avatarEbrahim Haque Bhatti

Summary

This article provides a list of 40 beginner-friendly Kaggle notebooks for learning Exploratory Data Analysis (EDA) on different types of data such as image, text, and tabular data.

Abstract

The article is a curated list of Kaggle notebooks for beginners to learn EDA on various types of data. The notebooks cover topics such as image data, text data, and tabular data (classification, regression, time series). Each notebook is linked and titled with a brief description of what it covers. The article also provides additional resources for learning more about Kaggle competitions and discussions.

Opinions

  • The article is aimed at beginners who are looking to learn EDA on different types of data.
  • The author believes that these notebooks are the best beginner-friendly resources for learning EDA on Kaggle.
  • The article provides a diverse set of notebooks covering various topics and types of data.
  • The author emphasizes the importance of learning EDA as a fundamental skill for data science and machine learning.
  • The article encourages readers to explore the resources and learn from the best practices of Kaggle grandmasters.
  • The author recommends an AI service for cost-effective access to the same performance and functions as ChatGPT Plus(GPT-4).
  • The article concludes by providing additional resources for learning more about Kaggle competitions and discussions.

40 of the Best Beginner-Friendly Kaggle Notebooks to Learn Exploratory Data Analysis (EDA)

Image Data, Text Data, Tabular Data (Classification, Regression, Time Series)

Photo by Dids from Pexels

Following are the hyperlinks to forty of the best beginner-friendly Kaggle Notebooks to learn Exploratory Data Analysis:

Tabular Data

  1. EDA To Prediction(DieTanic)
  2. Comprehensive data exploration with Python
  3. Back to (predict) the future — Interactive M5 EDA
  4. Song Popularity EDA — Live Coding Fun
  5. Be my guest — Recruit Restaurant EDA
  6. Pytanic
  7. When Stars Collide — G2Net EDA
  8. Explorations of Action — MoA EDA
  9. Jump Shot to Conclusions — March Madness EDA
  10. 📈Exploring Time Series plots: Beginners Guide📈
  11. JPX — Detailed EDA
  12. 🚀Spaceship Titanic -📊EDA + 27 different models📈
  13. Zomato Complete EDA and LSTM model
  14. EDA, PCA + Simple LGBM on KFold Technique
  15. AMEX EDA which makes sense
  16. TPSMAY22 EDA which makes sense
  17. TPSAPR22 EDA which makes sense
  18. TPSMAR22 EDA which makes sense
  19. TPSFEB22–01 EDA which makes sense
  20. TPSJAN22–01 EDA which makes sense

— — — — —

Image Data

21. Dimensionality Reduction and PCA for Fashion MNIST

22. Basic EDA with Images

23. Cassava Leaf Disease — Exploratory Data Analysis

24. MNIST Classification: EDA, PCA, CNN [ 99.7% score]

25. Visualisation of Siamese Net

26. Whales&Dolphins: EffNet Embedding cos Distance

27. TF: Hybrid EfficientNet Swin-Transformer : GradCAM

28. ⚕️ AW-Madison: EDA & In Depth Mask Exploration

29. 🎨Hidden Gems: SpecialSauces to create amazing EDA

30. Tutorial Part 1: EDA for Beginners

— — — — —

Text Data

31. Basic EDA,Cleaning and GloVe

32. NLP with Disaster Tweets — EDA, Cleaning and BERT

33. Disaster Tweets NLP: EDA & BERT With Transformers

34. NLP on Student Writing: EDA

35. Sentiment Analysis — Cleaning,EDA & BERT(88% Acc)

36. NLP EDA📝 GloVe, BERT, TF-IDF, LSTM… 📝 Explained

37. Cyberbullying on Twitter Visualization 🤬

38. Goodreads: Analysis and Recommending Books.

39. Twitter sentiment Extaction-Analysis,EDA and Model

40. NLP — EDA, Bag of Words, TF IDF, GloVe, BERT

— — — — —

For more resources click below:

  1. Kaggle Grandmasters Sharing their Secret Sauce on how to Win Kaggle Competitions
  2. 50 of the most profound Kaggle Discussions (tips, tricks, resources) by the top Kaggle Grandmasters
  3. 50 more profound Kaggle Discussions (tips, tricks, feature engineering, resources) by the top Kaggle Grandmasters
  4. 50 Kaggle Notebooks to Learn Data Visualization
Kaggle
Exploratory Data Analysis
Machine Learning
Data Science
Data Visualization
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