datascience and data-science-learning
Both repositories are **competitors**, as they offer independent collections of learning resources and code examples for data science and machine learning.
About datascience
sreeharierk/datascience
This repository is a compilation of free resources for learning Data Science.
This compilation provides free resources for those learning data science fundamentals. It helps you understand core concepts like data structures (matrices, hash functions, binary trees), database operations (relational algebra, SQL joins), and data management principles (CAP theorem, sharding). This resource is for aspiring data scientists, data analysts, or anyone looking to build a foundational understanding of data science concepts.
About data-science-learning
5agado/data-science-learning
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
This project provides structured learning materials and practical code examples for individuals wanting to understand data science and machine learning concepts. It offers curated lists of external resources and Jupyter notebooks that explain topics like statistics, deep learning, and natural language processing. Aspiring data scientists, students, or anyone looking to self-teach these subjects would find this useful for guided learning and hands-on practice.
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