1514 Open source projects that are alternatives of or similar to veridical-flow

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

SciKIt-learn Pipeline in PAndas

Training Diary

Create HTML profiling reports from pandas DataFrame objects

Multi-class confusion matrix library in Python

The repository provides usefull python scripts for ML and data analysis

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

Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.

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.

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

No description or website provided.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

This is Andrew NG Coursera Handwritten Notes.

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

从零基础开始机器学习之旅

Identify bias and measure fairness of your data

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

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

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Statistical package in Python based on Pandas

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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

Open-source framework to detect outliers in Elasticsearch events

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

Free Resources For Data Science created by Shubham Kumar

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

🚀 All the git commands and workflows you need to know

Awesome list Data Science and Python. 🐍

⚽ Statistics for your mini leagues.

Actionsflow workflow template repository. The best Zapier/IFTTT free alternative for developers to automate your workflows based on Github actions

👾 All I need to setup a new Mac and the applications I use everyday as a Web Developper

simple statistical analysis tool for git repositories

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

A set of improvements to Minitest/Capybara/Poltergeist/PhantomJS test stack that reduces the occurrence of transient failures.

Berlin Time Series Analysis Repository

S4SS: Statistics for Soil Survey

Scoopi Web Scraper is a heavy duty tool to extract data from HTML pages.

HMAC timing attack's w/ statistical analysis

An R package for space-time anomaly detection using scan statistics.

Project for managing ML model and deploying ML module. It can deploy the Rekcurd service to Kubernetes cluster.

The fast version of DeLong's method for computing the covariance of unadjusted AUC.

A lightweight command line interface for the management of arbitrary machine learning tasks

Astro allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.

A Unified Framework for Random Forest Prediction Error Estimation

R package for Distance Metric Learning

List of Data Science and Machine Learning Resource that I frequently use

Student materials and handouts for Excel to Python course

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

Official source code of "Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG"

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

This repository contains notes and projects of Data scientist track from dataquest course work.

Use Git Flow with ease – maintain branches, semantic versioning, releases, and changelog with a single command.

NotSelwyn's over-engineered automatic profile readme

Python ETL(Extract-Transform-Load) tool / Data migration tool

🎢 Simple self-hosted analytics ideal for Express / React Native stacks

Instant Kubernetes-Native Application Observability

This a JavaScript Library for the Numerical Javascript and Machine Learning