Collection of various algorithms implemented in R.
Collection of personal SQL projects and queries I've worked on, showcasing my skills and expertise in database management, data analysis, and data manipulation using SQL.
A poor man's version of a pandas DataFrame for dart.
Analyzing the historical cryptocurrency trading dataset, to portrait its dynamic landscape and dig into features of crypt currencies to figure out if any patterns in their price movement.
High performance & light weight alternative to Pandas with ML focused tooling. (Work in progress x100!)
Welcome to my GitHub project repository, where I have meticulously curated a collection of my data-related endeavors. Within these digital pages, you'll find a comprehensive overview of my projects, showcasing my skills and experiences in the realm of data analysis.
In this online program, I completed similar tasks that KPMG Graduates do in the company. I learned what it is like working at one of the world’s best data analytics team, and built skills required to excel as a analytics consultant.
This project involves working with comprehensive football dataset covering the Top 5 leagues in Europe from 2014-2020. I worked on Data Extraction,Data cleaning and manipulation,Data Modelling and Data Loading
Projeto de um painel interativo em Python usando Plotly e Streamlit para visualização e pandas/Numpy para análise de dados de uma loja fictícia chamada “Clothing Store”. Com dados de 3900 clientes, o painel foi desenvolvido para apoiar decisões estratégicas, seguindo etapas de pré-processamento e construção visual com filtros, cartões e 2 páginas.
This repository contain all frequency ask interview questions in data structure and algo.
This project explores underlying factors contributing to farmer suicides in India and facilitating targeted interventions. Using advanced data visualization techniques, this report provides a comprehensive analysis of several factors such as Regional trends and hotspots, causes & correlations etc.
This repository is for newcomers into the data science world. It Summarizes three key areas Data Exploration,Manipulation and Data Cleaning
The Health Tracker App redefines wellness tracking through cutting-edge technology. Powered by Streamlit, Firebase, and the Nutritionix API, it provides seamless user experiences and in-depth health insights. Users can effortlessly monitor food intake, exercise, and sleep patterns, and create their own secured personalized profiles. Track wellness!
This project offers a concise yet comprehensive exploration of over a century’s worth of the prestigious chess event. Covering key players, memorable matches, and various openings, it seeks to provide chess enthusiasts, historians, and casual observers alike with a deeper understanding and appreciation of the world of chess.
Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)
This project is a weather forecasting application that allows users to check the current weather and forecast for any location.
this repository is created to the learning purpose of R programming language
Datacamp Projects
This is a data analysis and time series prediction that was based on labor absent records in Thulhiriye MAS Factory.
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