1197 Open source projects that are alternatives of or similar to skippa

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

Easy pipelines for pandas DataFrames.

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For extensive instructor led learning

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Create HTML profiling reports from pandas DataFrame objects

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner

Pipeline for initial analysis of droplet-based single-cell RNA-seq data

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Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

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An ongoing list of pandas quirks

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.

Manage Google Spreadsheets in Pandas DataFrame with Python

sidetable builds simple but useful summary tables of your data

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

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Algorithmic trading using machine learning.

Tools that make working with scikit-learn and pandas easier.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

인프런 - 단 두 장의 문서로 데이터 분석과 시각화 뽀개기

A python library to manipulate and transform indexable data (lists, arrays, ...)

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

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

A Pandas Styler class for making beautiful tables

🍊 📊 💡 Orange: Interactive data analysis

A light-weight, flexible, and expressive pandas data validation library

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

Read and write Python objects to S3, caching them on your hard drive to avoid unnecessary IO.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions

Visualize and compare datasets, target values and associations, with one line of code.

Read/write Google spreadsheets using pandas DataFrames

Python driver for MarketStore

Google Classroom Data Pipeline

⭐ An anomaly-based intrusion detection system.

Repository to store sample python programs for python learning

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NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

A library to parse and convert PMML models into Scikit-learn estimators.

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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Universal 1d/2d data containers with Transformers functionality for data analysis.

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Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

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An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

A lightweight data processing framework for Apache Spark

به فارسی، برای مشارکت scikit-learn