data-science-projects

ALGORITHMS FROM SCRATCH:

• Artificial Neural Networks:
  Implementation of simple Neural Network from scratch.
  • Model
  • Layers
  • Activation Functions
  • Losses
  • Optimizers
• Machine Learning Algorithms:
  Implementation of some of ML algorithms from scratch. Includes KNN, Naive Bayes, Linear Regression and Logistic Regression.
  • ML Algorithms Test
  • K-Nearest Neighbours
  • Naive Bayes
  • Linear Regression
  • Logistic Regression
• Evolutionary Algorithms:
  Implementation of Genetic Algorithm and Evolutionary Strategies from scratch.
  • Genetic Algorithm Test
  • Genetic Algorithm Implementation
  • Evolution Stratiegies Test
  • Evolution Strategies Implementation
• Particle Swarm Optimization:
  Implementation of PSO algorithm from scratch.
  • Particle Swarm Optimization Test
  • Particle Swarm Optimization Implementation

DEEP LEARNING:

• Deep Convolutional Variational Autoencoder:
  Implementation of Deep Convolutional Variational Autoencoder achitecture which was then trained on MNIST dataset. Test file contains comparisons of real images with their reconstructions and visualization of latent space.
  • Test
  • Implementation
  • Model Training on MNIST
• Vision Transformer:
  Implementation of Vision Transformer architecture in Tensorflow.
  • Implementation
• VGG Architecture and Neural Style Transfer
  Implementation of VGG architecture in PyTorch and Neural Style Transfer on pretrained VGG19.
  • VGG Implementation
  • Neural Style Transfer
  • Neural Style Transfer - Network Implementation
• DCGAN
  Implementation of Deep Convolutional Generative Adversarial Network in PyTorch.
  • DCGAN Training Loop
  • DCGAN Architecture

DATA SCIENCE PROJECTS:

• Cat Meow Classification
• Energy Consumption of Electric Vehicle Charging Stations
• IMDB Films By Actors
• Kaggle Survey 2021