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Python Basics, Machine Learning and Deep Learning

We implemented two Centralized approaches- NMPC and Velocity Obstacle Algorithm, along with two DeCentralized approaches- Priority Safe Interval Path Planning (SIPP), and Conflict Based Search (CBS) planning.

Automobile Data Insights: A data analysis project exploring trends in vehicle prices, fuel efficiency, and other key attributes. Uses Python, Pandas, Matplotlib, and Seaborn for data visualization and insights.

Welcome to my project. OpenPyVision is a real time videoMixer based on opencv and pyqt6.

A collection of Python libraries for data analysis and visualization, including NumPy, Pandas, Matplotlib, and Seaborn.

This project was done in association with the Solar-Terrestrial Research Department(CSTR) in the New Jersey Institute of Technology (NJIT) and was purposely crafted to find the phenomenon STEVE.

Numpy ( Numerical Python ) Python Package.

Showing my daily progress in understanding machine learning.

Analyzing the customer dataset and developing a machine learning solution to segment customers into meaningful groups based on their purchasing behavior, demographics, and interaction with past marketing campaigns.

The TARDIS Train Dashboard is a data analysis and visualization tool designed to process, clean, and analyze train delay data. It provides insights into train schedules, delays, and their causes, and offers predictive modeling for future delays.

13 Data Analysis Examples - MovieLens 25M Dataset

The objective of this project is to examine a user's screen usage through Python, with a focus on identifying the applications and websites they utilize and the duration of usage. The project employs a range of libraries including pandas, numpy, plotly.express, and plotly.graph_objects for data processing, visualization, and analysis purposes.

A journey through 100 Days of Python, featuring multiple projects and games. Each day brings new coding challenges and fun, building skills and habits for consistent Python practice!

This repository consist sample programs to learn and understand core concepts

Here I analysed data and made pipeline out of it making model making/training/testing/selecting and hyperparameters selecting more user friendly and visualised, like an application. I have worked for this project ~2 weeks.

A portfolio project that analyzes survey data from 5,000 employees around the world to investigate the impact of work-related factors on mental health and job satisfaction. It examines various variables and identifies trends and correlations. Using SQL, Python, Tableau, and Excel, the project demonstrates data analysis and visualization techniques.

This repository is not just a collection of tutorials and practice exercises, but also a showcase of innovative projects that highlight the incredible potential of NUMPY in various fields.

NumPy (short for Numerical Python) is a powerful Python library used for working with arrays, matrices, and numerical computations.