Introduction to ML Support Vector Machines Classification Training Models Decision Trees End-to-End Project- Self contained Dimensionality Reduction Unsupervised Machine Learning Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Project - Deploy Machine Learning models to production Introduction to ML Support Vector Machines Reinforcement Learning Classification Unsupervised Machine Learning Training Models Decision Trees Project - End-to-End Project Hands On with TensorFlow Artificial Neural Network Training Deep Neural Nets Recurrent Neural Networks Autoencoders Dimensionality Reduction Project - Cats classifier Python Project - Churn Emails Project - Churn Emails Inbox with Python Foundations of Python Project - Noise removal from images Project - Predict the hourly rain gauge total Foundations of Python Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras 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 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 What's Next? Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection Introduction to Artificial Intelligence, Machine Learning and Deep Learning References Project - Image Classification with Pre-trained InceptionV3 Network

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