This repository contains a collection of machine learning projects implemented in Python.
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Online Payments Fraud Detection
- Description: Detecting fraudulent online payments using machine learning techniques.
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Future Sales Prediction
- Description: Predicting future sales based on historical data using regression models.
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Waiter Tips Analysis & Prediction
- Description: Analyzing waiter tips data and building a predictive model for tip prediction.
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Stock Price Prediction
- Description: Predicting stock prices using time series analysis and machine learning algorithms.
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Stock Price Prediction with LSTM
- Description: Stock price prediction using Long Short-Term Memory (LSTM) neural networks.
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Text Emotions Classification using Python
- Description: Classifying emotions in text data using natural language processing (NLP) techniques.
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Employee Attrition Analysis
- Description: Analyzing factors contributing to employee attrition in a company.
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Article Recommendation System with Machine Learning
- Description: Building a recommendation system for suggesting articles to users.
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Classification with Neural Networks
- Description: Implementing classification tasks using neural networks.
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Stress Detection
- Description: Detecting stress levels using physiological signals and machine learning.
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Electricity Price Prediction
- Description: Predicting electricity prices based on various factors using regression models.
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Language Detection with Machine Learning
- Description: Identifying the language of a given text using machine learning algorithms.
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Topic Modeling
- Description: Analyzing topics present in textual data using topic modeling algorithms.
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Predicting Telco Customer Churn
- Description: Predicting customer churn for a telecommunications company to understand customer retention strategies.