This is a four-week challenge that started on 2nd Aug, 2021
- Follow the instructions in this notebook to get started with Kaggle
- Join 30 Days of ML Discord Community and introduce yourself in the #introductions channel
- Read this tutorial (from Lesson 1 of the Python course)
- Complete this exercise (from Lesson 1 of the Python course)
- Read this tutorial (from Lesson 2 of the Python course)
- Complete this exercise (from Lesson 2 of the Python course)
- Read this tutorial (from Lesson 3 of the Python course)
- Complete this exercise (from Lesson 3 of the Python course)
- Read this tutorial (from Lesson 4 of the Python course)
- Complete this exercise (from Lesson 4 of the Python course)
- Read this tutorial (from Lesson 5 of the Python course)
- Complete this exercise (from Lesson 5 of the Python course)
- Read this tutorial (from Lesson 6 of the Python course)
- Complete this exercise (from Lesson 6 of the Python course)
- Read this tutorial (from Lesson 7 of the Python course)
- Complete this exercise (from Lesson 7 of the Python course)
- Read this tutorial (from Lesson 1 of the Intro to ML course)
- Read this tutorial (from Lesson 2 of the Intro to ML course)
- Complete this exercise (from Lesson 2 of the Intro to ML course)
- Read this tutorial (from Lesson 3 of the Intro to ML course)
- Complete this exercise (from Lesson 3 of the Intro to ML course)
- Read this tutorial (from Lesson 4 of the Intro to ML course)
- Complete this exercise (from Lesson 4 of the Intro to ML course)
- Read this tutorial (from Lesson 5 of the Intro to ML course)
- Complete this exercise (from Lesson 5 of the Intro to ML course)
- Read this tutorial (from Lesson 6 of the Intro to ML course)
- Complete this exercise (from Lesson 6 of the Intro to ML course)
- Read this tutorial (from Lesson 7 of the Intro to ML course)
- Complete this exercise (from Lesson 7 of the Intro to ML course)
- Read this tutorial (from Lesson 1 of the Intermediate ML course)
- Complete this exercise (from Lesson 1 of the Intermediate ML course)
- Read this tutorial (from Lesson 2 of the Intermediate ML course)
- Complete this exercise (from Lesson 2 of the Intermediate ML course)
- Read this tutorial (from Lesson 3 of the Intermediate ML course)
- Complete this exercise (from Lesson 3 of the Intermediate ML course)
- Read this tutorial (from Lesson 4 of the Intermediate ML course)
- Complete this exercise (from Lesson 4 of the Intermediate ML course)
- Read this tutorial (from Lesson 5 of the Intermediate ML course)
- Complete this exercise (from Lesson 5 of the Intermediate ML course)
- Read this tutorial (from Lesson 6 of the Intermediate ML course)
- Complete this exercise (from Lesson 6 of the Intermediate ML course)
- Read this tutorial (from Lesson 7 of the Intermediate ML course)
- Complete this exercise (from Lesson 7 of the Intermediate ML course)
Week3 and week4 is a invite only challenge
As soon as the challenge finishs, It will upload the link of the challenge
Welcome to the 30 Days of ML competition!
For the final two weeks of the program, you will work on this competition, open only to people who have signed up for the 30 Days of ML program. The top 10 teams will receive swag as prizes!
Data Description
For this competition, you will be predicting a continuous target based on a number of feature columns given in the data. All of the feature columns, cat0 - cat9 are categorical, and the feature columns cont0 - cont13 are continuous.
Files
- train.csv - the training data with the target column
- test.csv - the test set; you will be predicting the target for each row in this file
- sample_submission.csv - a sample submission file in the correct format