Introduction to ML Reinforcement Learning Hands On with TensorFlow Artificial Neural Network Training Deep Neural Nets Recurrent Neural Networks Autoencoders Dimensionality Reduction Project - Cats classifier Challenges in Machine Learning Project Unsupervised Machine Learning Design & Constructs Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Project - Churn Emails Inbox with Python Artificial Neural Networks - MCQs Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project- Iris Flowers Classification using Deep Learning & Keras Course Overview Doubt Session Recordings End-to-End Project Introduction to ML Classification ML Algorithms Artificial Neural Networks Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Training Deep Neural Networks Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras ML Algorithms - MCQs Custom Models and Training with Tensorflow Convolutional Neural Networks Artificial Neural Networks Training Deep Neural Networks Loading and Preprocessing Data with TensorFlow Recurrent Neural Networks Natural Language Processing Autoencoders and GANs Reinforcement Learning Loading and Preprocessing Data with TensorFlow Convolutional Neural Network Processing Sequences with RNNs and CNNs 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 What's Next? Project - Mask R-CNN with OpenCV for Object Detection Project - How to Deploy an Image Classification Model using Flask Introduction to Artificial Intelligence, Machine Learning and Deep Learning References