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Search results for jupyter notebook data science
2,956 search results found
Ml For Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Probabilistic Programming And Bayesian Methods For Hackers
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 For Beginners
10 Weeks, 20 Lessons, Data Science for All!
The fastai book, published as Jupyter Notebooks
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Best Practices on Recommendation Systems
Python Machine Learning Book
The "Python Machine Learning (1st edition)" book code repository and info resource
List of Data Science Cheatsheets to rule the world
Create HTML profiling reports from pandas DataFrame objects
Mit Deep Learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Numerical Linear Algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Best Practices, code samples, and documentation for Computer Vision.
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
An open-source, low-code machine learning library in Python
Machine Learning For Trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Wowchemy Hugo Themes
😍 EASILY BUILD THE WEBSITE YOU WANT - NO CODE, JUST MARKDOWN BLOCKS! 创建在线课程，学术简历或初创网站。#OpenScience
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Industry Machine Learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
📘 The interactive computing suite for you! ✨
Python Machine Learning Book 2nd Edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Data Analysis And Machine Learning Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Feature Store for Machine Learning
Automatically visualize your pandas dataframe via a single print! 📊 💡
Visualizer for pandas data structures
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Probabilistic reasoning and statistical analysis in TensorFlow
Build data pipelines, the easy way 🛠️
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Data augmentation for NLP
Curated list of Python resources for data science.
Collection of useful data science topics along with articles, videos, and code
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
The Go kernel for Jupyter notebooks and nteract.
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
A curated list of awesome Jupyter projects, libraries and resources
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
A Code-First Introduction to NLP course
Scikit Learn Videos
Jupyter notebooks from the scikit-learn video series
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Build Web Apps in Jupyter Notebook with Python only
A high-level app and dashboarding solution for Python
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Deep Learning Book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
God Level Data Science Ml Full Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
A python library for decision tree visualization and model interpretation.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Python Is Cool
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.
.NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
Python training for business analysts and traders
🌎 machine learning tutorials (mainly in Python3)
The open standard for data logging
Data Science Question Answer
A repo for data science related questions and answers
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Interactive Go programming with Jupyter
Zero To Mastery Ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.
Python Causality Handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Linear Algebra With Python
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Jupyter notebook and datasets from the pandas Q&A video series
Repository containing notebooks of my posts on Medium
The mitosheet package, trymito.io, and other public Mito code.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A site that displays up to date COVID-19 stats, powered by fastpages.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.
Arcgis Python Api
Documentation and samples for ArcGIS API for Python
General Assembly's 2015 Data Science course in Washington, DC
Spark Py Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
An Introduction To Statistical Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
fklearn: Functional Machine Learning
Tutorials and training material for the H2O Machine Learning Platform
Scikit Learn Tips
🤖⚡️ 50 scikit-learn tips
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Koç University deep learning framework.
Cracking The Data Science Interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
Efficient Python Tricks and Tools for Data Scientists
USC urban data science course series with Python and Jupyter
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Data Science On Gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
Awesome Google Colab
Google Colaboratory Notebooks and Repositories (by @firmai)
A mindmap summarising Deep Learning concepts.
VS Code Jupyter extension
Python Helper library for Jupyter Notebooks
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Python Jupyter Notebook (12,976)
Jupyter Notebook Machine Learning (8,463)
Jupyter Notebook Dataset (6,824)
Jupyter Notebook Deep Learning (6,566)
Python Data Science (6,028)
Machine Learning Data Science (4,725)
Jupyter Notebook Classification (3,939)
Jupyter Notebook Convolutional Neural Networks (3,938)
Jupyter Notebook Neural (3,926)
Jupyter Notebook Pytorch (3,877)
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