Linux Basics Lab Overview Support Vector Machines Training Models Decision Trees Dimensionality Reduction Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Unsupervised Machine Learning Project - Forecast Bike Rentals Design & Constructs Project - Noise removal from images Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Introduction to ML Convolutional Neural Networks Natural Language Processing - MCQs Reinforcement Learning - MCQs 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 Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Open CV Natural Language Processing Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs Git Version Control (Basic to Advanced) Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Classification (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs Course Overview