Python Data Science Handbook: full text in Jupyter Notebooks
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Updated
Jun 26, 2024 - Jupyter Notebook
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
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.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
📓 deepleaning and cv notes.
notebooks with example for machine learning examples
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
📖 每一个伟大的思想和行动都有一个微不足道的开始
Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
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.
A collection of notebooks of my Machine Learning class written in python 3
Simple demo of linear regression built with numpy in a jupyter notebook.
Created by Travis Oliphant
Latest release 26 days ago