Course Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction SQL Tutorial Analytics and Data Sciences The underpinnings of ML Project - Forecast Bike Rentals Design & Constructs Machine Learning Prerequisites (Numpy) Pandas for Machine Learning Project - Churn Emails Inbox with Python Git Version Control (Advanced Git Topics) Getting Started with Git Foundations of Python Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Artificial Neural Networks - MCQs Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Natural Language Processing - MCQs Reinforcement Learning - MCQs 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 Project - How to Build a Sentiment Classifier using Python and IMDB Reviews Project - Autoencoders for MNIST Fashion What's Next? Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Project - How to Deploy an Image Classification Model using Flask Course Overview Classification Artificial Neural Networks Autoencoders and GANs Git Version Control (Basic to Advanced) Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib Lab overview for ML - Getting Started