Top 10 GitHub Repositories for Data Science in 2023
Here are the top 10 GitHub repositories for data science in 2023:
TensorFlow is a popular open-source library for machine learning and deep learning developed by Google. It is a powerful tool for building and training machine learning models, and it is used by many data scientists and machine learning engineers.
Scikit-learn is a widely used Python library that provides a range of machine-learning algorithms and utilities. It is a popular choice for data scientists who want to build and evaluate machine learning models.
PyTorch is another prominent deep-learning framework that has gained significant traction in the data science community. It is similar to TensorFlow in terms of its capabilities, but it has a different syntax and is often seen as being more beginner-friendly.
Incredible Public Datasets
This repository contains a collection of public datasets that are used by data scientists for research and development. It is a great resource for finding datasets that are relevant to your work.
Pandas is a Python library for data analysis that is widely used by data scientists. It provides a powerful set of tools for manipulating, cleaning, and analyzing data.
Matplotlib is a Python library for creating static, animated, and interactive visualizations. It is a popular choice for data scientists who want to visualize their data.
Keras is a high-level API for TensorFlow that makes it easier to build and train deep learning models. It is a popular choice for data scientists who want to build deep learning models without having to learn the low-level details of TensorFlow.
XGBoost is a popular machine learning library that is known for its speed and accuracy. It is a good choice for data scientists who need to build models that can be deployed in production.
DVC is a data version control system that helps data scientists track and manage their data. It is a valuable tool for ensuring that data is reproducible and consistent.
Data Science IPython Notebooks
This repository contains a collection of IPython notebooks that demonstrate different data science techniques. It is a great resource for learning about data science and for getting started with data science projects.
These are just a few of the many great GitHub repositories for data science. I encourage you to explore these repositories and find the ones that are most useful for you.