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Name: Yamin H
Type: User
Bio: Aspiring Data Scientist with a strong foundation in stats and data viz. Proficient in Python, R, SQL, Viz Tools. Experience in ML, data wrangling, big data.
Name: Yamin H
Type: User
Bio: Aspiring Data Scientist with a strong foundation in stats and data viz. Proficient in Python, R, SQL, Viz Tools. Experience in ML, data wrangling, big data.
It's a Age Calculating App based on React
This Streamlit dashboard provides a comprehensive analysis of supply chain data, focusing on key metrics such as production volumes, stock levels, order quantities, revenue, manufacturing costs, lead times, shipping costs, transportation routes, risk factors, and sustainability factors
In this project, I embarked on a journey to analyze banking trends, customer transactions, and regional impacts on a financial dataset. My goal was to gain valuable insights into customer behavior, regional distribution, and transaction patterns
In this project, I aimed to analyze the profitability of products in an e-commerce dataset. I performed various SQL queries to extract valuable insights about product profitability, including the identification of the top 5 products with the highest profit margin, and unique combinations of brands and product lines with the highest profitability.
It's a Basic Calculator which is totally made on React.js
I analyse a real-world dataset about bike sales and display the results on an excel dashboard.
The Club Event Management System is a web application that allows users to manage and view events organized by various clubs. The system is built using Flask (a Python web framework) and a SQL Server database to store event-related data. The project provides various APIs for retrieving, creating, and updating events, clubs, and user information.
It's a Color-Picker App . When you Select a Color It's gonna tell which color It is
In the "Comprehensive Loan Analysis" project, I utilized SQL queries to thoroughly investigate and gain insights from a dataset containing loan information
The app utilizes a machine learning model trained on customer data to predict the likelihood of a customer leaving the bank based on various features such as credit score, age, account balance, and more.
I worked on a Power BI project called 'Data Professional Survey Breakdown
It's an App where I am fetching data through a dummy Api
I delved into NASA astronauts' profiles, unearthing insights about their military backgrounds, education, and space missions. Through SQL and Tableau, I celebrate their contributions to space exploration, spotlighting pioneers who shaped our cosmos understanding.
In this comprehensive project, I undertook an in-depth exploration of environmental data, seeking to understand the intricate relationship between Liquefied Petroleum Gas (LPG) consumption and Carbon Monoxide (CO) emissions.
This datasets are acquired from Kaggle, and I attempt to analyse flight delay and ticket prices and install machine learning models to forecast the delays and ticket prices.
This repository contains solutions to common mapper and reducer problems in Hadoop using Python
HR Analytics: Unveiling Employee Performance - A comprehensive exploration of employee data using SQL and Power BI, uncovering key insights for strategic HR decision-making.
In this extensive project, I embarked on a profound exploration of India's journey through the COVID-19 pandemic. This endeavor involved a multi-faceted approach, encompassing data preprocessing with Python, data analysis with SQL queries, and data visualization using Power BI.
In this project, I delved into the dynamics of a popular photo-sharing website using SQL queries
The Laptop Price Predictor is a Streamlit web application designed to predict the prices of laptops based on various features. It leverages machine learning models trained on laptop data to provide accurate price estimations for different laptop configurations.
Multilingual Text Summarizer is a web application that summarizes text, PDFs, and images in multiple languages using a T5 transformer model. The application is built with Streamlit, EasyOCR, and Hugging Face Transformers.
This project is a Streamlit web application that predicts whether a loan will be approved or rejected based on various input features provided by the use
The project aimed to explore and analyze World Bank Loan Data, leveraging Python for data preprocessing and SQL for in-depth queries
Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018
I conducted an in-depth analysis of the Netflix dataset to gain insights into various aspects of the content available on the platform
This is a Streamlit web application for word correction and suggestions using natural language processing techniques
The objective of this project was to analyze and process text data from a dataset containing articles obtained from various websites. The goal was to extract valuable information, perform sentiment analysis, and calculate various text metrics to gain insights from the text corpus.
The primary focus was on understanding customer health, treatment, and associated charges over multiple years.
In my Playstore App analysis, I uncovered valuable insights about app market trends. I discovered the top-rated apps, identified popular app categories, and explored user sentiments. My findings provide a comprehensive understanding of the app landscape, aiding in informed decision-making and strategy development for app developers and marketers.
In this project, I conducted an in-depth analysis of a dataset containing personal loan information
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.