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  1. -Sentiment-Analysis-with-Text-Classification -Sentiment-Analysis-with-Text-Classification Public

    This project involves performing sentiment analysis on textual data using classical machine learning techniques. The primary goal is to classify text into one of four categories: positive, negative…

    Jupyter Notebook

  2. Kalman-Filter-for-Position-Estimation Kalman-Filter-for-Position-Estimation Public

    A Python implementation of the Kalman Filter for estimating the position of an object moving with constant velocity from noisy measurements. The project demonstrates prediction and correction steps…

    Jupyter Notebook

  3. Machine-Failure-Prediction-App Machine-Failure-Prediction-App Public

    This project is a Streamlit-based web application that leverages machine learning to predict machine failure based on sensor data. It provides an interactive and insightful interface for exploring …

    Jupyter Notebook

  4. Reinforcement-Learning-Q-Learning-Grid-World Reinforcement-Learning-Q-Learning-Grid-World Public

    A reinforcement learning project using Q-learning to train an agent to reach a goal in a grid world while avoiding obstacles, with results visualized through a heatmap and policy arrows.

    Jupyter Notebook

  5. Synthetic-Fraud-Analysis-and-Prediction Synthetic-Fraud-Analysis-and-Prediction Public

    This project tackles the problem of fraud detection using a synthetic dataset, applying various machine learning techniques to identify fraudulent transactions. The goal is to build a robust model …

    Jupyter Notebook

  6. uber-fare-analysis-and-prediction uber-fare-analysis-and-prediction Public

    This project analyzes and predicts Uber ride fares in New York City using historical ride data. It includes a complete machine learning pipeline - from raw data cleaning and feature engineering to …

    Jupyter Notebook