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118 search results found

Pythondatasciencehandbook ⭐ 40,176

Python Data Science Handbook: full text in Jupyter Notebooks

Data Science Ipython Notebooks ⭐ 25,668

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.

Dask ⭐ 11,711

Parallel computing with task scheduling

Mlcourse.ai ⭐ 9,376

Open Machine Learning Course

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Machine_learning_complete ⭐ 4,296

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

God Level Data Science Ml Full Stack ⭐ 3,384

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

Machine Learning With Python ⭐ 2,980

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

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Projectlearn Project Based Learning ⭐ 2,074

A curated list of project tutorials for project-based learning.

Python Cheat Sheet ⭐ 1,714

Python Cheat Sheet NumPy, Matplotlib

High-Performance Symbolic Regression in Python and Julia

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

Jetson Containers ⭐ 1,388

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Python Tutorial ⭐ 1,261

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数

Kymatio ⭐ 691

Wavelet scattering transforms in Python with GPU acceleration

Deep Learning Wizard ⭐ 664

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

Thesemicolon ⭐ 312

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

Deeplearning Cv Notes ⭐ 291

📓 deepleaning and cv notes.

Python Learning ⭐ 220

This repository is dedicated to Python courses with a focus on artificial intelligence, data science, and practical machine learning. I have been conducting these courses in various levels since 2021.

Introduction_to_ml_with_python ⭐ 198

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

Credit Card Approval Prediction Classification ⭐ 153

Credit risk analysis for credit card applicants

Sunstreaker ⭐ 126

以jax为后端的类似keras的框架

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Pymc Example Project ⭐ 87

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

Mindwave ⭐ 86

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

Docker Alpine Python Machinelearning ⭐ 78

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-ma

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Credit Risk Modelling ⭐ 71

Credit Risk analysis by using Python and ML

Datawranglingpy ⭐ 70

Minimalist Data Wrangling with Python (Open-Access Textbook)

A series of challenges for practicing your Machine Learning and Deep Learning skills

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Stock Prediction ⭐ 57

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Python Machine Learning Book 2nd Edition ⭐ 54

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Cheatsheets ⭐ 46

Evolving Cheatsheets for computer languages/software/OS like Python, Numpy, Pandas, Java, Linux, Terminal, Gentoo

Scikit Learn Tutorial ⭐ 45

Applied Machine Learning in Python with scikit-learn

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

Scriptinglanguagescoursematerials ⭐ 38

Python and Lua tutorials

Intro_ml_with_python_2nd_revised ⭐ 33

<파이썬 라이브러리를 활용한 머신러닝 (번역개정2판)>의 코드 저장소

Mlhandbook ⭐ 31

My textbook for teaching Machine Learning

Machine Learning Alpine ⭐ 31

Alpine Container for Machine Learning

Aiportfolio ⭐ 28

Use AI to generate a optimized stock portfolio

<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

Pedestrian Detection ⭐ 26

Pedestrian Detection using Non Maximum Suppression

A machine learning system that predicts fpl points of players

Simple Ai ⭐ 21

Enabling everyone unfamiliar with programming languages to easily engage with AI and open the doors to the world of the future.

Tabular Automl ⭐ 21

Python Auto-ML Package for Tabular Datasets

Support Vector Machine in Python

Turma Introducao 2019.1 ⭐ 20

Material for the ML/DS course developed by DATA for 2019.

Datascipy ⭐ 20

Data Science with Python

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

Ocaml Sklearn ⭐ 19

scikit-learn for OCaml

Ml Track ⭐ 19

This repository is a recommended track, designed to get started with Machine Learning.

Datacamp Courses Megacollection ⭐ 18

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

Videosummarization ⭐ 18

Course Project for CS771: Machine Learning

Paruluniversityai ⭐ 18

Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose

Workshops ⭐ 17

Tribe of AI workshops curriculum

YouML: A Machine Learning Toolkit

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

Multi Camera People Tracking ⭐ 14

Multi-camera people tracking is to monitoring people with multiple cameras and connecting each other

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%.

Python3 Docker Devenv ⭐ 13

Docker Start Guide with Python Development Environment

Diamonds In Depth Analysis ⭐ 12

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

Robustpca ⭐ 12

Melanoma Detection ⭐ 11

A modular programming approach towards detecting/predicting Melanoma skin lesion using ImageProcessing and MachineLearning in Python.

LSTM Model to predict BTCUSD ticker values

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.

Numpystack ⭐ 10

Basics of the mathematical and visualization libraries required to learn machine learning

🔧 Crawling the history of deep learning with Python.

Heroku Flask Sklearn ⭐ 8

Heroku buildpack: Python, Numpy, Scipy, Scikit-learn along with instructions to install Flask, the web framework, and Gunicorn, the web server.

Ml Algorithms On Scikit And Keras ⭐ 8

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

Python Gradle Plugin ⭐ 8

Gradle plugin to run Python projects.

Data Science Python ⭐ 8

Data Science analysis and visualization using Python.

Python For Data Analysis And Machine Learning ⭐ 8

This repo contains the projects made for the course of Jose Portilla on Udemy.

Analiza_danych_w_jezyku_python ⭐ 8

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

Data Wrangler ⭐ 7

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

Cheatsheets ⭐ 7

Here you find CheatSheets for Data Science Topics

A Python machine learning platform

Machine Learning ⭐ 7

Fundamentals & projects

A machine learning / artifial intelligence framework written for python designed to be easy to use and felxible. It is based mostly on scikit-learn and numpy, but incorperates many open-source and personal machine learning libraries.

Data Science ⭐ 7

EDA and Machine Learning Models in R and Python (Regression, Classification, Clustering, SVM, Decision Tree, Random Forest, Time-Series Analysis, Recommender System, XGBoost)

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.

Imagerecognitionai ⭐ 7

Recognition of the images with artificial intelligence includes train and tests based on Python.

Boston_housing ⭐ 7

We apply basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

Machinelearning ⭐ 6

Machine Learning Modelling On Regression & Classification Problems

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

Super Computer Vision ⭐ 6

Notes about Computer vision and implementation of image-processing, face-detection, face-recognition, and character optical recognition applications.

Beta calibration

Develer Data Science ⭐ 6

Deep dive into Data Science with Python @ Develer

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

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

Cheatsheets ⭐ 6

This repo contains all the cheatsheets that I found Important.

Concrete Compressive Strength Prediction ⭐ 6

The aim of this project is to develop a solution using Data science and machine learning to predict the compressive strength of a concrete with respect to the its age and the quantity of ingredients used.

Youtube Clickbait Detector ⭐ 6

Automatically detect clickbait Youtube videos from their metadata with a 96% F1 score.

Apparel Recommendations ⭐ 6

Content Based Filtering and Apparel Recommendations.

Ncaa 2018 Mens March Madness ⭐ 6

March Madness Predictions

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