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Overview

This repository contains a collection of machine learning projects demonstrating various techniques and applications across different domains.

Projects

Customer Service Analysis

  • Techniques: Data analysis, sentiment analysis
  • Tools: Pandas, NumPy, scikit-learn
  • Key Insights: Extracting actionable insights from customer service data

Boat Image Classifier

  • Techniques: Computer Vision, Image Classification
  • Tools: TensorFlow/Keras, CNN
  • Key Insights: Automated image recognition for marine vessels

Facial Recognition CNN

  • Techniques: Deep Learning, Computer Vision
  • Tools: Convolutional Neural Networks, OpenCV
  • Key Insights: Facial detection and recognition using deep learning

Heart Disease Random Forest Classifier

  • Techniques: Predictive Modeling, Classification
  • Tools: Random Forest, scikit-learn
  • Key Insights: Predicting heart disease risk factors

Environment Setup

  • Python 3.8+
  • Jupyter Notebook
  • Requirements: pip install -r requirements.txt

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