Big Data Introduction Course Overview Lab Overview Introduction to ML Classification Java Essentials Analytics and Data Sciences The underpinnings of ML Challenges in Machine Learning Project Unsupervised Machine Learning Generalized AI and Real Life Large Projects Design & Constructs Pandas for Machine Learning Understanding Computer Vision (Complimentary Lecture) Git Version Control (Advanced Git Topics) Artificial Neural Networks - MCQs Artificial Neural Networks 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 - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection Open CV 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 Git Version Control (Basic to Advanced) Getting Started with Pandas

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