Linux Basics Course Overview Lab Overview Introduction to ML Support Vector Machines Classification Training Models Decision Trees Ensemble Learning and XGBoost End-to-End Project- Self contained Dimensionality Reduction Project - Forecast Bike Rentals Unsupervised Machine Learning Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Convolutional Neural Networks Artificial Neural Networks Training Deep Neural Networks Loading and Preprocessing Data with TensorFlow Project - How to Build a Neural Network for Image Classification with TensorFlow Project - Training from Scratch vs Transfer Learning Project - Working with Custom Loss Function What's Next? Project - Image Classification with Pre-trained Keras models End-to-End ML Project - California Housing Introduction to Artificial Intelligence, Machine Learning and Deep Learning References