Github Prajktamsodde Data Science

By switzerlandersing On Sep 12, 2025

GitHub - PraJktaMSodde/Data-Science

GitHub - PraJktaMSodde/Data-Science Contribute to prajktamsodde/data science development by creating an account on github. 👀 i’m interested in actuarial science and student member of institute of actuaries of india. 🌱 i’m currently learning statistics, python and r to become an actuary.

Projektstudium-Data-Science · GitHub

Projektstudium-Data-Science · GitHub Github is where people build software. more than 100 million people use github to discover, fork, and contribute to over 330 million projects. This repository is a collection of code, notes, and projects related to my data science master's course at pw skills. it is a comprehensive resource for anyone interested in data science, machine learning, and deep learning. This portfolio is a compilation of all the data science and data analysis projects i have done for academic, self learning and hobby purposes. this portfolio is updated on the regular basis. To associate your repository with the data science python topic, visit your repo's landing page and select "manage topics." github is where people build software. more than 150 million people use github to discover, fork, and contribute to over 420 million projects.

GitHub - Tarekujjaman/Data-Science

GitHub - Tarekujjaman/Data-Science This portfolio is a compilation of all the data science and data analysis projects i have done for academic, self learning and hobby purposes. this portfolio is updated on the regular basis. To associate your repository with the data science python topic, visit your repo's landing page and select "manage topics." github is where people build software. more than 150 million people use github to discover, fork, and contribute to over 420 million projects. This repository is a comprehensive collection of resources, tutorials, notes, and code examples covering the full spectrum of data science, machine learning, deep learning, python programming, and related foundational tools. By the end of this series, students will have learned basic principles of data science, including ethical concepts, data preparation, different ways of working with data, data visualization, data analysis, real world use cases of data science, and more. Contribute to prajktamsodde/data science development by creating an account on github. This is the code repository for practical data science with python, published by packt. it contains all the supporting project files necessary to work through the book from start to finish.