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411 search results found

Datawranglingpy ⭐ 70

Minimalist Data Wrangling with Python (Open-Access Textbook)

Hands On Ml ⭐ 69

Hands-On Machine Learning

Islr With Python ⭐ 68

Introduction to Statistical Learning with R을 Python으로

Pydata Dc 2016 Tutorial ⭐ 67

Tutorial: Machine Learning with Text in scikit-learn

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

Data Science And Machine Learning Projects Dojo ⭐ 67

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Pyparis 2018 Sklearn ⭐ 64

PyParis tutorial on machine learning using scikit-learn

Detecting Road Features ⭐ 63

Detecting Road Features: identifying lane and vehicles boundaries in a video.

Do It Dl ⭐ 61

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Pydata Gbrt Tutorial ⭐ 60

IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"

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.

⭕️ Building Recommendation Engines in Python

Predictionapi ⭐ 56

Tutorial on deploying machine learning models to production

Sign Language And Static Gesture Recognition Using Sklearn ⭐ 56

A Machine Learning pipeline that performs hand localization and static-gesture recognition built using the scikit learn and scikit image libraries http://www.ssreehari.com/Sign-language-and-static-

Ray_tutorial ⭐ 55

An introductory tutorial about leveraging Ray core features for distributed patterns.

Machine Learning In Python Workshop ⭐ 54

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

Py4chemoinformatics ⭐ 53

Python for chemoinformatics

Machine Learning_zero To Hero ⭐ 53

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

Word2vec Movies ⭐ 53

Bag of words meets bags of popcorn in Python 3 中文教程

A collection of online books for data science, computer science and coding!

Tf Speech Recognition Challenge Solution ⭐ 53

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recogn The solution ranked in top 5% in private leaderboard.

Mapalign ⭐ 52

Diffusion map based embedding and alignment

Scikit Tree ⭐ 51

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Sklearn Deeprl ⭐ 51

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

The Hello World Of Machine Learning ⭐ 48

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Dstoolbox ⭐ 45

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

Practical Machine Learning With Tensorflow 2.0 And Scikit Learn ⭐ 45

Practical Machine Learning with TensorFlow 2.0 and Scikit-Learn [Video], published by Packt

Face_rating ⭐ 44

Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach

Captcha Breaker ⭐ 43

A simple machine learning powered captcha breaker

Spark Sklearn Airbnb Predict ⭐ 42

Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.

Seizure Detection Tutorials ⭐ 41

A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Fieldrnn ⭐ 39

Temporal Vegetation Classification with Recurrent Neural Networks

Icc 2019 Wc Prediction ⭐ 39

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

Computer Vision ⭐ 39

Computer vision sabbatical study materials

Scriptinglanguagescoursematerials ⭐ 38

Python and Lua tutorials

Gunosy Internship Textbook ⭐ 37

Gunosy Summer Internship 機械学習コース向けの事前学習用のテキストです。

Energy Disaggregation ⭐ 36

Nlp_workshop_odsc_europe20 ⭐ 36

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

Movie Recommendation Chatbot ⭐ 35

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and n

Kmeans_elbow ⭐ 35

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

Augmented Interpretable Models ⭐ 35

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

A list of all my posts and personal projects

Intro_ml_with_python_2nd_revised ⭐ 33

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

Pydata Amsterdam 2016 ⭐ 33

Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)

Python based GUI for Satellite Derived Bathymetry processing

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.

Machine Learning Alpine ⭐ 31

Alpine Container for Machine Learning

Mlhandbook ⭐ 31

My textbook for teaching Machine Learning

Data Science With Python ⭐ 31

This repository contains my various pet projects done on machine Learning and Deep learning.Some of them can be found on

Machine Learning ⭐ 31

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

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:

Python_for_ml ⭐ 30

brief introduction to Python for machine learning

Machine Learning For Tabular Data ⭐ 30

Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost

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

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.

Real_estate_ml ⭐ 28

Machine Learning for Real Estate

Ensemble Methods Notebooks ⭐ 28

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

Deep_learning_projects ⭐ 28

Dataquest Guided Projects Solutions ⭐ 27

My dataquest project solutions

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소

Machine Learning With Scikit Learn Python 3.x ⭐ 27

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This

Hands On Machine Learning 2edition ⭐ 27

A jupyter notebook based on Scikit-Learn and TensorFlow 2.0 with Chinese comment that takes you through the basics of machine learning and deep learning in python with ease.

Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.

Data Science Projects With Python ⭐ 26

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

Machine Learning With Scikit Learn Quick Start Guide ⭐ 26

Published by Packt

Machine Learning Toolkits With Python ⭐ 26

Machine learning toolkits with Python

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

Prediciting Binary Options ⭐ 25

Predicting forex binary options using time series data and machine learning

Lending Club ⭐ 25

Applying machine learning to predict loan charge-offs on LendingClub.com

Intro To Machine Learning ⭐ 24

Introduction to Machine Learning

20 Newsgroups_text Classification ⭐ 24

"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.

Spotify_song_recommender ⭐ 24

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

Sklearn_ensae_course ⭐ 24

Materials for a course on scikit-learn at ENSAE

Bayesian_optimization ⭐ 23

Bayesian optimization

Pyro Risks ⭐ 23

Data science for wildfire risk forecasting and monitoring

REGAIN (Regularised Graphical Inference)

A machine learning system that predicts fpl points of players

Machine Learning For Dummies ⭐ 22

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

Centrifuge Toolkit ⭐ 22

Tool for visualizing and empirically analyzing information encoded in binary files

Ml Live Intermediate ⭐ 22

Machine Learning with scikit-learn for Safari Books Online, intermediate

Machine Learning Capstone Project ⭐ 22

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

Icon2017 ⭐ 22

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Machine Learning With Python ⭐ 22

This repositories contain various Machine Learning examples done with Python.

Sphereloss_tensorflow ⭐ 22

SphereFace_tensorflow

Data Science Learning Paths ⭐ 22

Practical data science courses - from basic to intermediate

Handon Ml ⭐ 21

A learning note of Hand-On Machine Learning with Scikit-Learn and TensorFlow

Lecture 3 Linear Models ⭐ 20

ICDSS Machine Learning Workshop Series: Linear Models

Handson Ml3 ⭐ 20

<핸즈온 머신러닝 3판>의 주피터 노트북 저장소

Spot_price_machine_learning ⭐ 20

Machine Learning for Spot Prices

Turma Introducao 2019.1 ⭐ 20

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

Cshl Singlecell 2017 ⭐ 20

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

Handson Gb ⭐ 20

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

Machine Learning Dataschool ⭐ 20

Detailed notes and code to learn the basics of machine learning with scikit-learn.

A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

Datascipy ⭐ 20

Data Science with Python

Ml Workshop Intro ⭐ 19

Introduction to scikit-learn: Machine Learning in Python

Project_mym ⭐ 19

Combined computer vision techniques and convolutional neural networks to accurately classify chess pieces and identified their location on a chessboard. Tools: Python, Google Cloud, Keras, TensorFlow, OpenCV, Pillow, Scikit-learn, NumPy, Seaborn, and others

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