Linux Basics Apache Spark Basics HDFS - Hadoop Distributed File System Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences Unsupervised Machine Learning 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 Getting Started with Git Project - Noise removal from images Foundations of Python Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project- Iris Flowers Classification using Deep Learning & Keras 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 Artificial Neural Networks - MCQs Training Deep Neural Networks Project - Credit Card Fraud Detection using Machine 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 - Autoencoders for MNIST Fashion Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Open CV Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project- Predicting Noisy Images using KNN Classifier Project- Find the Celebrity who Looks like You using Computer Vision Project - Image Classification with Pre-trained InceptionV3 Network Apache Spark Basics with Python Natural Language Processing Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs Git Version Control (Basic to Advanced) Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Classification (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs