Lab Overview Support Vector Machines Java Essentials Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Unsupervised Machine Learning Generalized AI and Real Life Large Projects Design & Constructs Big Data Introduction Introduction to ML Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Convolutional Neural Networks Artificial Neural Networks - MCQs Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Reinforcement Learning Reinforcement Learning - MCQs Project - Credit Card Fraud Detection using Machine Learning 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 - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Open CV Natural Language Processing Artificial Neural Networks Autoencoders and GANs End-to-End Machine Learning Project Git Version Control (Basic to Advanced) Getting Started with Numpy Getting Started with Pandas End to End Project - Regression (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs Course Overview