Introduction to Machine Learning with SciKit LearnTraining Your First Machine Learning Model from Scratch

This course delves into the foundational steps required to build and train a linear regression model from scratch using scikit-learn. You will understand the basics of model training, evaluation, and prediction.

House Area and Price Relationship

Enhance Data Visualization by Changing Sample Size

Complete the Data Generation and Visualization

Training the Linear Regression Model

Adjust Base Price and Price per Square Foot

Predicting House Prices with Linear Regression

Training a Linear Regression Model from Scratch

Train Your Linear Regression Model

Predicting and Visualizing House Prices

Visualize Predicted Prices Using Line Plot

Predict House Prices

Debugging House Price Predictions

Making Predictions from Scratch

Evaluating House Price Predictions

Removing Noise from Synthetic Data

Predict House Prices and Calculate MSE

Calculating and Comparing Mean Squared Error (MSE)

Predicting California House Prices

Modifying Feature Selection to Evaluate MSE

California Housing Model Debugging

Preparing Data and Making Predictions