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This repo contains the solutions of the assignments of the courses and submissions in the competitions with dataset required, which were part of 30 Days of ML by Kaggle.

Home Page: https://www.kaggle.com/thirty-days-of-ml

License: Apache License 2.0

Jupyter Notebook 100.00%
kaggle kaggle-competition kaggle-dataset kaggle-titanic kaggle-digit-recognizer 30daysofml python3 pandas machine-learning jupyter-notebook

30-days-of-ml-kaggle's Introduction

30 Days of ML by Kaggle

This repo is made for the purpose of 30 Days of ML challenge provided by Kaggle from August 02-31, 2021.

Check the whole program schedule and assignments here.

Courses:

  1. Python - Mandatory - checkout the course here
  2. Pandas - Not mandatory but useful - checkout the course here
  3. Data Visualization - Not mandatory but useful - checkout the course here
  4. Intro to Machine Learning - Mandatory - checkout the course here
  5. Intermediate Machine Learning - Mandatory - checkout the course here

Getting Started Basic Competitions:

  1. Titanic - Machine Learning from Disaster - Find more about it here
  2. Housing Prices Competition for Kaggle Learn Users - Find more about it here

Courses are prepared considering Data Analysis and Kaggle Competitions in mind. Useful for both beginners and if someone wants to brush up concepts fast. Courses are of on average 4 hours.

This repo contains the solutions of the assignments of the courses and submissions in the competitions with dataset required.

Follow me on Kaggle - Ridam Hazra

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