Kaggle 30 Days of ML - Day 12 - Missing Values and Categorical Variables

Dive into day 12 of Kaggle's 30 Days of ML Challenge with this 50-minute video tutorial. Learn essential machine learning techniques in Python, focusing on handling missing values and encoding categorical variables. Explore three different approaches for dealing with missing data and discover how to work effectively with categorical variables in your datasets. Follow along with provided Kaggle tutorials and exercises, covering introduction, missing values, and categorical variables. Gain practical skills to overcome common data preprocessing challenges in machine learning projects. Part of a comprehensive series, this video builds on previous days' content and prepares you for future lessons in the 30-day challenge.