Linux Basics Machine Learning With Spark Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Challenges in Machine Learning Project Unsupervised Machine Learning Design & Constructs Project - Predicting Titanic Passenger Survival using Machine Learning and Python Introduction to ML 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 - 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 - 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 Project - How to Deploy an Image Classification Model using Flask Project- Find the Celebrity who Looks like You using Computer Vision Project - Image Classification with Pre-trained InceptionV3 Network 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 End to End Project - Classification (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs Word Embeddings and Sentiment Analysis Using Large Language Models Introduction to Generative AI

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