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

Intermediate Projects
- Customer Segmentation using K-Means Clustering – Group customers based on purchasing behavior from an e-commerce dataset.
- 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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