Course Overview Support Vector Machines Classification Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Unsupervised Machine Learning Unsupervised Machine Learning Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques Project - Deploy Machine Learning models to production Project - Deploy Machine Learning models to production Introduction to ML Support Vector Machines Reinforcement Learning Classification Unsupervised Machine Learning Project - Fashion MNIST Training Models Decision Trees Ensemble Learning and XGBoost Project - End-to-End Project Hands On with TensorFlow Artificial Neural Network Training Deep Neural Nets Recurrent Neural Networks Dimensionality Reduction Project - Cats classifier Python Project - Churn Emails Foundations of Python Project - Noise removal from images Foundations of Python Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Image Stitching using OpenCV and Python (Creating Panorama Project) Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project) 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? Introduction to Artificial Intelligence, Machine Learning and Deep Learning References ML Prerequisites - Matplotlib