Linux Basics Lab Overview Support Vector Machines 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 Design & Constructs Big Data Introduction Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Project - Building Spam Classifier Project- Iris Flowers Classification using Deep Learning & Keras Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN 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 - 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 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 - How to Deploy an Image Classification Model using Flask 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 Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs

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