401 Open source projects that are alternatives of or similar to centrifuge-toolkit

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

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

A python package to assess cluster tendency

A clustering tutorial with scikit-learn for beginners.

Open Machine Learning Course

Software platform for clinical neuroimaging studies

Predicting Google’s stock price using regression

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.

Python for chemoinformatics

a python interface to OC1 and other oblique decision tree implementations

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

(Python) transform a document-term matrix to an Okapi/BM25 representation

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

Repository for the projects needed to complete the Data Analyst Nanodegree.

Machine Learning in .NET Core.

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Machine learning toolkits with Python

Predict materials properties using only the composition information!

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

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

A Python package for fitting Quinlan's Cubist regression model

Solution of the Titanic Kaggle competition

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

機器學習: Python

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Plot categorical heatmaps with seaborn

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

machine_learning_examples

Machine Learning for Spot Prices

DBSCAN Clustering Algorithm C# Implementation

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

Algorithmic trading using machine learning.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Machine Learning Operator & Controller for Kubernetes

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

NYC scikit-learn sprint (Sep 2018)

Aircraft engine failure prediction model

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

Machine learning in Python with scikit-learn MOOC

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

Implementation of feature engineering from Feature engineering strategies for credit card fraud

simple Echo State Networks integrated with scikit-learn

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Using machine learning libraries to analyze NBA data

Better heatmaps in Python

Conversational text Analysis using various NLP techniques

Automatic machine learning for tabular data. ⚡🔥⚡

Dockerize and deploy machine learning model as REST API using Flask

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

My textbook for teaching Machine Learning

Implementations of machine learning algorithm by Python 3

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

My dataquest project solutions

Cluster Algorithms from Scratch with Julia Lang. (K-Means and DBSCAN)

Predicting the winner of 2019 cricket world cup using random forest algorithm