Text and supporting code for Think Stats, 2nd Edition
- data-science
- python
- statistics
- textbook
Repository Index
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This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
Jupyter notebooks from the scikit-learn video series
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
Lectures on scientific computing with python, as IPython notebooks.
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- causal-inference
- python
- causality
- data-science
A Code-First Introduction to NLP course
- nlp
- machine-learning
- data-science
- python
Debugging, monitoring and visualization for Python Machine Learning and Data Science
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Code repository for O'Reilly book
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A python library for decision tree visualization and model interpretation.
A high performance implementation of HDBSCAN clustering.
- machine-learning
- machine-learning-algorithms
- clustering
- clustering-algorithm
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A library for debugging/inspecting machine learning classifiers and explaining their predictions
- scikit-learn
- machine-learning
- xgboost
- lightgbm
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning