SQL JOINS visualizer

Web-based UI library for astronomical data archive access and visualization

A C++ based algorithm for visualizing Binary Search Trees.

Visualization of F2FS on ZNS SSDs

Arduino controlled cascading LED under stair lights & real-time bass visualizer

Storytelling With Matplotlib (SWMat)

Using VMD and NAMD for molecular dynamics simulation of protein PDB files.

A comprehensive academic and practical guide on using Python for Data Science.

Most upvoted solution for Data Science for Good: City of Los Angeles Competition Kaggle.

Business Analytics - Scholarship Program Nanodegree Program

Visualization of parallel timelines in Excel

No description provided.

Numerical simulation of particle deformation in the fluid flow

TCL-TK for VMD.

Student of Batch 68

Draw curves composed of piecewise cubic Bezier curves that across given points.

⌛ searching algorithm visualizer

A repository based on my notes and codes in Python from the book Introduction to Statistical Learning

The loan is a core part of every business today. This system will help the bank identify the royal customer for their bank and bank to contribute more to our GDP.

Matlab code to plot root clouds for parameterized polynomials

Parametric analysis/visualization +continuous-f(x) interpolation

In this project we learn about data visualization project using Python, covering design, challenges, tools, teamwork, and insights from web scraping Quotes to Scrape. #DataVisualization #Python #WebScraping #TeamProject

String Comparison

Explore the investment strategies of Sharks on Shark Tank India with this comprehensive data analysis repository. By examining investment data, we aim to uncover trends, preferences.

This Python based Exploratory Data Analysis (EDA) project, uncover patterns, trends, and valuable insights from sales data during the festive season of Diwali.

No description provided.

Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads. A higher score would mean that the lead is hot, i.e. is most likely to convert whereas a lower score would mean that the lead is cold and will mostly not get converted.

This project analyzes customer purchase data including details such as location, company, credit card usage, browser info, job roles and purchase price. It explores patterns in payment methods, spending behavior and online transactions. Using Pandas, Matplotlib and Seaborn, we clean analyze and visualize key trends to derive actionable insights.

An in-depth analysis of global energy consumption trends from 1965 to 2023, using data from various countries and regions.

To design a dynamic Pharma Inventory Management System in Excel that can track inventory status, forecast restocking needs, and ensure compliance by monitoring expiry timelines.