misbasaba's Projects
VTUStudyMarkAnalysis is a Python project that allows students to input their study marks and performs a comprehensive analysis, including total marks calculation, percentage calculation, grade assignment, visualization of weak and strong scores, and the generation of a detailed marksheet.
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.
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.
This repository contains resources, code, and projects related to the Global Core Tech Internship on Data Science with Python. Explore the world of data science with Python, learn NumPy, Pandas, Matplotlib, and EDA, and work on exciting data science projects. Elevate your skills and knowledge in the field of data analysis and visualization.
Contribute code, meet community members, participate in workshops, and win more SWAG 🚀
About me
This project, conducted in collaboration with Global Core Tech, focuses on analyzing sentiment in Flipkart reviews. Using Python and essential data science libraries like Pandas, Matplotlib, NLTK, and Seaborn, we aim to extract valuable insights into customer sentiments from the reviews.
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.
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!