Linux Basics Big Data Introduction Apache ZooKeeper NoSQL HBase Sqoop Flume Oozie Scala DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics HDFS - Hadoop Distributed File System Course Overview Lab Overview Project - Sentiment Analysis in Hive Apache Spark - Key Value RDD Spark Streaming Spark On Cluster Adv Spark Programming Introduction to ML Support Vector Machines Classification Loading and Saving Data Spark Project - Log Parsing Training Models Decision Trees Ensemble Learning and XGBoost End-to-End Project- Self contained Graph Processing With Spark Dimensionality Reduction Unsupervised Machine Learning 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 - Churn Emails Inbox with Python Foundations of Python Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Hive 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 - 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 Introduction to Artificial Intelligence, Machine Learning and Deep Learning References