Top 40 Machine Learning Projects with Code and Documents

Top 40 Machine Learning Projects with Code and Documents

Are you looking for some exciting and innovative machine learning projects to enhance your skills? Look no further! Here’s a curated list of 40 top machine learning projects, complete with source code and documentation, that are highly searched and researched worldwide.

Fake News Detection

• Objective: Build a model to classify news as real or fake.
• Applications: Media, Journalism.
• Tools: Python, Natural Language Processing (NLP).

Rainfall Prediction

• Objective: Predict future rainfall using historical weather data.
• Applications: Agriculture, Weather forecasting.
• Tools: Time Series Analysis, Regression Models.

Face Mask Detection

• Objective: Detect whether a person is wearing a face mask.
• Applications: Public health, Surveillance.
• Tools: Deep Learning, OpenCV.

Stock Price Prediction

• Objective: Predict future stock prices based on historical data.
• Applications: Finance, Investment.
• Tools: Time Series Analysis, Machine Learning.

Malware Detection

• Objective: Identify and classify malicious software.
• Applications: Cybersecurity.
• Tools: Machine Learning, Data Mining.

Intrusion Detection

• Objective: Detect unauthorized access or anomalies in network traffic.
• Applications: Network Security.
• Tools: Machine Learning, Anomaly Detection.

Credit Card Fraud Detection

• Objective: Identify fraudulent credit card transactions.
• Applications: Finance, Banking.
• Tools: Machine Learning, Classification Models.

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AI ChatBot

• Objective: Create a conversational AI that can understand and respond to user queries.
• Applications: Customer Service, Automation.
• Tools: NLP, Deep Learning.

Diabetes Prediction

• Objective: Predict the likelihood of a person having diabetes.
• Applications: Healthcare.
• Tools: Machine Learning, Classification Models.

Disease Prediction

• Objective: Predict various diseases based on symptoms.
• Applications: Healthcare.
• Tools: Machine Learning, Classification Models.

Heart Disease Prediction

• Objective: Predict the risk of heart disease.
• Applications: Healthcare.
• Tools: Machine Learning, Classification Models.

Lung Cancer Detection

• Objective: Detect lung cancer from medical images.
• Applications: Healthcare.
• Tools: Deep Learning, Image Processing.

House Price Prediction

• Objective: Predict the selling price of houses.
• Applications: Real Estate.
• Tools: Regression Models, Machine Learning.

Big Mart Sales Prediction

• Objective: Predict sales of products in a big mart.
• Applications: Retail, Marketing.
• Tools: Regression Models, Time Series Analysis.

Twitter Fake News Detection

• Objective: Identify fake news on Twitter.
• Applications: Social Media, Journalism.
• Tools: NLP, Machine Learning.

Ransomware Prediction

• Objective: Predict and prevent ransomware attacks.
• Applications: Cybersecurity.
• Tools: Machine Learning, Anomaly Detection.

CO2 Emission Prediction

• Objective: Predict CO2 emissions based on various factors.
• Applications: Environmental Science.
• Tools: Regression Models, Machine Learning.

Air Quality Prediction

• Objective: Predict air quality index based on environmental data.
• Applications: Environmental Science.
• Tools: Machine Learning, Time Series Analysis.

Face Detection

• Objective: Detect faces in images and videos.
• Applications: Security, Social Media.
• Tools: Deep Learning, OpenCV.

Brain Tumor Detection

• Objective: Detect brain tumors from MRI images.
• Applications: Healthcare.
• Tools: Deep Learning, Image Processing.

Potato Disease Prediction

• Objective: Identify diseases in potato plants.
• Applications: Agriculture.
• Tools: Machine Learning, Image Processing.

Flower Classification

• Objective: Classify different species of flowers.
• Applications: Botany, Education.
• Tools: Machine Learning, Classification Models.

Live Webcam Attendance System

• Objective: Automate attendance using facial recognition.
• Applications: Education, Corporate.
• Tools: Deep Learning, OpenCV.

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Movie Recommendation System

• Objective: Recommend movies based on user preferences.
• Applications: Entertainment.
• Tools: Collaborative Filtering, Machine Learning.

Car Price Prediction System

• Objective: Predict the selling price of used cars.
• Applications: Automotive, Sales.
• Tools: Regression Models, Machine Learning.

Biased News Prediction System

• Objective: Detect bias in news articles.
• Applications: Media, Journalism.
• Tools: NLP, Machine Learning.

Health Disease Prediction System

• Objective: Predict various health conditions based on symptoms.
• Applications: Healthcare.
• Tools: Machine Learning, Classification Models.

COVID-19 Prediction

• Objective: Predict the spread and impact of COVID-19.
• Applications: Public Health, Epidemiology.
• Tools: Machine Learning, Time Series Analysis.

Ethereum Price Prediction

• Objective: Predict the future price of Ethereum.
• Applications: Finance, Cryptocurrency.
• Tools: Time Series Analysis, Machine Learning.

Breast Cancer Prediction

• Objective: Predict the likelihood of breast cancer.
• Applications: Healthcare.
• Tools: Machine Learning, Classification Models.

Loan Prediction

• Objective: Predict the approval of loan applications.
• Applications: Finance, Banking.
• Tools: Machine Learning, Classification Models.

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Wine Quality Prediction

• Objective: Predict the quality of wine based on various features.
• Applications: Food and Beverage.
• Tools: Machine Learning, Classification Models.

Spam Message Detection

• Objective: Identify spam messages in emails or SMS.
• Applications: Communication, Security.
• Tools: NLP, Machine Learning.

Bitcoin Price Prediction

• Objective: Predict the future price of Bitcoin.
• Applications: Finance, Cryptocurrency.
• Tools: Time Series Analysis, Machine Learning.

Insurance Prediction System

• Objective: Predict the likelihood of insurance claims.
• Applications: Finance, Insurance.
• Tools: Machine Learning, Classification Models.

Phishing Detection System

• Objective: Identify phishing websites and emails.
• Applications: Cybersecurity.
• Tools: Machine Learning, NLP.

Android Malware Detection System

• Objective: Detect malware in Android applications.
• Applications: Mobile Security.
• Tools: Machine Learning, Data Mining.

Gold Price Classification

• Objective: Classify gold price trends.
• Applications: Finance, Investment.
• Tools: Machine Learning, Classification Models.

Crime Prediction System

• Objective: Predict crime occurrences based on historical data.
• Applications: Law Enforcement, Public Safety.
• Tools: Machine Learning, Time Series Analysis.

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Top 40 Machine Learning Projects with Code and Documents for finial Year