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 we provide the advanced AI ML projects , enroll now 


complete source code 

with front end and back end files.

with documentation and DFD, sequence diagram,class diagram, ER diagram.


labeled datasets , csv file

with edit and add new code facilities.

Data science projects

Beginner Projects

  1. Exploratory Data Analysis (EDA) on a Dataset – Use Pandas, Matplotlib, and Seaborn to analyze and visualize datasets like Titanic, Iris, or COVID-19 trends.
  2. Movie Recommendation System – Build a simple content-based or collaborative filtering recommendation engine using Python and Scikit-learn.

Intermediate Projects

  1. Customer Segmentation using K-Means Clustering – Group customers based on purchasing behavior from an e-commerce dataset.
  2. Handwritten Digit Recognition – Use Convolutional Neural Networks (CNNs) on the MNIST dataset.

Spam Email Classifier – Train a Naïve Bayes classifier to differentiate between spam and non-spam emails.

Sentiment Analysis on Tweets – Use Natural Language Processing (NLP) with NLTK or SpaCy to analyze sentiments in tweets.

Stock Price Prediction – Use historical stock market data and apply Linear Regression or Time Series models like ARIMA.

Fake News Detection – Use TF-IDF and a classification model (Logistic Regression, SVM) to detect fake news.

Churn Prediction for Telecom Customers – Predict whether a customer will leave a telecom service using classification models.

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python project for college students 

hospital management system

AI in agriculture

banking system

student management system



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