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)

GitHub

https://github.com/tanishqgautam/ML-from-Scratch