Linux Basics Introduction to ML Support Vector Machines Classification Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Machine Learning Process 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 Convolutional Neural Networks Artificial Neural Networks Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Recurrent Neural Networks 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 - Mask R-CNN with OpenCV for Object Detection End-to-End ML Project - California Housing Introduction to Artificial Intelligence, Machine Learning and Deep Learning Convolutional Neural Network for NLP Specialization Introduction to ML Classification Processing Sequences with RNNs and CNNs Autoencoders and GANs End-to-End Machine Learning Project Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib Artificial Neural Network Machine Learning Algorithms Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs