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Search results for data science scikit learn

216 search results found

Datascienv ⭐ 41

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

Pyclustertend ⭐ 39

A python package to assess cluster tendency

A scikit-learn compatible library for anomaly detection

A list of all my posts and personal projects

Kaggledatasets ⭐ 33

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

Nimbusml Samples ⭐ 33

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

Data Science Learning ⭐ 32

📊 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.

A Python package for fitting Quinlan's Cubist regression model

Nostradamus ⭐ 30

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Python_for_ml ⭐ 30

brief introduction to Python for machine learning

Notebooks ⭐ 30

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

Minimal Datascience ⭐ 29

This repository contains all the code and dataset used in my blog series: Minimal Data Science

Predict Opioid Prescribers ⭐ 28

A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.

Appliedmathschoollectures ⭐ 28

Lectures on "crime and political corruption analysis using data mining, machine learning and complex networks" at the School of Applied Mathematics in the Institute of Mathematics and Computer Science at University of São Paulo

Sklearn Nature Inspired Algorithms ⭐ 27

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소

Data Science Projects With Python ⭐ 26

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

Nyc 2019 Scikit Sprint ⭐ 26

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

Cs329s Covid Prediction ⭐ 24

This repository is a work-in-progress ML production pipeline for detecting Covid-19 from cough sounds and clinical information.

A machine learning system that predicts fpl points of players

Pyro Risks ⭐ 23

Data science for wildfire risk forecasting and monitoring

Machine Learning For Dummies ⭐ 22

Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.

Data Science Learning Paths ⭐ 22

Practical data science courses - from basic to intermediate

Datascipy ⭐ 20

Data Science with Python

Tsforecasting ⭐ 19

TSForecasting - Automated Time Series Forecasting Framework

Polyaxon Core Client & CLI to streamline MLOps

Machine Learning ⭐ 19

All about Machine Learning and Deep Learning • Data → Model → Predict

Statistics For Data Science Using Python ⭐ 19

Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta

Foxcross ⭐ 19

AsyncIO serving for data science models

skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.

Datacamp Courses Megacollection ⭐ 18

70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,

Learning And Experimenting_data Science ⭐ 18

Journey through data analysis

Crime Analysis ⭐ 18

Association Rule Mining from Spatial Data for Crime Analysis

Datascienceutils ⭐ 17

Data science common method for python

YouML: A Machine Learning Toolkit

Hydra Sklearn Pipelines ⭐ 16

Hydra-Sklearn preprocessing pipelines. Code accompanying the blogpost: Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn

Explainy ⭐ 16

explainy is a Python library for generating machine learning model explanations for humans

Bayarea 2019 Scikit Sprint ⭐ 16

Bay Area WiMLDS scikit-learn open source sprint (Nov 2, 2019)

Machine_learning ⭐ 15

Data Analysis and ML in Python.

Textclassificationapp ⭐ 15

Building and Deploying A Serverless Text Classification Web App

Ml_course ⭐ 14

This repository belongs to the course of machine learning with Python which is getting ready for AUT

Cursods_profdanilo ⭐ 14

Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Datathon Machine Learning ⭐ 13

Cree un modelo que puede predecir, a partir de ciertos datos, si un paciente va a permanecer en el hospital durante más o menos de 8 días. Los resultados fueron una precisión del 83% en la medida del recall y una precisión del 81%.

Interactivekmeans ⭐ 13

Interactive HTML canvas based implementation of k-means.

Python_chilla ⭐ 13

This repository contains practice materials on Python, used to deliver online training course. The course was sponsered by codenics and Scholership Network. Pakistan

Hosting the scikit-learn blog.

Reddittextclassification ⭐ 12

Reddit Gender Text-Classification.

Clinical Rule Vetting ⭐ 12

Learning clinical-decision rules with interpretable models.

Heart Diagnosis Engine ⭐ 12

2019년 민족사관고등학교 졸업 프로젝트

Machine Learning ⭐ 11

Assignment Machine Learnig 🤖

Fundamentals Of Machine Learning With Scikit Learn ⭐ 11

Fundamentals of Machine Learning with Scikit-Learn

Nycbuildingenergyuse ⭐ 11

Creating Regression Models Of Building Emissions On Google Cloud

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly

Kakao Valhalla ⭐ 11

A2V first Project_kakao-arena

Datascience ⭐ 11

Coleção de recursos sobre Ciência de Dados com Python.

