432dd01c067dd28bc81da1dfceccdab"><b>Most Popular System Design Questions</b></a></p></blockquote><blockquote id="a7f7"><p><a href="https://readmedium.com/quick-roundup-solved-system-design-case-studies-6ad776d437cf?sk=e42f56968e1b592382f484c222e7c111"><b>Mega Compilation : Solved System Design Case studies</b></a></p></blockquote><h1 id="c325">Complete Data Structures and Algorithm Series</h1><blockquote id="c8f1"><p><a href="https://readmedium.com/day-4-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-83d4c90d9115?sk=8ab3d284915f8f28534651d1c9cf41e5"><b>Complexity Analysis</b></a></p></blockquote><blockquote id="c155"><p><a href="https://readmedium.com/day-5-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-backtracking-f7de93dbe72d?sk=08c8ce11404387e46fdd73013aec267f"><b>Backtracking</b></a></p></blockquote><blockquote id="66fd"><p><a href="https://readmedium.com/day-3-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-af62dc4aec9c?sk=704354dbc4c0048ac0a0b5c97f1eef0e"><b>Sliding Window</b></a></p></blockquote><blockquote id="da37"><p><a href="https://readmedium.com/day-6-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-greedy-technique-4b219a8488d0?sk=540b74ce2d13f345dd00cbbfb252815f"><b>Greedy Technique</b></a></p></blockquote><blockquote id="d262"><p><a href="https://readmedium.com/day-8-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-two-pointer-7c513302dfa9?sk=cc32bc3ce22139845c64d195553859e0"><b>Two pointer Technique</b></a></p></blockquote><blockquote id="43b9"><p><a href="https://readmedium.com/day-11-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-arrays-bf7045a3c98b?sk=42ad70a29aa9f7891794d7feaa63bea9"><b>Arrays</b></a></p></blockquote><blockquote id="8dbb"><p><a href="https://readmedium.com/day-13-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-linked-list-6536f0041153?sk=952899c3d2e2bd5b4dbd6c8ad7debf05"><b>Linked List</b></a></p></blockquote><blockquote id="29e2"><p><a href="https://readmedium.com/day-12-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-strings-fa27c45a5fd6?sk=f6b3fc7bf5c770d2d04107667be1c446"><b>Strings</b></a></p></blockquote><blockquote id="95aa"><p><a href="https://readmedium.com/day-14-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-stack-b26d68eb3477?sk=ed28cc4e45134ad3562a3594ddea4017"><b>Stack</b></a></p></blockquote><blockquote id="07fc"><p><a href="https://readmedium.com/day-15-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-queue-db38d5477cd5?sk=44ae516bf0f1da510ee9618b7f135995"><b>Queues</b></a></p></blockquote><blockquote id="0e08"><p><a href="https://readmedium.com/day-17-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-hash-ddfe72657211?sk=a457b598d5f5f3d2572029693c587198"><b>Hash Table/Hashing</b></a></p></blockquote><blockquote id="b6d3"><p><a href="https://readmedium.com/day-16-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-binary-search-8799ce6321cb?sk=e4ee1b96f1cd2f9531b5e739539d8b7e"><b>Binary Search</b></a></p></blockquote><blockquote id="5586"><p><a href="https://readmedium.com/day-7-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-1-d-dynamic-2560f585499?sk=0756b6bd798238d9a96fe3d161690350"><b>1- D Dynamic Programming</b></a></p></blockquote><blockquote id="be69"><p><a href="https://readmedium.com/day-10-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-divide-and-a00f7375507?sk=3d52023dade6f37c396b58e039ca29f2"><b>Divide and Conquer Technique</b></a></p></blockquote><blockquote id="b173"><p><a href="https://readmedium.com/day-9-of-30-days-of-data-structures-and-algorithms-and-system-design-simplified-recursion-ed6f7f41742?sk=bf98ce6abdb3e3f2fa71213c6ed8caa9"><b>Recursion</b></a></p></blockquote><p id="9215"><b>Github —</b></p><div id="3244" class="link-block"> <a href="https://github.com/Coder-World04/Complete-Data-Structures-and-Algorithms"> <div> <div> <h2>GitHub — Coder-World04/Complete-Data-Structures-and-Algorithms: This repository contains everything…</h2> <div><h3>This repository contains everything you need to become proficient in Data Structures and Algorithms Start here : Day 1…</h3></div> <div><p>github.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*82WWl4vZvYx1zwkR)"></div> </div> </div> </a> </div><h1 id="01de">For other projects, tune to —</h1><p id="b31f"><b>Build Machine Learning Pipelines( With Code)</b></p><div id="5b37" class="link-block"> <a href="https://medium.datadriveninvestor.com/build-machine-learning-pipelines-with-code-part-1-bd3ed7152124"> <div> <div> <h2>Build Machine Learning Pipelines( With Code) — Part 1</h2> <div><h3>Complete implementation…</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*KdToBD8RDMBH4jXM.png)"></div> </div> </div> </a> </div><p id="946c"><b>Recurrent Neural Network with Keras</b></p><div id="607d" class="link-block"> <a href="https://medium.datadriveninvestor.com/recurrent-neural-network-with-keras-b5b5f6fe5187"> <div> <div> <h2>Recurrent Neural Network with Keras</h2> <div><h3>Project Implementation and cheatsheet…</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*xs3Dya3qQBx6IU7C.png)"></div> </div> </div> </a> </div><p id="ccaa"><b>Custom Layers in Keras</b></p><div id="e4fd" class="link-block"> <a href="https://medium.datadriveninvestor.com/custom-layers-in-keras-de5f793217aa"> <div> <div> <h2>Custom Layers in Keras</h2> <div><h3>Code implementation …</h3></div> <div><p>medium.datadriveninvestor.com</p></div> </div> <div> <div style="background-image: url(https://miro.readmedium.com/v2/resize:fit:320/0*1IH67KJadqeqeO01.png)"></div> </div> </div> </a> </div><p id="5983"><b><i>Follow for more updates, stay tuned and of-course let me end this post with a quote by Steve Jobs ;)</i></b></p><p id="fb35" type="7">“Your time is limited, so don’t waste it living someone else’s life.”</p></article></body>

