NoSQL HBase Sqoop Flume Oozie DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics Lab Overview Spark Streaming Support Vector Machines Loading and Saving Data Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction Introduction to AI and Machine Learning The underpinnings of ML Unsupervised Machine Learning Design & Constructs Introduction to DevOps and it's tools Big Data Introduction Project - Churn Emails Inbox with Python Git Version Control (Advanced Git Topics) Foundations of Python Project - Predicting Titanic Passenger Survival using Machine Learning and Python Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN 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 - 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 End-to-End ML Project - California Housing Open CV 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) 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