Kaggle 30 Days of ML – Day 1

Starting today Kaggle is offering 30 days of tutorials for those looking to get started with Machine Learning. Kaggle 30 Days of ML – Day 1 starts with a walkthrough of the Kaggle environment to get participants familiar with their user interface, practice using their integrated notebooks, and get hands-on with the Python programming language.

The first machine learning project is their famous Titanic Tutorial. While this tutorial is simple, it provides learners with an opportunity to go through all of the steps for creating, running, and submitting their work in the Kaggle environment.

Other topics covered during the 30 days are:

• Python
  • Lists
  • List Comprehension
  • Functions
  • Loops and Conditions
  • String and Dictionaries
  • Working with Libraries
• Exploratory Data Analysis
• Model Validation
• Overfitting and Underfitting Models
• Random Forests
• AutoML
• Working with Categorical Data
• Pipelines
• Dealing with Missing Data in Datasets
• Cross-Validation
• XGBoost

Along with additional workshops

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