1446 Open source projects that are alternatives of or similar to Skoot

Open Machine Learning Course

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.

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

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

AsyncIO serving for data science models

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

All the slides, accompanying code and exercises all stored in this repo. 🎈

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Association Rule Mining from Spatial Data for Crime Analysis

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Compilation of R and Python programming codes on the Data Professor YouTube channel.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Python Cheat Sheet NumPy, Matplotlib

A collection of notebooks of my Machine Learning class written in python 3

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

🍊 📊 💡 Orange: Interactive data analysis

brief introduction to Python for machine learning

Data exploration glue

AutoGluon: AutoML for Text, Image, and Tabular Data

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).

Jupyter notebooks from the scikit-learn video series

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

For extensive instructor led learning

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A unified framework for machine learning with time series

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

MLOps for AWS SageMaker. www.sagifyml.com

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

ADAM - A Question Answering System. Inspired from IBM Watson

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.

A Pandas Styler class for making beautiful tables

An extension to pandas dataframes describe function.

Data Science Best Practices with pandas

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Framework for setting up predictive analytics services

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Some useful Tips and Tricks to speed up the data analysis process in Python.

Easy pipelines for pandas DataFrames.

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Read data from, write data to, and modify the formatting of Google Sheets

A graph-based functional API for building complex scikit-learn pipelines.

An open source python library for automated feature engineering

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

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

Probably the best curated list of data science software in Python.

An ongoing list of pandas quirks

Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines

model-describer : Making machine learning interpretable to humans

Introduction to pandas Treehouse course

Using python and scikit-learn to make stock predictions