/30-Days-of-ML-Kaggle

Primary LanguageJupyter NotebookMIT LicenseMIT

30-Days-of-ML-Kaggle 🔥

About the Hands On Program 💻

Machine learning beginner → Kaggle competitor in 30 days. Non-coders welcome

The program starts Monday, August 2, and lasts four weeks. It's designed for people who: ✏️

  • Have not coded in Python much (or at all!)
  • Want to make the most of Kaggle, but aren't sure how.

Program Highlights ✏

  • 2 weeks of daily, hands-on assignments (with emails to keep you on track)
  • Course completion certificates
  • Learning community chat room access
  • Elective workshops by Google's Developer Expert Data Science Program
  • Invitation to a beginner-friendly, invite-only Kaggle competition
  • Competition prizes (Kaggle Swag for top 10 teams on leaderboard)

📌 Table of Content

Day📆 Task Code Link 🔗
01 Titanic-Random Forest Day_01_Link
02 Hello, Python Day_02_Link
03 Function & Getting Help Day_03_Link
04 Booleans and Conditionals Day_04_Link
05 Lists and Loops & List Comprehensions Day_05_Link
06 Strings and Dictioniaries Day_06_Link
07 Working with External Libraries Day_07_Link
08 Model-Work & Basic-Data-Exploration Day 08_Link
09 First-Machine-Learning-Model-and-Model-Validation Day 09 Link
10 Underfitting-and-Overfitting-&-Random-Forests Day 10_Link
11 Machine-Learning-Competitions Day 11 Link
12 Introduction-to-Missing-values-&categorical-values Day 12 Link
13 Pipelines-&-Cross-validations Day 13 Link
14 XGBoost-&-Data-validation Day 14 Link
15 15 Day Kaggle Competition Day_15_link
16 16 Day Kaggle Competition Day_16_link
17 17 Day Kaggle Competition Day_17_link
18 18 Day Kaggle Competition Day_18_link
19 19 Day Kaggle Competition Day_19_link
20 20 Day Kaggle Competition Day_20_link

Update in progress...

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@misc{Charged Neuron,
    author       = {Roja Achary},
    title        = {30-Days-Of-ML-Kaggle},
    month        = {August},
    year         = {2021}
}