Introduction to ML Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences Challenges in Machine Learning Project Unsupervised Machine Learning Generalized AI and Real Life Large Projects Design & Constructs Machine Learning Prerequisites (Numpy) Pandas for Machine Learning Understanding Computer Vision (Complimentary Lecture) Project - Churn Emails Inbox with Python Foundations of Python Artificial Neural Networks - MCQs Data Visualization with Matplotlib Artificial Neural Networks ML Algorithms - MCQs Project - How to Build a Neural Network for Image Classification with TensorFlow Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection Introduction to ML End-to-End Project Classification Machine Learning Algorithms Artificial Neural Networks Training Deep Neural Networks Loading and Preprocessing Data with TensorFlow Convolutional Neural Network Processing Sequences with RNNs and CNNs Natural Language Processing Autoencoders and GANs Reinforcement Learning Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib