theidari

statusrepo

Use GitHub Actions to produce visual representations of user and repository statistics on GitHub.

stock_analysis

VBA Challenge - UofT Data Analytics BootCamp

tableau_trove

list of tableau projects

wine_quality

Wine Quality Predictor / The repository is undergoing a cleaning process.

alphabet_soup

This project aims to help Alphabet Soup, a non-profit organization, predict the likelihood of success for funding applicants using a binary classifier developed with a dataset containing information on over 34,000 previously funded organizations.

belly_button_biodiversity

Explore Belly Button Biodiversity with an interactive dashboard. Study catalogs navel colonizing microbes, including dominant species found in over 70% of individuals.

citibike

credit_risk_classification

This project develops a machine learning-based credit risk classification model that assists lenders in making well-informed decisions and efficiently managing their portfolios.

Crowdfunding_ETL

This repository contains an ETL project for crowdfunding data, utilizing Python and SQL technologies. The data is extracted and transformed with Pandas and Python, and loaded into a PostgreSQL database using pgAdmin, providing clean and organized data for analysis.

crypto_clustering

This repository applies financial Python programming and unsupervised learning algorithms to categorize cryptocurrencies based on their performance over different timeframes. The project uses K-Means clustering and Principal Component Analysis (PCA) to group similar cryptocurrencies and identify patterns in their performance.

earthquake_visualization

eatsafe_love

Evaluated food hygiene rating data using MongoDB, PyMongo, and Pandas for the UK food magazine, Eat Safe, Love.

himr_of_airpollution

This study analyzes air quality data from different countries to assess the impact of pollutants on mortality rates and disease burden. Using visualizations, we present the spatial distribution of pollutants and quantify their impact on human health. Our findings will inform policies and Actions to mitigate the harmful effects of air pollution.

home_sales

Assessment of Home Sales Using Spark SQL, caching, and partitioning to optimize the efficiency of queries from an AWS housed dataset in the cloud.

marsjo

This repository contains the source code for web scraping NASA's Mars news website to collect the latest news and updates about the planet. Additionally, it performs a thorough analysis of Mars weather data using web scraping techniques, providing in-depth insights and trend analysis.

ml_buff

Netflix_Through_the_Pandemic

This study delves into the impact of COVID-19 on Netflix's stock performance from 2019 to 2022 by analyzing various key indicators. The indicators used in the analysis include the daily number of cases and deaths, data drift, and traditional stock market metrics.

pymaceuticals

Data Visualization - U of T Data Analytics Boot Camp

python-challenge

This repository contains a Python project that analyzes the financial performance of a Colorado-based dried tea production company and the election results in Colorado to identify the winner with a strong commitment to small businesses. The code, documentation, and files are stored for easy access and collaboration.

surfsup

This repository presents a project aimed at analyzing and exploring the climate data of Honolulu to assist individuals in their trip planning. The project features two main components: the analysis and exploration of climate data, and the design of a climate application that provides valuable insights and information for trip planning purposes.

theidari

Config files for my GitHub profile.

theidari.github.io

Portfolio

weather_prediction_API

Travel companies can use this repository to target audience in bad weather through weather-targeted display or social campaigns. Offering flights, hotels, and resorts with aspirational creative highlighting sunny destinations increases the effectiveness of the strategy.

customer_churn

fraud_anomaly_detection

This GitHub repository provides a comprehensive set of tools and algorithms for detecting fraud anomalies in various data sources. Fraudulent activities can have severe consequences, impacting businesses and individuals alike. With this repository, we aim to empower researchers with effective techniques to identify and prevent fraudulent behavior.

gcp-essentials

Example gcloud statements and service info for GCP services. Sample code for GCP services and ML courses on LinkedIn Learning

pewlett_hackard

This project involves utilizing SQL to conduct data modeling, engineering, and analysis on historical employee records.

project-based-learning

Curated list of project-based tutorials

schools_performance

Pandas Challenge - UofT Data Analytics BootCamp