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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.
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.
A dashboard of California avocado insights.
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.
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.
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.
The project aimed to explore and analyze World Bank Loan Data, leveraging Python for data preprocessing and SQL for in-depth queries
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 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
The Resume Matching App is a simple web application built with Streamlit that allows users to match a job description with a collection of resumes to identify the most suitable candidates for a job opening.
Sleep Disorder Detection App! This app uses a machine learning model to detect potential sleep disorders based on user input features such as age, gender, occupation, sleep duration, and more. It also provides helpful tips and insights based on the predictions.
In the Smartphone Market Analysis project, I embarked on a comprehensive exploration of smartphone sales data to uncover valuable insights into market trends, brand performance, and customer preferences.
This project involves a comprehensive analysis of the IPL 2022 Auction. The goal was to gain insights into the auction dynamics, player characteristics, and spending patterns of different teams.
In this data analysis project, I examined the sales dataset from the SuperStore. The objective was to gain insights into various aspects of the business, using both Python and SQL in a Jupyter notebook, alongside data visualization performed in Tableau.
The "Time Series Analysis of Medical Appointments" project involves a series of data preprocessing, transformation, and analysis tasks performed on a dataset of medical appointment records.
This is a Flask web application that allows users to get recommendations for movies and TV shows based on genres and specific titles
In this project, I conducted an in-depth analysis of work-related fatalities, employing a combination of Python and SQL. The primary aim was to derive valuable insights from the provided dataset. Additionally, I utilized Tableau for data visualization to enhance the presentation of findings.
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.