Big Data Introduction Pig & Pig Latin NoSQL HBase Sqoop Flume Oozie Yarn MapReduce Basics HDFS - Hadoop Distributed File System Course Overview Lab Overview Project - Sentiment Analysis in Hive Introduction to ML Support Vector Machines Classification Training Models Decision Trees Ensemble Learning and XGBoost End-to-End Project- Self contained Dimensionality Reduction Project - Forecast Bike Rentals Unsupervised Machine Learning Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Project - Hive - Visualization with Tableau Project - Hive - NYSE Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and 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 Loading and Preprocessing Data with TensorFlow Recurrent Neural Networks Natural Language Processing Autoencoders and GANs Reinforcement Learning Project - Introduction to Neural Style Transfer using Deep Learning & TensorFlow 2 (Art Generation Project) 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 What's Next? 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 Introduction to Artificial Intelligence, Machine Learning and Deep Learning References