In-depth exploration of essential NumPy functions

My portfolio where I showcase my abilities with Python and popular libraries like Pandas and NumPy, among others.

The project focuses on predicting the presence of heart disease based on various medical variables such as age, sex, and cholesterol level. Decision tree models are employed for this classification task, exploring both basic and hyperparameter-tuned versions.

A few models were developed based on Decision trees and Logistic Regression to categorize fraudulent transactions

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.

Learning related learning

This repository consist sample programs to learn and understand core concepts

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

Project is centered on data analysis and aims to harness the power of Python to derive meaningful insights from data.

Created a Power BI report to identify top 11 players for a T20 cricket team by scraping data from espncricinfo with Python, cleaning and transforming the data with pandas, and evaluating various player performance metrics.

This repository contains a case study for Google's Data Analytics Professional Certificate, focusing on Cyclistic, a fictional bike sharing company in Chicago. The case study aims to drive growth by converting casual riders into members through a marketing strategy.

This repository uses OpenCV, Python and NumPy to create a project that focuses on detecting and prioritizing red and blue houses in aerial images, distinguishing between those that are on fire (brown areas) and those that are safe on grass (green areas). Using OpenCV and Python, the program then assigns rescue priority to different locations .

A normal practice on how numpy are used for working with numerical data in Python.

This repository uses OpenCV, Python and NumPy to create a program that detects arrows from the webcam video input and performs image processing to find and display the angle at which the arrow is with the vertical axis.

Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

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.

Demonstrating how changes in input image resolution affect the algorithm's output

NumPy Practice Repository Dive into the world of numerical computing with our collection of NumPy exercises. Perfect for beginners and seasoned programmers alike, this repository offers a range of challenges to sharpen your array manipulation and data analysis skills.

My approach to the projects required for obtaining the FreeCodeCamp Data Analysis with Python Certification.