Linux Basics Lab Overview Support Vector Machines Training Models Decision Trees Ensemble Learning and XGBoost Dimensionality Reduction SQL Tutorial Introduction to AI and Machine Learning Machine Learning Process Analytics and Data Sciences The underpinnings of ML Project - Forecast Bike Rentals Design & Constructs Project - Predicting Titanic Passenger Survival using Machine Learning and Python Project- Iris Flowers Classification using Deep Learning & Keras 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) Project - Stock Closing Price Prediction using Deep Learning, TensorFlow2 & Keras Convolutional Neural Networks Artificial Neural Networks - MCQs Training Deep Neural Networks Custom Models and Training with TensorFlow Loading and Preprocessing Data with TensorFlow Natural Language Processing - MCQs Project - Credit Card Fraud Detection using Machine Learning 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 Project - How to Build a Sentiment Classifier using Python and IMDB Reviews Project - Autoencoders for MNIST Fashion 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- How to Host an Image Classification App on Heroku Project - Building a CNN Classifier using TensorFlow 2 for MNIST Fashion Dataset Project- Find the Celebrity who Looks like You using Computer Vision Project - Image Classification with Pre-trained InceptionV3 Network Project- How to build low-latency deep-learning-based flask app 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 Numpy Getting Started with Pandas ML Prerequisites - Matplotlib 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