The Complete Machine Learning & Data Science Bootcamp - Course Resources List



Section 2: Predict Movie Box Office Revenue with Linear Regression


Section 3: Python Programming for Data Science and Machine Learning


Section 4: Introduction to Optimisation and the Gradient Descent Algorithm


Section 5: Predict House Prices with Multivariable Linear Regression


Section 6: Pre-Process Text Data for a Naive Bayes Classifier to Filter Spam Emails (Part 1)


Section 7: Train a Naive Bayes Classifier to Create a Spam Filter (Part 2)


Section 8: Test and Evaluate a Naive Bayes Classifier (Part 3)


Section 9: Introduction to Neural Networks and How to Use Pre-Trained Models


Section 10: Build an Artificial Neural Network to Recognise Images using Keras and Tensorflow


Section 11: Use Tensorflow to Classify Handwritten Digits


Section 12: Serving a Tensorflow Model through a Website