7166 Open source projects that are alternatives of or similar to The Elements Of Statistical Learning Python Notebooks

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Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

🍧 A repository that contains courses I have taken on DataCamp

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

Quiz & Assignment of Coursera

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Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

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This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

A Portfolio of my Data Science Projects

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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📖 每一个伟大的思想和行动都有一个微不足道的开始

Introduction to Data Science

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open source for wechat-official-account (ID: PyDataLab)

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Lending Club Loan data analysis

YouTube Like Count Predictions using Machine Learning

General Assembly's 2015 Data Science course in Washington, DC

A day to day plan for this challenge. Covers both theoritical and practical aspects

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Collection of useful data science topics along with code and articles

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Machine learning fundamentals lesson in interactive notebooks

Visualizer for pandas data structures

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a delightful machine learning tool that allows you to train, test, and use models without writing code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

A Python library for easy data analysis, visualization, exploration and modeling

Curso de Data Science em Português

Python tools for data analysis

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IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

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Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

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repo for code published on pythondata.com

Stock for Deep Learning and Machine Learning

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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A Code-First Introduction to NLP course

Human-explainable AI.

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Cryptocurrency Price Prediction Using LSTM neural network

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

The premier open source Data Quality solution

Kai Sheng Teh - Udacity Data Analyst Nanodegree

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.