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Linear Regression from Scratch with Python | Step by Step Guide

ML models from Scratch - Linear Regression Implementation. Watch Previous session on “KNN Implementation from Scratch with Python” :    • KNN Implementation from Scratch with ...   Learn how to build your own linear regression model from scratch in Python with this step-by-step guide! In this video, we'll take you through the implementation of linear regression from scratch, covering the basics of linear regression, data preprocessing, and model training. You'll learn how to write your own linear regression algorithm in Python, and how to use it to make predictions on a sample dataset. By the end of this video, you'll have a solid understanding of linear regression and be able to implement it in your own projects. Whether you're a beginner or an experienced data scientist, this video is perfect for anyone looking to improve their machine learning skills. So, let's get started and build our own linear regression model from scratch in Python! 🎯 Topics covered in this video: ⌨️ Gradient Descent Steps. Loss function and derivatives of loss. ⌨️ Implementing Gradient Descent Optimization in Python. ⌨️ Creating linear regression model. Generate test predictions. ⌨️ Model evaluation : Writing custom MSE, RMSE functions. ⌨️ Generating a Plot that depicts the regression line. Resources: 🔗 Code : https://github.com/mohangollapalli/ml... #linearregression #gradientdescent #machinelearning #datascience #python Time breaks: 00:00 Introduction and Gradient Descent Steps 05:16 Python Implementation: LinearRegression 14:22 Creating model object 15:38 Evaluation metrics 19:08 Optimization Convergence 20:27 Plotting the Regression Line Make sure to subscribe and hit the notification bell to get the latest on deep learning, machine learning, and AI tutorials! 💻 ‪@SimplifiedAICourse‬