Big Data Introduction NoSQL HBase Sqoop Flume Machine Learning With Spark Yarn MapReduce Basics Hive - Project Spark On Cluster Java Essentials Spark Project - Log Parsing Graph Processing With Spark NumPy for Machine Learning Project - Deploy Machine Learning models to production Introduction to ML Support Vector Machines Pandas for Machine Learning Reinforcement Learning Classification Project - Bike Rental Forecasting - Basic Training Models Decision Trees Ensemble Learning and XGBoost Hands On with TensorFlow Artificial Neural Network Training Deep Neural Nets Recurrent Neural Networks Autoencoders Dimensionality Reduction Python Project - Churn Emails Foundations of Python Project - Noise removal from images Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project) What's Next? Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project - Image Classification with Pre-trained InceptionV3 Network Big Data Introduction NoSQL HBase Sqoop Flume Machine Learning With Spark Yarn MapReduce Basics Course Overview Lab Overview Project - Sentiment Analysis in Hive Spark On Cluster Introduction to ML Support Vector Machines Classification Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction Project - Forecast Bike Rentals Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Project - Churn Emails Inbox with Python Foundations of Python Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Convolutional Neural Networks Artificial Neural Networks Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Recurrent Neural Networks Natural Language Processing Autoencoders and GANs Reinforcement 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 - Mask R-CNN with OpenCV for Object Detection Introduction to Artificial Intelligence, Machine Learning and Deep Learning References