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#

data-scientist

Here are 122 public repositories matching this topic...

Curated Data Science resources (Free & Paid) to help aspiring and experienced data scientists learn, grow, and advance their careers.

  • UpdatedMar 9, 2025
hackertab.dev

A Chrome 🌐 & Firefox 🦊 extension to discover the latest developer news and tools in one tab!

  • UpdatedMar 24, 2025
  • TypeScript
Data-ScienceRoadmap-Docs

Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.

  • UpdatedMar 23, 2025
Data-Science-Resources

Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

  • UpdatedOct 20, 2023
  • Jupyter Notebook
olliePy

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

  • UpdatedDec 10, 2023
  • Python

This is about learning data scientist with Python 2019 and some new updated courses in DataCamp. All the answers given written by myself

  • UpdatedJul 1, 2020
  • Python

This repository contains a collection of SQL scripts demonstrating various analytical techniques, such as changes over time, cumulative, performance, data segmentation, part-to-whole analysis.

  • UpdatedMar 23, 2025
  • TSQL

This is about learning data scientist with R 2019 courses in DataCamp. All the answers given written by myself Data Scientist with R track

  • UpdatedAug 28, 2019
  • R

Cross platform Agile Data Analytics for .NET

  • UpdatedMar 3, 2025
  • C#

Template for the intro section on my github homepage.

  • UpdatedJun 10, 2024

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real …

  • UpdatedAug 15, 2020
  • Jupyter Notebook

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