Deep Learning for humans
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Updated
Aug 22, 2023 - Python
Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.
Deep Learning for humans
scikit-learn: machine learning in Python
Apache Superset is a Data Visualization and Data Exploration Platform
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Streamlit — A faster way to build and share data apps.
Roadmap to becoming an Artificial Intelligence Expert in 2022
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Deep learning framework to train, deploy, and ship AI products Lightning fast.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
10 Weeks, 20 Lessons, Data Science for All!
📝 An awesome Data Science repository to learn and apply for real world problems.
Build and share delightful machine learning apps, in Python
Data Apps & Dashboards for Python. No JavaScript Required.
The fastai book, published as Jupyter Notebooks