Hands-on ML Projects
10 industry-grade projects across 6 domains. Click a domain to explore.
Science
10 Projects. 6 Domains.
Click any domain node on the diagram to see the projects you'll build in that area.
The 10 ML Projects You'll Build
Industry-grade, implementation-first projects spanning six core ML & AI domains — built step by step inside the Elite plan.
Deep Learning
Neural Networks & PyTorch from Scratch
Build a perceptron and a multi-layer neural network by hand — implementing forward passes and backpropagation — before rebuilding them efficiently in PyTorch.
Computer Vision
Image Classification with CNN & Transfer Learning
Train a convolutional neural network for image classification, then fine-tune a pre-trained ResNet with transfer learning to get high accuracy on a small dataset.
Real-Time Object Detection with YOLO
Detect and localise multiple objects in images and video in real time using the YOLO architecture and bounding-box regression.
Generative AI
Generative Modeling with VAE & GANs
Generate new images by training a Variational Autoencoder and a Generative Adversarial Network, exploring the latent space behind modern generative AI.
Natural Language Processing
Sentiment Analysis with RNN & LSTM
Classify the sentiment of text using word embeddings and recurrent networks (RNN/LSTM) for sequence modelling.
Transformers & LLMs
Transformers for Text & Vision
Implement the self-attention and multi-head attention that power Transformers, applying them to both text and a Vision Transformer (ViT).
Build Your Own GPT
Code a GPT-style language model from scratch — attention blocks, causal masking and autoregressive text generation.
Reinforcement Learning
RL: Policy & Value Iteration
Solve a Grid World as a Markov Decision Process using the Bellman equations, policy iteration and value iteration.
Q-Learning & Deep Q-Networks
Train an agent with tabular Q-learning, then scale to Deep Q-Networks (DQN) with experience replay on Gymnasium environments.
Game Playing with Policy Gradients
Teach an agent to play games using policy-gradient methods such as REINFORCE and PPO.
Why Projects Matter
GATE DA tests understanding, not memorization. Projects build the intuition you need.
Deep Conceptual Understanding
Implement algorithms from scratch to truly understand the math and logic behind them.
Industry-Ready Skills
Work with PyTorch, Gymnasium, and real datasets — the tools used by ML engineers worldwide.
GATE DA Edge
Projects build the intuition needed to solve tricky GATE DA questions beyond just formulas.
End-to-End ML Pipeline
From data preprocessing to model evaluation — learn the complete ML workflow.
Cover All Domains
Deep Learning, Computer Vision, NLP, Generative AI, and Reinforcement Learning — all in one course.
Portfolio for Placements
Showcase real projects in interviews. Stand out with hands-on experience beyond just theory.
Get Hands-on with ML Projects
These projects are exclusive to Elite plan students. Upgrade to Elite and build real ML systems.