Analytics and Data Sciences The underpinnings of ML Challenges in Machine Learning Project Design & Constructs Machine Learning Prerequisites (Numpy) Pandas for Machine Learning Project - Churn Emails Inbox with Python Getting Started with Git Foundations of Python Artificial Neural Networks - MCQs Data Visualization with Matplotlib Artificial Neural Networks Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras ML Algorithms - 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 - Working with Custom Loss Function Project - How to Build a Sentiment Classifier using Python and IMDB Reviews 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 Project - How to Deploy an Image Classification Model using Flask 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