Big Data Introduction NoSQL Sqoop Flume DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics Course Overview Lab Overview Project - Sentiment Analysis in Hive Spark Streaming Spark On Cluster Introduction to ML Support Vector Machines Classification Loading and Saving Data Training Models Decision Trees Ensemble Learning and XGBoost End-to-End Project- Self contained Graph Processing With Spark Dimensionality Reduction Project - Forecast Bike Rentals Unsupervised Machine Learning Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Big Data Introduction NoSQL Sqoop Flume DataFrames, Spark SQL, R Machine Learning With Spark Yarn MapReduce Basics Hive - Project Spark Streaming Spark On Cluster Loading and Saving Data 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 Classification Project - Bike Rental Forecasting - Basic Unsupervised Machine Learning Project - Fashion MNIST Training Models Decision Trees Ensemble Learning and XGBoost Project - End-to-End Project Hands On with TensorFlow Artificial Neural Network Dimensionality Reduction Python Project - Churn Emails Foundations of Python Project - Noise removal from images Foundations of Python Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Artificial Neural Networks Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow What's Next? Project - Mask R-CNN with OpenCV for Object Detection Introduction to Artificial Intelligence, Machine Learning and Deep Learning References Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project - Image Classification with Pre-trained InceptionV3 Network

Ml