6876 Open source projects that are alternatives of or similar to Pixiedust

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Data science and Big Data with Python

Word2Vec models with Twitter data using Spark. Blog:

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.

🎓 Jupyter notebooks from UFC data science course

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Applying Data Science and Machine Learning to Solve Real World Business Problems

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

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

📘 The interactive computing suite for you! ✨

深度学习在推荐系统中的应用及论文小结。

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

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Temporary home for fastai v2 while it's being developed

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

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

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

An ongoing list of pandas quirks

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Quiz & Assignment of Coursera

Python tools for data analysis

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Human Activity Recognition (HAR) with Keras and CoreML

Introduction to pandas Treehouse course

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

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 ;)

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

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Example project implementing best practices for PySpark ETL jobs and applications.

Automatic extraction of relevant features from time series:

A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.

Support content for my blog

Feature exploration for supervised learning

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

The Hitchhiker's Guide to Data Science for Social Good

The "Python Machine Learning (2nd edition)" book code repository and info resource

An intro to Python & programming for wanna-be data scientists

Completed assignments and coding challenges from the Lambda School Data Science program.

A free tutorial for Apache Spark.

A simple Spark TDD example

Modern Data Science

PyMC3 educational resources

Efficient variant-call data storage and retrieval library using the TileDB storage library.

Google Colaboratory Notebooks and Repositories (by @firmai)

Create HTML profiling reports from pandas DataFrame objects

Introduction to Data Science

The blog post about Kubeflow, including all materials

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

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

brief introduction to Python for machine learning

ML.NET Workshop to predict car sales prices

Jupyter magics and kernels for working with remote Spark clusters

Python training for business analysts and traders

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning