Linux Basics Apache Spark Basics Machine Learning With Spark Introduction to ML Support Vector Machines Reinforcement Learning Classification Training Models Decision Trees Ensemble Learning and XGBoost Artificial Neural Network Training Deep Neural Nets Convolutional Neural Nets Dimensionality Reduction Project - Classify Clothes SQL Tutorial Machine Learning Process Analytics and Data Sciences The underpinnings of ML Challenges in Machine Learning Project Unsupervised Machine Learning End to End Project - Classification Project - Forecast Bike Rentals Unsupervised Machine Learning 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) Getting Started with Git Docker Container Project - Noise removal from images Foundations of Python Artificial Neural Networks - MCQs Project - Building Spam Classifier Project - Predicting Titanic Passenger Survival using Machine Learning and Python Data Visualization with Matplotlib Artificial Neural Networks Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Project - Introduction to Transfer Learning (Cat vs Non-cats Project) Image Stitching using OpenCV and Python (Creating Panorama Project) 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 Natural Language Processing 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 - Working with Custom Loss Function What's Next? Project - Image Classification with Pre-trained Keras models Project - Mask R-CNN with OpenCV for Object Detection Open CV Project - How to Deploy an Image Classification Model using Flask Introduction to Artificial Intelligence, Machine Learning and Deep Learning References Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Convolutional Neural Network for NLP Specialization Git Version Control (Basic to Advanced) Getting Started with Numpy Getting Started with Pandas ML Prerequisites - Matplotlib End to End Project - Regression (Studio Recorded) End to End Project - Classification (Studio Recorded) Introduction to AI and OpenVINO™ Toolkit Setting up the environment for AI application development with OpenVINO™ Toolkit Expedite development of high-performance deep learning inference applications with Open Model Zoo Optimization and Quantization of Models for better performance Inference Engine & integration with Deep Learning applications Streamline AI Application Development with Deep Learning Workbench