Linux Basics Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Introduction to AI and Machine Learning Analytics and Data Sciences The underpinnings of ML Unsupervised Machine Learning Project - Forecast Bike Rentals Design & Constructs Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project- Iris Flowers Classification using Deep Learning & Keras 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) Convolutional Neural Networks Artificial Neural Networks - MCQs Training Deep Neural Networks Loading and Preprocessing Data with TensorFlow Natural Language Processing - MCQs Reinforcement Learning Reinforcement Learning - MCQs Project - Credit Card Fraud Detection using Machine Learning Project - How to Build a Neural Network for Image Classification with TensorFlow 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 Open CV Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project- Find the Celebrity who Looks like You using Computer Vision Project - Reinforcement Learning - How to make computer learn to play CartPole game Natural Language Processing Classification 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 Numpy 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