Bifalgorithm post

Top 6 Data Science projects on GitHub for you to bookmark right now. First is email fraud detection. This is a classification problem where you explore the emails of end-run corporation data set to detect fraudulent behavior. Second, house price prediction. This is a regression problem where you predict prices of houses based on several factors like zones, areas, build type, etc. Third, sentiment analysis. Here you classify specific emotions and opinions by analyzing Twitter data and help make business decisions. Fourth, medical diagnosis with deep learning. This is a capstone project where you use chess text-based to diagnose over 14 kinds of pathologies using deep learning. Fifth is Netflix movie recommendation. The idea here is to analyze data from Netflix and use it to build a movie recommendation system. And the final project is music genre classification, where you classify genres of music from almost a millions of songs using machine learning. Find the links in the description.

Top 6 Data Science projects on GitHub for you to bookmark right now. First is email fraud detection. This is a classification problem where you explore the ema…

Ideas in this flowchart

  • Top 6 Data Science Projects on GitHub
  • Email Fraud Detection
  • House Price Prediction
  • Sentiment Analysis
  • Medical Diagnosis with Deep Learning
  • Netflix Movie Recommendation
  • Music Genre Classification
  • Classification Problem
  • Regression Problem
  • Capstone Project
  • Machine Learning
  • Fraudulent Behavior Detection
  • Predict House Prices
  • Analyze Twitter Data
  • Diagnose Pathologies
  • Build Recommendation System
  • Classify Music Genres
  • End-Run Corporation Dataset
  • Factors: Zones, Areas, Build Type
  • Emotions and Opinions
  • Chess Text-Based
  • Netflix Data
  • Million Songs
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Top 6 Data Science projects on GitHub for you to bookmark right now. First is email fraud detection. This is a classification problem where you explore the emails of end-run corporation data set to detect fraudulent behavior. Second, house price prediction. This is a regression problem where you predict prices of houses based on several factors like zones, areas, build type, etc. Third, sentiment analysis. Here you classify specific emotions and opinions by analyzing Twitter data and help make business decisions. Fourth, medical diagnosis with deep learning. This is a capstone project where you use chess text-based to diagnose over 14 kinds of pathologies using deep learning. Fifth is Netflix movie recommendation. The idea here is to analyze data from Netflix and use it to build a movie recommendation system. And the final project is music genre classification, where you classify genres of music from almost a millions of songs using machine learning. Find the links in the description.

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Maxime Fortin
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"First is email fraud detection."

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