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amazon_data_visualizations

Embark on an engaging project that seamlessly combines the tech-driven realms of web scraping, ETL , and insightful EDA. Dive into the Apple ecosystem as you leverage these techniques to uncover hidden gems, transform raw data into meaningful insights, and create an immersive experience at the intersection of data exploration.

belly_button_biodiversity

Belly Button Biodiversity Dashboard is an open-source interactive dashboard that visualizes the Belly Button Biodiversity dataset. Built with JavaScript, D3.js, Plotly.js, HTML, and CSS, the dashboard features a dropdown menu, horizontal bar chart, bubble chart, demographic information display, and optional gauge chart.

charity_funding_predictor

Predicting the success of funding applicants for a charitable organization using machine learning and predictive modeling. The project involves creating a binary classification model using deep learning techniques.

citi_bike_data_visualizations_analysis

New York CitiBikes is an open-source project where interactive visualizations and maps will be implemented to show insights from the Citi bike data. Here the meaningful insights from the data revealed using Tableau public.

climate_data_exploration__analysis

Climate analysis and data exploration of a climate database. This analysis aims to provide insights into the climate patterns of Honolulu and inform decisions regarding the best time to visit and what activities to plan.

credit_risk_classification

About Credit risk poses a classification problem that’s inherently imbalanced. Using a dataset of historical lending activity from a peer-to-peer lending services company, build a model that can identify the creditworthiness of borrowers.

crowd-funding-analysis_excel

The Crowdfunding-Analysis with Excel project analyzes 1,000 crowdfunding projects and concludes that the US, theater, film and video, and music industries have the most campaigns, with a success rate of 50-60%. The dataset lacks some key data points such as gender and age of backers and distribution of campaigns across different US states.

crowdfunding_etl

Builded an ETL pipeline using Python, Pandas, Python dictionary methods and regular expressions to ETL data. It involves extracting data from multiple sources, cleaning and transforming the data using Jupyter Notebook with pandas, numpy, and datetime packages, and loading the cleaned data into a relational database using pgAdmin

cryptoclustering

Cryptocurrency clustering is the process of categorizing cryptocurrencies into groups based on shared characteristics or features, aiming to reveal patterns and similarities within the cryptocurrency market.

datascience-jalees

Jalees Initial Style Personal Site

dice-game

My Dice Game Files

employees_database_analysis

The SQL project involved designing tables to hold data from six CSV files, creating a table schema for each file, importing the data into SQL tables, and performing data analysis. The analysis involved answering various questions about the data, such as listing employee information.

home_sales

This project demonstrated the usage of SparkSQL to read, query, cache, and analyze home sales data, providing insights into average prices based on various criteria.

house_price_forecaster

Forecasting house prices using machine learning and deep learning techniques for accurate predictions. This project involves creating a regression model to forecast house prices based on various features.

jaleesmoeen

lga_schools_summary-analysis

City School Analysis

newsletter-signup

pybank_pypoll_analysis

Python Scripts for PyBank & PyPoll

rockstar-drum-kit

Rockstar Drum Kit

simon-game

squamous_cell_carcinoma_-scc-_treatment_analysis

The study involved treating 249 mice with SCC tumors using a range of drug regimens, including Pymaceuticals' drug of interest, Capomulin. Over 45 days, tumor development was observed and measured to compare the performance of Capomulin against other treatments .My task was to generate tables and figures for the technical report of the study

stock_market_data_analysis_vba

VBA_Scripting_Multiyear_Stock_Data

strokescope_eda

Our analysis delves into a comprehensive examination of stroke data to better understand its risk factors and implications for healthcare. Stroke data analysis serves as a valuable tool for identifying potential risk factors, developing preventive strategies, and enhancing patient care.

tindog

uk-food-hygiene-ratings-analysis-using-mongodb

The goal is to help the editors of a food magazine, Eat Safe, Love, to evaluate the data and assist their journalists and food critics in deciding where to focus future articles. The project aims to provide insights into the ratings data to identify establishments that meet the magazine's criteria for featuring in their articles.

usgs_earthquake_visualizations

USGS Earthquake Visualization is an open-source project that provides an interactive map to visualize earthquake data collected by the USGS, highlighting the relationship between tectonic plates and seismic activity. Built with JavaScript, Leaflet.js, D3.js, HTML, and CSS, the project is available on GitHub under the MIT License.

weather_api_data_analysis

This project involved using Python and an API to investigate weather trends near the equator by collecting and analyzing weather data. The analysis helped to draw conclusions and provide insights into the factors affecting weather trends in this region.

web_scraping_mars_news_and_weather_data_summary

Mission to Mars Web Scraping & Data Analysis with Beautiful Soup. Hey, let's explore the data with web scrapping and analyze the data using Beautiful soup and Pandas Python Data Analysis.