Lab Overview Machine Learning Process Analytics and Data Sciences The underpinnings of ML Unsupervised Machine Learning Generalized AI and Real Life Large Projects End to End Project - Classification Project - Forecast Bike Rentals 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 Project - Predicting Titanic Passenger Survival using Machine Learning and Python Data Visualization with Matplotlib Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Convolutional Neural Networks Artificial Neural Networks - MCQs Training Deep Neural Networks Project - Credit Card Fraud Detection using Machine Learning 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 - 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 Convolutional Neural Network for NLP Specialization Natural Language Processing 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 End to End Project - Classification (Studio Recorded) Artificial Neural Network Machine Learning Algorithms Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs