ML from Scratch

MACHINE LEARNING TOPICS COVERED - FROM SCRATCH

• Linear Regression
• Logistic Regression
• K Means Clustering
• K Nearest Neighbours
• Decision Trees
• Naive Bayes
• Support Vector Machine

DEEP LEARNING TOPICS COVERED - FROM SCRATCH

• Neural Networks
• Adam Optimizer

TENSORFLOW/KERAS

• Convolutional Neural Networks in Tensorflow 2.0 (Image Classification)
• LSTM Neural Networks in Tensorflow 2.0 (Sentiment Analysis)
• Autoencoders in Tensorflow 2.0 (Image Denoising)
• VGG-16 in Tensorflow 2.0 (Includes Checkpoint and Early Stopping)
• ResNet-50 in Tensorflow 2.0 (Includes Checkpoint and Early Stopping)