Lesson guide and textbook for "Data as a Science" course.

KPMG Data Analytics Consulting Virtual Internship

Contains some of my data science projects, including: machine learning, data manipulation, data processing, data scraping, data visualization, deep learning, data presentation, NLP, etc.

Python app to visualize json data describing the course of a particular football match

I chose a dataset from kaggle and performed an EDA, over 30 insights (visualization) was produced. The key insights is presented in a Jupyter Notebook slide..

📑 SPA application for convenient presentation and work with large arrays of data, sorting, search, editing data

This data contains 113,937 loans with 81 variables on each loan, I have provided 30+ visualizations of a selected few variable features that best explain and give insights to how loans are measured and to what factors that determine a loan interest

using bootstrap, Ajax , jQuery and NobelApi

Collection of personal python projects

🌀 The JS data presentation framework. For a single dataset to a full catalog.

Analysing and presenting movie dataset.

This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.

This repo seeks to Explore The Variables That are Pivotal In Predicting a Borrowers Loan outcome.

PC application to communicate with an Edimax SP2101W smart plug and to collect measured power data from it

Display custom rows in the WinForms Data Grid control.

This repository contains Google Data Analytics Professional Certificate course's capstone project from Coursera.

Visualize many-to-many relationship of Entity Framework objects.

Data Analysis of Sprocektly Central Private Limited

Use the Layout View as a master View in master-detail mode.

Portfolio of projects taken on by working for Hack for LA. As a member of the Data Science Community of Practice Team at Hack for LA, data science and analysis projects are taken on through a lens of community improvement and service. Code and datasets will be organized based on their respective project.