Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction SQL Tutorial Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Project - Forecast Bike Rentals Spark Project - Log Parsing Project - Churn Emails Inbox with Python Foundations of Python Project - Building Spam Classifier 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 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 Open CV Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Natural Language Processing Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs 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 - Regression (Studio Recorded) End to End Project - Classification (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs