Introduction to ML SQL Tutorial Machine Learning Process Analytics and Data Sciences End to End Project - Regression The underpinnings of ML Challenges in Machine Learning Project Project - Forecast Bike Rentals Design & Constructs Machine Learning Prerequisites (Numpy) Project - Deploy Machine Learning models to production Pandas for Machine Learning Introduction to DevOps and it's tools Project - Churn Emails Inbox with Python Git Version Control (Advanced Git Topics) Docker Container Docker Swarm Project - Noise removal from images Foundations of Python Kubernetes Artificial Neural Networks - MCQs Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Data Visualization with Matplotlib Jenkins Monitoring tools - Graffana and Prometheus Docker MCQs Artificial Neural Networks Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN What's Next? Project - Image Classification with Pre-trained Keras models References Project - Image Classification with Pre-trained InceptionV3 Network Deploying Single Container Static App with Docker & Travis CI on AWS Elastic Beanstalk Deploying Single Container Flask app with Docker, Travis CI, AWS RDS & AWS ElastiCache on AWS Elastic Beanstalk Testing Single Container Static App Locally on Minikube Git Version Control (Basic to Advanced) Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Regression (Studio Recorded)