dataanalysis
There are 3267 repositories under dataanalysis topic.
Tanu-N-Prabhu/Python
This repository helps you learn Python and Machine Learning from scratch.
mtahiraslan/data-analyst-roadmap
Based on my own experience, I think this roadmap will answer all the questions of how to become a data analyst from zero, which technologies and programming languages are better to know, what kind of soft skills do we need, how do I start my professional career in this field.
prateekiiest/Code-Sleep-Python
Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:
akabe/ocaml-jupyter
An OCaml kernel for Jupyter (IPython) notebook
caioricciuti/duck-ui
Duck-UI is a web-based interface for interacting with DuckDB, a high-performance analytical database system. It features a SQL editor, data import/export, data explorer, query history, theme toggle, and keyboard shortcuts, all running seamlessly in the browser using DuckDB's WebAssembly (WASM) capabilities.
ptyadana/MySQL-Tableau-for-Data-Analytics-and-Business-Intelligence
collection of SQL - Tableau integration projects for Data Analytics and Business Intelligence
Kushal997-das/THE-SPARKS-FOUNDATION
📌 This repo. Contains Basic - Advance level Data science / Machine learning / business analysis Projects. 👨💻
AnshuTrivedi/Data-Scientist-In-Python
This repository contains notes and projects of Data scientist track from dataquest course work.
dsdanielpark/open-llm-leaderboard-report
Weekly visualization report of Open LLM model performance based on 4 metrics.
Shorya22/Data-Analytics-Projects
Explore a collection of end-to-end data analytics projects showcasing SQL, Python, and Power BI. Gain valuable insights and solutions to real-world problems through data extraction, analysis, and visualization. Ideal for beginners and professionals looking to enhance their skills in data analytics.
PhoenixDD/Cheapest-Flights-bot
A bot created on python and selenium, that mines data on cheapest flights using google flights API
GeoDaCenter/rgeoda
R library for spatial data analysis based on libgeoda and GeoDa
soham2707/Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning
This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly
AvishakeAdhikary/Realtime-Sign-Language-Detection-Using-LSTM-Model
Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.
CIS-Team/DataScience-Squad
Data Science Squad Roadmap
sharmaroshan/HR-Analytics
Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.
agoor97/Code-for-my-Courses-Mohammed-Agoor
This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor
akabe/docker-ocaml-jupyter-datascience
Dockerfiles for data science in OCaml on Jupyter
gher-uliege/DIVA
DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
GeorgeHanyMilad/Data-Analysis-and-BI-Resources
Data Analysis and BI Resources 📊
Kavya2099/British-Airways-virtual-internship
Data science virtual internship program by British Airways through Forage!
mpg-age-bioinformatics/flaski
Get your science on a leash!
yahoo/cubed
Data Mart As A Service
Hexastack/eazychart
EazyChart is a reactive chart library 📈, it allows you to easily add SVG charts in your React and Vue web applications.
mhjhamza/thepersonalmsds
The Personal MS(DS) is an initiative to customize the Data Science Masters roadmap according to one's interests hence providing complete autonomy to the learner. The intuition behind #thepersonalmsds is to upgrade skills without formally enrolling into a Master's program at a University
mythsman/Weibo_Data_Analysis
:notebook: Some simple visualization and analysis of weibo user data using graph_tools.
evelinesurbakti/Automated-Keywords-Extraction-of-Data-Analyst-Job-Descriptions-from-Indeed-using-NLP
Scraped job description and leveraged the concepts of Natural Language Processing (NLP) and GloVe Algorithm to extract the keywords through data and performed analysis. Presenting the vital keywords from data analyst job summary from the Indeed website..
lord-shaz/IMDb-Web-Scraping-and-Data-Analysis
This is python based project demonstrate web scrapping and building a console application that provide data analysis to the user.
tushar2704/SQL-Portfolio
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.
unordinaryhobbies/PornhubDatasetAnalysis
Pornhub Data Analysis and Porn Recommendation Algorithm
chiragbiradar/COVID-19-Vaccination-Analysis
The repo contains COVID -19 VACCINATIONS ANALYSIS and time series predection technique to predict completion of vaccination process.
hemansnation/Python-For-Beginners
Course for Python Beginners
AndreaHobby/Epidemiology-Tools-
A list of tools to assist with epidemiology research
Mariyajoseph24/8_Week_SQL_challenge
"#8WeekSQLChallenge : Solutions for a thrilling project that offers weekly SQL case studies! Engaged in real-world data analysis with interactive challenges."
uditmahato/heart-attack-analysis
"Heart Attack Analysis" - A data science project for predicting heart attacks using machine learning on health-related data.
akanshu11121/Diabetes-Detection-using-Neural-Network
Diabetes Mellitus (DM), commonly known as diabetes, is a group of metabolic disorders characterized by high blood sugar levels over a prolonged period. Artificial Intelligence in Medical Science refers to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. Data Science and Machine Learning is helping medical professionals make diagnosis easier by bridging the gap between huge data sets and human knowledge. We can begin to apply Machine L earning techniques for classification in a dataset that describes a population that is under a high risk of the onset of diabetes. Given the medical data we can gather about people, we should be able to make better predictions on how likely a person is to suffer the onset of diabetes, and therefore act appropriately to help. We can start analyzing data and experimenting with algorithms that will help us study the onset of diabetes.