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Python Data Science Handbook: full text in Jupyter Notebooks
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Companion webpage to the book "Mathematics For Machine Learning"
Notebooks and code for the book "Introduction to Machine Learning with Python"
Recipes for using Python's pandas library
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A python library for decision tree visualization and model interpretation.
USC urban data science course series in Python
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…
A benchmark dataset for data-driven weather forecasting
davified / clean-code-ml
Forked from zedr/clean-code-python🛁 Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
This repo contains materials for use in a TensorFlow workshop.
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Practical Time-Series Analysis, published by Packt
Pysolar is a collection of Python libraries for simulating the irradiation of any point on earth by the sun. It includes code for extremely precise ephemeris calculations.
Book: Introduction to Python for Computational Science and Engineering
Parallel computing in Python tutorial materials
Data Cleaning Libraries with Python
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
Course materials for my data pipeline video course with O'Reilly
A collection of non-residential buildings for performance analysis and algorithm benchmarking
Activities and exercises for the Part IA computing course in Michaelmas Term
Python Data Analysis Cookbook, published by Packt
Anomaly detection algorithm implementation in Python
A collection of Planet OS Jupyter notebooks.