Linux Basics Big Data Introduction HBase Sqoop Flume Oozie 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 Spark Streaming Spark On Cluster Adv Spark Programming Support Vector Machines Loading and Saving Data Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction SQL Tutorial Machine Learning Prerequisites (Numpy) Big Data Introduction NoSQL HBase Sqoop Flume Oozie DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics HDFS Spark Streaming Spark On Cluster Adv Spark Programming Loading and Saving Data Spark Project - Log Parsing Graph Processing With Spark Project - Churn Emails Inbox with Python Git Version Control (Advanced Git Topics) Getting Started with Git Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN 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 - 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 - 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 Natural Language Processing Course Overview Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs Session Recordings - Machine Learning and AI Git Version Control (Basic to Advanced) Getting Started with Numpy ML Prerequisites - Matplotlib End to End Project - Classification (Studio Recorded)