data-
There are 17 repositories under data- topic.
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
K1rsN7/SportScanAI
🏅 AI-спорттех — SportTechCup 2024
deepzsenu/DSAJava
This repositry contains the Dsa Problems and implementations
TheNaveenGuptaa/360Days-Data-Science-Rush
In this github repository , I will be posting daily under my 360 days challenge of Data Science . I will also be posting daily on LinkedIn on data science under this challenge . we will start here from basic python and will try to cover each and every step of Data science to master it
leanguardia/gender-pay-gap-uk
Data Analysis of UK companies gender pay gap reports.
calvinx16/voting-methods
A comparison of voting methods common in social choice theory and the effects they have on the outcomes of the Eurovision Song Contest.
gulnaaz-data-analyst/Namma-Yatri-Trips-Analysis
Namma Yatri is dedicated to providing an efficient and reliable transport service across various Indian cities. By utilizing this dashboard, stakeholders can ensure that the service is continuously optimized to meet user expectations and operational goals.
Utsav0702/CCFD
Credit card fraud detection-prediction model
arezaprast/vix-rakamin-kimia-farma
Virtual Internship Experince Rakamin x Kimia Farma - Big Data Analytics
nia-cloud-official/influx-agents
Influx-CRD is a web application designed to facilitate data collection, recovery, and distribution for agents uploading data to a centralized database. It provides an intuitive interface for managing data collection from various sources, recovering lost or corrupted data.
Qia-Qia/Farmburg-Project
Data Science project
yadavkumarpankaj/IBM-data-analyst-professional
Capstone projects of the IBM Data Analyst Professional
anandvai/AI_Carrier_Scope_Analysis
AI CareerScope is a comprehensive data analysis project aimed at exploring the current and future scope of careers in the field of Artificial Intelligence and related domains.
muzi55/React_Sass_ButtonStyling
리액트 사스(scss) 버튼만들기 실습 예제입니다
Urbanekda/Coffee-Quality-Analysis
Data cleaning, visualization and analysis of a coffee quality dataset. We explore larger trends, analyze taste scores and ultimately figure out which beans you should go for in a coffee roastery.