Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Unsupervised Machine Learning Design & Constructs Big Data Introduction Project - Churn Emails Inbox with Python Project - Noise removal from images Foundations of Python Introduction to ML Project - Building Cat vs Non-Cat Image Classifier using NumPy and ANN Artificial Neural Networks - MCQs Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Reinforcement Learning Reinforcement Learning - MCQs Project - Credit Card Fraud Detection using Machine Learning Project - How to Build a Neural Network for Image Classification with TensorFlow 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 Open CV Project - Image Classification with Pre-trained InceptionV3 Network Natural Language Processing Classification Artificial Neural Networks Processing Sequences with RNNs and CNNs Autoencoders and GANs End-to-End Machine Learning Project Git Version Control (Basic to Advanced) Getting Started with Pandas End to End Project - Regression (Studio Recorded) End to End Project - Classification (Studio Recorded) Training Models MCQs Support Vector Machines MCQs Decision Trees MCQs Ensemble Learning and XGBoost MCQs Course Overview

deepi linux