This repository helps you learn Python and Machine Learning from scratch.
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Updated
Oct 27, 2026 - Jupyter Notebook
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
collection of SQL - Tableau integration projects for Data Analytics and Business Intelligence
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 showcases my skills and experience in the field of data analysis. Here, you will find a collection of projects and analyses that demonstrate my ability to extract insights and make data-driven decisions.
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
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.
DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
Dockerfiles for data science in OCaml on Jupyter
👹Data Analysis and 🤖 Analytics combining 🤡 technical skills with 🦊 strategic thinking Ideal 🐳 analysts data scientists 🐲 and business intelligence 🦖 enthusiasts ready to 🐸 turn data into action 🐡 data cleaning exploration 🦜 visualization modeling 🏵 and reporting real world 🌳 case studies business scenarios 🍇 and insight-driven project
Data science virtual internship program by British Airways through Forage!
Data Analysis and BI Resources 📊
EazyChart is a reactive chart library 📈, it allows you to easily add SVG charts in your React and Vue web applications.
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