Data Science And Machine Learning Projects — Mega Compilation Part 5

Connect the dots…

Pic credits : ResearchGate

Welcome back peeps. This post( part 5) is all about Data Science and Machine Learning Projects that you can build to practically understand the concepts.

Some of the other best Series —

30 Days of Natural Language Processing ( NLP) Series

30 days of Data Engineering with projects Series

60 days of Data Science and ML Series with projects

100 days : Your Data Science and Machine Learning Degree Series with projects

23 Data Science Techniques You Should Know

Tech Interview Series — Curated List of coding questions

Complete System Design with most popular Questions Series

Complete Data Visualization and Pre-processing Series with projects

Complete Python Series with Projects

Complete Advanced Python Series with Projects

Kaggle Best Notebooks that will teach you the most

Complete Developers Guide to Git

All the Data Science and Machine Learning Resources

210 Machine Learning Projects

30 days of Machine Learning Ops

Projects Videos —

All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).

Subscribe today!

Tech Newsletter —

If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :

Pre-requisites

Python projects —

Part 1 of this mega series ( Day 0 — Day 20) can be found here —

Part 2 of this mega series ( Day 21 — Day 35) can be found here —

Part 3 of this mega series ( Day 36 — Day 48) can be found here —

Part 4 of this mega series ( Day 49— Day 62) can be found here —

Highly Recommended Data Science and Machine Learning Courses that you MUST take ( with certificate) —

Complete Data Scientist

Complete Data Analyst

Complete Data Engineering

Complete Machine Learning Engineer

Complete Deep Learning

Complete Natural Language Processing

Complete Self Driving Car Engineer

Part 5:Here we go —

Day 63 : Bidirectional Encoder Representations from Transformers ( BERT) with a project

In this post we learned how to fine tune BERT for text classification.

Where to find Day 54 post :

Day 64: Yellowbrick with 3rd project

In this project we implemented visualization using yellowbrick through a project

Where to find Day 64 post :

Day 65: ANN, Linear Regression, Decision Tree Regression and Random Forest with a project

In this post we covered ANN, Linear Regression, Decision Tree Regression and Random Forest with a project

Where to find Day 65 post :

Day 66: Principal Component Analysis with a project

In this post we covered Principal Component Analysis with a project.

Where to find Day 66 post :

Day 67: Hyperparameter Tuning with Keras Tuner

Hyperparameters are those tunable parameters which can directly affect how well a model trains and are set before the learning process begins.

Where to find Day 67 post :

Day 68: Analyzing Video using Python, OpenCV and NumPy

Where to find Day 68 post :

Day 69 : Machine Learning Algorithms

This is a very important topic that you should master before diving in the NLP. Once you get hold of the basic ML algorithms you will apply those in the NLP projects that we build in this series.

Where to find Day 69 post :

Day 70: Basic terminologies/techniques like bag of Words, vectors, Stemming, Lemmatization, POS etc. used in NLP.

In this post we covered basic terminologies/techniques like bag of Words, vectors, Stemming, Lemmatization, POS etc. used in NLP.

