data-science machine-learning roadmap ai deep-learning neural-network artificial-intelligence data-analysis study-plan ai-roadmap Updated Dec 31, 2023 JavaScript microsoft / Data-Science-For-Beginners Star 28.5k Code Issues Pull requests Discussions 10 Weeks, 20 Lessons, Data Science for All!
10 Weeks, 20 Lessons, Data Science for All! Contribute to microsoft/Data-Science-For-Beginners development by creating an account on GitHub.
Leveraging GitHub for project documentation and showcasing is another way to get more value from your projects. This is exactly what we will cover in this event. You need Project(s) Before we proceed, Let's start with the foundation, without project, there is nothing to documen...
Data Scientist Training Path Data Science for Beginners – GitHub Repo
Statistics: For data analysis and interpretation. Business Acumen: To translate data insights into actionable business strategies. Computer Science: To manage and manipulate large datasets using programming and advanced computational techniques. The core objective of data science is to extract actionable ins...
She comes from a community of marathon runners 🏃🏃 but decided to run code instead🤓. Skills Python Data Science Projects Gen AI for Beginners AI for Beginners [ML for Beginners] (https://aka.ms/ml-beginners) Data Science for BeginnersEnglish...
She comes from a community of marathon runners 🏃🏃 but decided to run code instead🤓. Skills Python Data Science Projects Gen AI for Beginners AI for Beginners [ML for Beginners] (https://aka.ms/ml-beginners) Data Science for BeginnersEnglish...
Data science projects mostly start with a business question or problem. A problem triggers an initiation phase, in which a set of possible solutions is defined, and initial feasibility is assessed. Initial data collection or an exploratory data analysis of available data is done to see what is...
This approach to coding makes the code more readable and the analysis more like a writeup that you and others can follow the logic of. IDEs and notebook platforms are both great tools for data scientists to quickly write code and analysis for data projects. There are a lot of great ...
Use GitHub to manage data science projects Perform regression analysis, least squares and inference using regression models Balance both the theory and practice of applied mathematics to analyze and handle large-scale data sets Create models using formal techniques and methodologies of abstraction that ca...