Lab Overview Training Models Dimensionality Reduction SQL Tutorial Introduction to AI and Machine Learning Analytics and Data Sciences Challenges in Machine Learning Project Unsupervised Machine Learning Design & Constructs Project - Churn Emails Inbox with Python Foundations of Python Project- Iris Flowers Classification using Deep Learning & Keras Introduction to ML Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Convolutional Neural Networks 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 Reinforcement Learning - MCQs Project - Credit Card Fraud Detection using Machine Learning Project - Training from Scratch vs Transfer Learning Project - Autoencoders for MNIST Fashion Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Natural Language Processing Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs End-to-End Machine Learning Project Git Version Control (Basic to Advanced) Getting Started with Pandas ML Prerequisites - Matplotlib Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs Course Overview