Linux Basics Big Data Introduction Course Overview Lab Overview Introduction to ML Dimensionality Reduction Machine Learning Process Analytics and Data Sciences Machine Learning Prerequisites (Numpy) Pandas for Machine Learning Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Artificial Neural Networks - MCQs Data Visualization with Matplotlib Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Convolutional Neural Networks Artificial Neural Networks Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Recurrent Neural Networks Natural Language Processing 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 - How to Build a Sentiment Classifier using Python and IMDB Reviews 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 Open CV Introduction to Artificial Intelligence, Machine Learning and Deep Learning Convolutional Neural Network for NLP Specialization Project- Exploring Web Scraping: Python Adventures on Wikipedia and Amazon Introduction to ML Classification Processing Sequences with RNNs and CNNs Natural Language Processing Autoencoders and GANs End-to-End Machine Learning Project Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib Artificial Neural Network Machine Learning Algorithms Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs