Explore something new

Python Basics, Machine Learning and Deep Learning

This GitHub repository contains Python implementations of the top machine learning algorithms from scratch using only the Python programming language and the NumPy library. The goal of this repository is to help beginners and aspiring data scientists understand the inner workings of these algorithms by providing transparent and readable code.

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.

small pieces of Python code

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

A structured collection of Jupyter notebooks exploring NumPy from the ground up; covering array creation, manipulation, broadcasting, indexing, and data visualization for scientific computing and data analysis.

Healthcare Data Analysis Project using Python & Power BI. I've extracted impactful insights on Patents & Exclusivities granted by the US FDA to drug products.

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.

Retail AI Insights: Customer Intelligence with Hybrid ML

Análisis exploratorio ligero de las ventas de cuatro tiendas Alura Store en Latinoamérica, empleando Python y pandas para obtener insights rápidos de facturación, categorías y logística.

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.