Linux Basics Apache ZooKeeper MapReduce Programming Pig & Pig Latin NoSQL Sqoop Flume Oozie Apache Spark Basics Project - Writing Spark Applications DataFrames, Spark SQL, R Yarn MapReduce Basics HDFS - Hadoop Distributed File System Lab Overview Project - Sentiment Analysis in Hive Apache Spark - Key Value RDD Spark Streaming Spark On Cluster Adv Spark Programming Support Vector Machines Loading and Saving Data Java Essentials Training Models Decision Trees Ensemble Learning and XGBoost Graph Processing With Spark Dimensionality Reduction SQL Tutorial Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Challenges in Machine Learning Project Unsupervised Machine Learning Generalized AI and Real Life Large Projects Project - Forecast Bike Rentals Project - Classify Clothes from Fashion MNIST Dataset using Machine Learning Techniques Design & Constructs Big Data Introduction Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Project - Predicting Titanic Passenger Survival using Machine Learning and Python Hive Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN 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 - Credit Card Fraud Detection using Machine Learning 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 - Image Classification with Pre-trained Keras models End-to-End ML Project - California Housing Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project- Predicting Noisy Images using KNN Classifier Apache Spark Basics with Python 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) Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib 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

Data science