Machine Learning Projects & Algorithms

A comprehensive collection of machine learning algorithms and projects, from decision trees to neural networks, implemented from scratch and applied to real-world datasets.

Python TensorFlow PyTorch Scikit-learn Neural Networks Reinforcement Learning

Featured Projects

Conversational AI Pipeline

Advanced multimodal AI system that can see, hear, and understand context through real-time processing of audio, video, and screen content for intelligent conversational interactions.

AI/ML Computer Vision NLP Python OpenAI Whisper MediaPipe GPT-4 Multimodal AI Real-time Processing
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AI Hosting Application

A full-stack platform for generating, managing, and hosting AI-generated content with authentication, dashboard, templates, and billing. See the full project on GitHub: https://github.com/mfg5169/AI-Hosting-Application

Next.js TypeScript Tailwind CSS Drizzle ORM PostgreSQL Clerk AI Content Generation Web App
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Financial Anomaly Detection

Comprehensive AWS-powered financial anomaly detection system with LSTM neural networks, real-time alerts, and LLM integration for stock market analysis.

AWS SageMaker LSTM Machine Learning Python Node PyTorch LLM Integration Serverless Anomaly Detection
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Reinforcement Learning Algorithms

Developed reinforcement learning algorithms to play various games, including slot machines and other interactive environment games.

Reinforcement Learning Q-Learning Game AI
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Sound Recognition

Recognizing sounds using machine learning techniques.

Data Science ML Machine Learning Python
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Review Sentiment Checker

A tool for checking sentiment in reviews using ML.

Data Science ML Machine Learning Python
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Facial Recognition

Facial recognition using YOLOv8 and Python.

Computer Vision Machine Learning Python Yolov8
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Neural Networks on MNIST

Implemented Neural Network models on the MNIST dataset to analyze the effects of batch normalization and compared the performance of MLP vs convolutional networks.

Neural Networks MNIST Batch Normalization
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RNN vs LSTM Sequence Analysis

Ran anaylsis comparing the accuracy of RNNs and LSTMs in identifying sequence addition patterns and analyzing their performance differences.

RNN LSTM Sequence Analysis
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Naive Bayes EM Algorithm

Developed a Naive Bayes Expectation-Maximization algorithm trained on over 100 documents of speeches, from 1964 and after, to predict political party affiliation.

Naive Bayes EM Algorithm NLP
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Decision Tree Algorithm

Developed a machine learning decision tree algorithm to predict if a student will attend an ivy league school.

Decision Trees Classification Education Data
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K-Nearest Neighbors Regression

Developed a k-nearest neighbors regression algorithm to predict if an individual will attend an ivy league school.

KNN Regression Education Data
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Source Code

All project source code is available on GitHub, where I'm continuously working on improvements and new implementations.

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Interested in Collaborating?

If you'd like to learn more about these projects or discuss potential collaborations, I'd love to hear from you!