Python Data Science Handbook: full text in Jupyter Notebooks
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Updated
Jun 26, 2024 - Jupyter Notebook
Python Data Science Handbook: full text in Jupyter Notebooks
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.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
📓 deepleaning and cv notes.
notebooks with example for machine learning examples
This is the cheat sheet Jupyter Notebook I made for my Matplotlib Learn in One Video Tutorial. I basically condensed the Matplotlib API down into this one cheat sheet with tons of examples.
Notebooks and libraries for spatial/geo Python explorations
In this notebook I have tried to use all the classification algorithms that I have learned in Machine Learning with Python course authorized by IBM.
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
Simple demo of linear regression built with numpy in a jupyter notebook.
A container for Deep Learning with Python 3
The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.
Tutorial notebooks on numpy, pandas and matplotlib.
A collection of Jupyter notebooks exploring different datasets.
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