Doubleml Serverless ⭐ 10

DoubleML-Serverless - Distributed Double Machine Learning with a Serverless Architecture

Genetictree ⭐ 10

Constructing decision trees with genetic algorithm with a scikit-learn inspired API

Pga Tour Data Science Project ⭐ 10

Scp Labs ⭐ 10

SCP Labs (Open Source Team for SuperCowPowers)

Lime Interpretable Ml ⭐ 10

An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.

Atlantic ⭐ 10

Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning

Awesome Deepnote ⭐ 9

A curated list of extensions, python packages, machine learning and collaborative notebooks ready to run in Deepnote.

Collection of YouTube videos on data science on the Data Professor YouTube channel.

Papierstat ⭐ 9

Lectures on Machine Learning (French)

Data_science_introduction_with_python ⭐ 8

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Vulpes: Test many classification, regression models and clustering algorithms to see which one is most suitable for your dataset

Scikit Physlearn ⭐ 8

A machine learning library for regression, which implements a new formulation of gradient boosting.

Data Science Python ⭐ 8

Data Science analysis and visualization using Python.

Analiza_danych_w_jezyku_python ⭐ 8

M. Gągolewski, M. Bartoszuk, A. Cena, Przetwarzanie i analiza danych w języku Python, PWN, 2016

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Portifolio ⭐ 8

Este repositório contém meus projetos de Data Science e Machine Learning.

Webscikit ⭐ 8

Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and boston2

Real_estate_machine_learning ⭐ 7

Modelling real estate market in Budapest using machine learning

Nba Predictive Analytics ⭐ 7

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

Pca Principal Component Analysis ⭐ 7

Principal Component Analysis (PCA) is by far the most popular dimensionality reduction algorithm. First it identifies the hyperplane that lies closest to the data, and then it projects the data onto it.

Sk Transformers ⭐ 7

A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠

Cluster Over Sampling ⭐ 7

A general interface for clustering based over-sampling algorithms.

Data Wrangler ⭐ 7

Wrangle messy numerical, image, and text data into consistent well-organized formats

Python Libraries Roadmap ⭐ 7

I am sharing lessons in various Python Libraries from scratch to intermediate including practice sets which were useful into my journey of Data Science.

Frankenfit ⭐ 7

A Python library for creating, fitting, and applying predictive data modeling pipelines.

Machine Learning ⭐ 7

Fundamentals & projects

Data Science ⭐ 7

Dashserve ⭐ 6

develop and serve Plotly Dash apps in Jupyter Notebook or JupyterLab

Predicting Survival On Titanic With Machine Learning And Graphical User Interface ⭐ 6

This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, which then takes them to a screen displaying the prediction results of the testing data as well as the general model accuracy. The screen also includes various buttons that, when selected, display complex an

Datascience Foodie ⭐ 6

A project which implements the Data Science pipeline - Extracting raw data, Data Cleaning, Feature Extraction, Entity Matching, Data Matching, Data Merging and OLAP style exploration. The two entities chosen are Yelp and Zomato. Restaurant data from the same localities will be extracted from both sites and similar restaurants will be merged into one big table. OLAP style exploration will be done on that table to find out the insights from the collected data (Eg, Which is the most highly rated re

Cheatsheets ⭐ 6

This repo contains all the cheatsheets that I found Important.

Develer Data Science ⭐ 6

Deep dive into Data Science with Python @ Develer

Msc In Machine Learning And Artificial Intelligence ⭐ 6

Master of Science in Machine Learning & Artificial Intelligence - Indian Institute Technology Madras & Liverpool John Moores University

Data Science Notes ⭐ 6

A collection of data science concepts, datasets, industry-applications, walk-through's & notes. See ISSUES tab for in-depth studies by topics.

Extended Naive Bayes ⭐ 6

[WIP] Extension of sklearn Naive Bayes models that allows sampling and more feature distributions.

Datascience Notebooks ⭐ 6

Collection of Data Science Notebooks

Machine learning meets natural products

Speakerclassifier ⭐ 6

A random forest classifier to predict the age-group and gender of a speaker from voice measurements.

Car Price Prediction Highly Comprehensive Linear Regression Project ⭐ 6

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Deep Learning For Data Science ⭐ 6

Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders

Machinelearning ⭐ 6

Machine Learning Modelling On Regression & Classification Problems

Artificial_intelligence_data_science_portfolio ⭐ 6

Personal portfolio that covers interesting AI, ML, DL and DS topics

An application to simply life of a data scientist.

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