Where to find Day 70 post :

Day 71: Basics of NLP and then started with SpaCy.

In this post we covered some more basics of NLP and then started with SpaCy.

Where to find Day 71 post :

Day 72: Advanced concepts of SpaCy

In this post we covered advanced concepts of SpaCy in detail.

Where to find Day 72 post :

Day 73: Implement Tokenization, POS tagging, Chunking, Named Entities Recognition ( NER)

In this post we SpaCy with a project where we implemented the advanced concepts of SpaCy like Tokenization, POS tagging, Chunking, Named Entities Recognition ( NER)

Where to find Day 73 post :

Day 74: Regular Expressions — Part 1 in NLP

In this post we covered Regular Expressions — Part 1 in NLP. Regular Expressions are expressions/patterns used to find or match character combinations in text/strings. These are text-matching tool embedded in Python which are very useful in creating string searches/performing any modifications in Strings.

Where to find Day 74 post :

Day 75 : Regular Expressions — Part 2 in NLP

In this post we covered Regular Expressions — Part 2 in NLP.

Where to find Day 75 post :

All the Complete System Design Series Parts —

1. System design basics

2. Horizontal and vertical scaling

3. Load balancing and Message queues

4. High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture

5. Caching, Indexing, Proxies

6. Networking, How Browsers work, Content Network Delivery ( CDN)

7. Database Sharding, CAP Theorem, Database schema Design

8. Concurrency, API, Components + OOP + Abstraction

9. Estimation and Planning, Performance

10. Map Reduce, Patterns and Microservices

11. SQL vs NoSQL and Cloud

12. Most Popular System Design Questions

Github —

More Projects —

Complete Python And Projects — Mega Compilation

Complete Data Preprocessing and Data Visualization with Projects — Mega Compilation Part 2

Maths —

Statistics for Data Science and Machine Learning with Code Implementation

Maths for Data Science and Machine learning

In this post we covered Maths for ML . Topics like Linear Algebra, Calculus, Matrix and Vectors, Bayes Theorem and Cheatsheets etc are covered in detail.

Part 6 of this series : Coming soon!

Advanced SQL Series

Day 1 : SQL Basics and Kick start of Advanced SQL Series

Day 2 : SQL Basics, Query Structure, Built In functions Conditions

Day 3 : Most Important Commands, Joins and Filters

Day 4 : Set Theory Operations, Stored Procedures and CASE statements in SQL

Day 5 : Wildcards, Aggregation and Sequences in SQL

Day 6 : Subqueries, Group by, order by and Having clauses in SQL and Analytical Functions

Day 7 : Window Functions, Grouping Sets and Constraints in SQL

Day 8 : BigQuery Basics, SELECT, FROM, WHERE and Date and Extract in BigQuery

Day 9 : Common Expression Table, UNNEST Clause, SQL vs NoSQL Databases

Day 10 : Triggers, Pivot and Cursors in SQL

Day 11 : Views, Indexes and Auto Increment in SQL

Day 12 : Query optimizations, Performance tuning in SQL

Day 13 : Introduction to MySQL, PostgreSQL and Mongo DB, Comparison between MySQL and PostgreSQL and Mongo DB, Introduction to SQL and NoSQL Databases

Day 14 : MySQL in Depth

Day 15 : PostgreSQL inDepth

Anyways, For Day 15 of 15 days of Advanced SQL, we will cover —

PostgreSQL inDepth

Github for Advanced SQL that you can follow —

All the projects, data structures, algorithms, system design, Data Science and ML, Data Engineering, MLOps and Deep Learning videos will be published on our youtube channel ( just launched).

Subscribe today!

System Design Case Studies — In Depth

Design Instagram

Design Messenger App

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Design API Rate Limiter

Design Web Crawler

Design Facebook’s Newsfeed

Design Yelp

Design Uber

Design Tinder

Design Tiktok

Design Whatsapp

Most Popular System Design Questions

Mega Compilation : Solved System Design Case studies

Complete Data Structures and Algorithm Series

Complexity Analysis

Backtracking

Sliding Window

Greedy Technique

Two pointer Technique

Arrays

Linked List

Strings

Stack

Queues

Hash Table/Hashing

Binary Search

1- D Dynamic Programming

Divide and Conquer Technique

Recursion

Github —

For other projects, tune to —

Build Machine Learning Pipelines( With Code)

Recurrent Neural Network with Keras

Custom Layers in Keras

Follow for more updates, stay tuned and of-course let me end this post with a quote by Steve Jobs ;)

“Your time is limited, so don’t waste it living someone else’s life.”

Programming
Data Science
Machine Learning
Tech
Software Development
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