robinmillford Goto Github PK

followers: 3.0 following: 4.0 repos: 42.0 gists: 0.0

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.

Yamin H's Projects

age-calculator

It's a Age Calculating App based on React

analyzing-banking-trends-customer-transactionns-and-regional-impact

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

analyzing-e-commerce-transactions---data-cleaning-cohort-analysis-and-sql

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.

basic-calculator

It's a Basic Calculator which is totally made on React.js

bike-sales-dashboard-excel

I analyse a real-world dataset about bike sales and display the results on an excel dashboard.

chronocraft-time-sculptor

ChronoCraft: Time Sculptor is a comprehensive web development project that guides users through the creation of a dynamic and visually appealing digital clock using HTML, CSS, and JavaScript

club-event-management-system

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.

color-picker

It's a Color-Picker App . When you Select a Color It's gonna tell which color It is

crystalrisk-a-transparent-view-of-financial-stability

In the "Comprehensive Loan Analysis" project, I utilized SQL queries to thoroughly investigate and gain insights from a dataset containing loan information

customer-retention-forecasting-app

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.

data-professional-survey-power-bi

I worked on a Power BI project called 'Data Professional Survey Breakdown

data-table

It's an App where I am fetching data through a dummy Api

discovering-nasa-astronauts-a-deep-dive-into-space-explorers

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.

environmental-monitoring-and-analysis

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.

flight-delay-and-ticket-price-prediction

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.

hadoop-mapraduce-problems

This repository contains solutions to common mapper and reducer problems in Hadoop using Python

hr-analytics-employee-performance-analysis

HR Analytics: Unveiling Employee Performance - A comprehensive exploration of employee data using SQL and Power BI, uncovering key insights for strategic HR decision-making.

india-s-covid-19-journey-a-case-study-analysis

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.

instagram-user-insights-analyzing-user-behavior

In this project, I delved into the dynamics of a popular photo-sharing website using SQL queries

laptop-price-predictor

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.

llm-based-text-summarizer

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.

loan-prediction-streamlit

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

loanalytics-investigating-financial-trends-with-world-bank-data

The project aimed to explore and analyze World Bank Loan Data, leveraging Python for data preprocessing and SQL for in-depth queries

lung-cancer-insight-a-comprehensive-study

This project aims to analyze a dataset containing information about individuals, including their smoking habits, alcohol consumption, age, and whether or not they have lung cancer

ml-demand-prediction

Machine Learning Model for Order Demand Prediction based on historical Order data - Built for Swiggy Hackathon 2018

netflix-insights-genre-trends-analysis

I conducted an in-depth analysis of the Netflix dataset to gain insights into various aspects of the content available on the platform

nlp-auto-correction-prediction-system-streamlit

This is a Streamlit web application for word correction and suggestions using natural language processing techniques

nlp-based-analyzing-and-processing-text-data

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.

optimizing-treatment-plans-through-data-analysis

The primary focus was on understanding customer health, treatment, and associated charges over multiple years.

playstore-app-insights-uncovering-app-market-trends

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.

robinmillford Goto Github PK

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