This repository helps you learn Python and Machine Learning from scratch.

Based on my own experience, I believe this roadmap provides clear answers to all the key questions about becoming a data analyst from scratch, including which technologies and programming languages to learn, what soft skills are essential, and how to start a professional career in this field.

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python 🐍

An OCaml kernel for Jupyter (IPython) notebook

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.

collection of SQL - Tableau integration projects for Data Analytics and Business Intelligence

📌 This repo. Contains Basic - Advance level Data science / Machine learning / business analysis 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.

This repository contains notes and projects of Data scientist track from dataquest course work.

Weekly visualization report of Open LLM model performance based on 4 metrics.

A bot created on python and selenium, that mines data on cheapest flights using google flights API

R library for spatial data analysis based on libgeoda and GeoDa

This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly

Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

Data Science Squad Roadmap

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.

This Repository collects all my code materials for all my courses ........................ by/ Mohammed Agoor

Dockerfiles for data science in OCaml on Jupyter

DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.

Data Analysis and BI Resources 📊