Movie Streaming Revenue Prediction: One Hot Encoding & Linear Regression | AI Lab 99 - Episode 4 скачать в хорошем качестве

Movie Streaming Revenue Prediction: One Hot Encoding & Linear Regression | AI Lab 99 - Episode 4

Learn how to build a Movie Streaming Revenue Prediction model using Multiple Linear Regression and One Hot Encoding. In Episode 4 of AI Lab 99, we tackle more complex categorical data by expanding beyond binary choices into multiple categories. Welcome back to AI Lab 99 🚀 This is a hands-on video series where we build end-to-end AI applications, moving from simple machine learning models to advanced AI systems. Episode 4: Movie Streaming Revenue Prediction using Multiple Linear Regression & One Hot Encoding In this video, we level up our data preprocessing skills. While we covered Binary Encoding in the previous episode to handle "Yes/No" data, today we explore One Hot Encoding. This technique allows us to handle features with multiple categories—like Genre or Region—so we can accurately predict streaming revenue. Key Machine Learning Concepts Covered: Multiple Linear Regression: Predicting continuous values (Revenue) based on multiple independent variables. One Hot Encoding with Pandas: Using pd.get_dummies to transform multi-category text data into a machine-readable format. Feature Expansion: Understanding how your dataset grows as you encode more categorical features. Data Preparation: Managing multiple features simultaneously to build a more robust prediction model. 🔗 Missed the previous step? In Episode 3, we covered Binary Feature Encoding for simpler categorical data. Watch it here:    • Auto Insurance Premium Prediction using Li...   📂 GitHub Repository (Full Code): https://github.com/bapiraj/ai-lab-99/... 📺 Watch the Full AI Lab 99 Series:    • Build a Housing Price Predictor with Linea...   #MachineLearning #DataScience #AILab99 #LinearRegression #OneHotEncoding #Python #Pandas #MovieRevenuePrediction