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criminal-dbms

The Criminal Database Management System (CDBMS) is a comprehensive project aimed at improving the efficiency of managing criminal records for law enforcement agencies and legal authorities. This system offers a user-friendly interface for adding, searching, updating, and removing criminal information.

data-science-and-its-application-laboratory-21ad62-

Hands-on labs covering data science concepts using Python/R. Modules include setup of IDEs, data visualization, data cleaning, supervised and unsupervised learning, and a mini project on web scraping. Datasets from Kaggle and other sources are utilized for practical learning and model training.

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machine-learning-laboratory-21ail66-

Machine Learning Laboratory (21AIL66) 6th sem 2021 scheme

online_shopping_sentiment_analaysis_flipkart

This project focuses on sentiment analysis of customer reviews on the Flipkart e-commerce platform. Leveraging natural language processing (NLP) and machine learning algorithms, we aim to extract valuable insights into user sentiments, providing a comprehensive understanding of their experiences and preferences.

python-lab

The Python Programming Laboratory course (21CSL46) introduces students to Python fundamentals, data types, flow control, functions, and object-oriented programming. It covers regular expressions, file handling, and working with Excel, PDF, Word, and JSON files. CIE and SEE assessments ensure comprehensive learning and practical application.

python_ebook_free

In an act of generosity, I have uploaded a Python book for free, providing an invaluable resource to aspiring programmers. This gesture aims to empower individuals with knowledge, allowing them to explore the realm of Python programming and its vast applications.

sfk266

titanic_ml_my_first_competition_kaggle

This repository contains my solution for the Titanic Machine Learning competition on Kaggle. It's my first competition, and I explore various machine learning techniques to predict passenger survival. The Jupyter notebook includes data analysis, feature engineering, and model training. Feel free to explore, learn, and contribute!