Machine Learning
1,548 learners
Regression and Gradient Descent
Dig deep into regression and learn about the gradient descent algorithm. This course does not rely on high-level libraries like scikit-learn, but focuses on building these algorithms from scratch for a thorough understanding. Master the implementation of simple linear regression, multiple linear regression, and logistic regression powered by gradient descent.
Python
4 lessons
17 practices
3 hours
Machine Learning Model Development
Lessons and practices
Unveiling the Magic of Sales Prediction
Predicting Sales Using Simple Linear Regression Constants
Calculating the Coefficients of Linear Regression
Mysterious Prediction Model Failure
Determining House Prices with Multiple Features
Predicting Housing Prices with Multiple Linear Regression
Calculating Coefficients in Multiple Linear Regression
House Price Prediction with Multiple Linear Regression
Adjust the Learning Rate
Applying Gradient Descent in Real Estate Pricing
Implementing Gradient Descent in Real Estate Analysis
Trying New Approach
Sigmoid Function: From Input to Probability
Implementing the Sigmoid Function
Evaluating Spam Filter Accuracy with Logistic Regression
Adding the Gradient to Logistic Regression
Implementing the Sigmoid Function in Logistic Regression
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