List of Machine Learning Projects and Tutorials

Classical ML and ANN Projects

Supervised

Classification

1. Fraud Detection
2. Customer Churn
3. Sonar-Rock-vs-mine-prediction
4. Diabetes-prediction
5. Customer-Churn-ANN
6. Credit-card-fraud-detection
7. Intrusion-Detection-using-ML-and-DL-Algorithms
8. Anomaly-Detection-in-IoT-Sensors-using-Machine-Learning
9. Intrusion-Detection-using-Machine-Learning
10. Hybrid-machine-learning
11. SMS-spam-detection-using-machine-learning
12. IoT-Sensors-detection

Regression

1. Air-pollution-prediction
2. Hardwork-pays-off
3. Weather-Information-of-Smart-Home

Unsupervised

Clustering

1. Customer-segmentation

Association

Other

1. Random-Forest
2. RFM Analysis

Computer Vision Projects

Deep Learning

Basics

1. Torch Basics
2. oneD Tensors
3. Vectors Operations
4. Weight Initialization
5. Word Embeddings
6. Loss Functions
7. Visualization
8. Temperature in Softmax
9. Neural Network from Scratch
10. Gradient Accumulation

Image Classification

1. CNN_Visualization
2. Softmax as Intermediate Layer
3. Hparam-tuning
4. Intel-Image-Classification
5. X-Ray-Detection
6. Pneumonia-detection
7. Image-classification-using-deep-learning
8. CNN MNIST
9. CNN Viz
10. ResNet
11. Transfer Learning

Image Segmentation

1. Car Semantic Segmentation
2. Demo Semantic Segmentation

Object Detection

1. Face Mask Detection

Image Captioning

Generative AI

1. Neural Style Transfer
2. Variational Auto Encoders

Transformers

Image Classification

1. Image Classification using ViT

Object Detection

1. Table-Detection

Image Segmentation

Image Captioning

Natural Language Processing

NLP using Machine Learning Based Models

1. Restaurant-Review-Prediction

NLP using Deep Learning Based Models

1. RNN

NLP using SpaCy

NLP using Stats Models

Transformers

Tokenization

1. Tokenizer

Encoder-Only Models

1. Extractive QnA with BERT
2. Fill-Mask Encoder Only Model
3. Sentiment Analysis Encoder Only Model
4. Tokenization Positional_Encoding Self Attention
5. Word Embedding
6. Semantic Search
7. Sentiment Analysis using Tensorflow and Transformers
8. Similarity Prediction

Decoder-Only Models

1. Instruction following using GPT
2. Decoder Only Model
3. Falcon Fine Tune
4. Langchain-Tutorial
5. Open Source LLM using StreamLit
6. ChatGPT2
7. Convo Bot GPT2
8. MathGPT2

Encoder-Decoder Models

1. Product Review using T5
2. Encoder-Decoder Model
3. Chatbot

Reinforcement Learning

1. SFT_MathGPT2
2. DPO

Quantization PEFT

1. Litellama
2. Tinyllama
3. Falcon

Other

1. Model Sharding
2. Coding Templates
3. Evaluate LLM
4. Merge LLMs
5. AI Generated Text
6. LLM_chat-base-instruct-models
7. Custom GPT

MLOps

1. Kubeflow-pipeline
2. MLFlow-Tutorials
3. Docker

Time Series and Forecasting

1. Intel-Stock-Prices-Historical-Data
2. Car Sales forecasting using Prophet
3. Electric Production Forecasting using ARIMA and SARIMA

Recommendation System

Other Generative AI Models (Closed Sources)

1. Gemini
2. PaLM
3. AI21 Labs Jurassic Models
4. UI for AI21Labs

Concepts

1. ML
2. PyTorch
3. Transformers
4. HuggingFace
5. LLM
6. Marketing Analytics
7. Google Generative AI Models

Articles/Papers

1. Articles
2. Papers
3. Medium
4. Substack

Mega Projects

1. OSFOSM
2. SynthEmbed
3. The Algorithmic Alchemist
4. SkillSync

IoT

1. Forest Fire Altering System

Datasets

1. HF Datasets
2. Kaggle Datasets

Frameworks and Libraries

Streamlit

1. StreamLit Tutorials

Gradio

1. Gradio Tutorials

Django

1. PulseSync
2. Taskly

Flask

1. X-Ray-Detection

Dash

1. Dash Apps

React

1. Nike
2. React MUI Tutorial

CSS

1. TailwindCSS Tutorial

Benchmarks/Evaluation