Awesome Open Source

Programming Languages

Search results for jupyter notebook xgboost

jupyter-notebook x

217 search results found

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Ml_notes ⭐ 1,547

机器学习算法的公式推导以及numpy实现

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

Interpretable_machine_learning_with_python ⭐ 629

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Daily Deeplearning ⭐ 532

🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

Shap Hypetune ⭐ 496

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

Sagemaker Deployment ⭐ 445

Code and associated files for the deploying ML models within AWS SageMaker

Rong360 ⭐ 438

用户贷款风险预测

Mli Resources ⭐ 405

H2O.ai Machine Learning Interpretability Resources

Ai Platform Samples ⭐ 403

Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-s

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

Neural_decoding ⭐ 242

A python package that includes many methods for decoding neural activity

Machinelearningseminars ⭐ 240

Семинары А.В. Грабового к лекционному курсу К.В. Воронцова.

Data_science_blogs ⭐ 232

A repository to keep track of all the code that I end up writing for my blog posts.

Feature Engineering Tutorials ⭐ 217

Data Science Feature Engineering and Selection Tutorials

Docker Course Xgboost ⭐ 189

Materials for an online-course - "Practical XGBoost in Python"

Nba Prediction ⭐ 186

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

2020 12th Ironman ⭐ 182

[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽影片教學組

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Malware Detection ⭐ 173

Malware Detection and Classification Using Machine Learning

2017 Ccf Bdci Aijudge ⭐ 170

2017-CCF-BDCI-让AI当法官(初赛)：7th/415 (Top 1.68%)

Benchmarks ⭐ 157

Comparison tools

Tensorflow Ml Nlp ⭐ 157

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Tencent_social_ads2017_mobile_app_pcvr ⭐ 151

Tencent Social Ads 2017 contest rank 20

Machine Learning Notes ⭐ 130

机器学习笔记

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Kaggle_challenge ⭐ 118

This is the code for "Kaggle Challenge LIVE" By Siraj Raval on Youtube

Criteo 1tb Benchmark ⭐ 117

Benchmark of different ML algorithms on Criteo 1TB dataset

Applied Machine Learning ⭐ 117

A step-by-step guide to get started with Applied Machine Learning

Hands On Gradient Boosting With Xgboost And Scikit Learn ⭐ 116

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

Ai Deployment ⭐ 116

关注AI模型上线、模型部署

Machinelearningnote ⭐ 114

Weibosentiment ⭐ 104

基于各种机器学习和深度学习的中文微博情感分析

Data Science Popular Algorithms ⭐ 101

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

Fraud Detection Using Machine Learning ⭐ 98

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

Medium Articles ⭐ 97

Repo for all my code on the articles I post on medium

Sci Pype ⭐ 96

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Automation Repo ⭐ 95

Machine learning and process automation

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.

Sigmoidal_ai ⭐ 89

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Aws Lambda Docker Serverless Inference ⭐ 88

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Holiday Similarity ⭐ 86

Finding similar images in the Holidays dataset

Btctrading ⭐ 83

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

Ijcai18_tianchi_rank29 ⭐ 76

IJCAI18-阿里妈妈广告转化率预测代码（Rank29）

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

2017 Ccf Bdci Enterprise ⭐ 70

2017-CCF-BDCI-企业经营退出风险预测：9th/569 (Top 1.58%)

Pyastrotrader ⭐ 69

Machine Learning + Financial Markets + Astrology = A Match made in Heaven

Allstate_capstone ⭐ 69

Allstate Kaggle Competition ML Capstone Project

Music Genre Classification ⭐ 67

Recognizing the genre of music files using machine learning and deep learning models

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Route Optimizer Machine Learning ⭐ 58

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Spark Examples ⭐ 54

RAPIDS Spark examples

Cikm Analyticup 2018 ⭐ 50

CIKM AnalytiCup 2018 – 阿里小蜜机器人跨语言短文本匹配算法竞赛 – Rank12方案

Fast_retraining ⭐ 50

Show how to perform fast retraining with LightGBM in different business cases

Ds Ml Public ⭐ 49

Python Scripts and Jupyter Notebooks

Spark Xgboost Examples ⭐ 43

XGBoost GPU accelerated on Spark example applications

Oasw Concept Drift Detection And Adaptation ⭐ 42

An online learning method used to address concept drift and model drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

Msds696 Masters Final Project ⭐ 41

Earthquake Prediction Challenge with LightGBM and XGBoost

Spykesml ⭐ 40

A class for using ML algorithms for spike prediction

Fpl Prediction ⭐ 39

Machinelearningnote ⭐ 37

用python实现机器学习各种经典算法

Perfect Guide About Machine Learning Study ⭐ 35

파이썬 머신러닝 완벽 가이드를 교재로 진행한 쏘카 데이터 그룹 사내 스터디 보완 자료

Xgboost_explainer ⭐ 34

A tool for analyzing feature importance of xgboost model. idea came from R version xgboostExplainer

Recsys Challenge 2020 Twitter ⭐ 32

The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano

Loan Defaulter Prediction Machine Learning ⭐ 31

Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost

Machine Learning Alpine ⭐ 31

Alpine Container 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

Fraud_detection ⭐ 30

Tuning XGBoost hyper-parameters with Simulated Annealing

Qatar_2022_prediction ⭐ 29

QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.

2020 Ccf Crowd Flow Prediction ⭐ 29

科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测第1名方案

Time_series_prediction ⭐ 28

Time series prediction project for Information Retrieval and Data Mining(COMPGI15)

Data_science ⭐ 27

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Recsys2019 ⭐ 26

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Pover T Tests ⭐ 25

Github Stars Predictor ⭐ 25

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

Advancedanalyticslabs ⭐ 24

Analytics labs notebooks for Statistics and Business School students

Mlops Best Practices ⭐ 23

Practical guide to build end-to-end machine learning pipeline and deploy your model in production,

Idao 2019 Muon Id ⭐ 23

Problem for IDAO 2019 on LHCb Muon Identification

Kaspersky_hackathon ⭐ 23

https://events.kaspersky.com/hackathon/

Neptune Examples ⭐ 22

Examples of using Neptune to keep track of your experiments (maintenance only).

A B Testing With Machine Learning ⭐ 22

Implemented an A/B Testing solution with the help of machine learning

Xgboost Tensorflow Wide And Deep Comparison ⭐ 20

Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation

Handson Gb ⭐ 20

XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅

Diabetes_use_case ⭐ 19

Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/

2018_diantou_photovoltaicpowerstation ⭐ 19

2018光伏发电预测比赛，结果a榜22/801 ，b榜44/801

Aws Customer Churn Pipeline ⭐ 19

An End to End Customer Churn Prediction solution using AWS services.

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

1st Place South African Covid 19 Vulnerability Map Hackathon ⭐ 18

This Challenge aims to infer important COVID-19 public health risk factors from outdated data in South Africa

Fudanuniversity Datamining ⭐ 18

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Line Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Ml Class ⭐ 17

Code for the Inquiryum Machine Learning Fundamentals Course

Humanorrobot ⭐ 17

a solution for competition of kaggle `Human or Robot`

Instacart Market Basket Analysis ⭐ 17

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Xgboost_vs_lightgbm ⭐ 16

Comparison of XGBoost and LightGBM (speed, accuracy and complexity)

Mannvillegroup_strat_hackathon ⭐ 16

stratigraphic machine-learning - active work moved to Predictatops

Quora_question_pairs_nlp_kaggle ⭐ 15

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

Apartment Interest Prediction ⭐ 15

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

Related Searches

Python Jupyter Notebook (12,976)

Jupyter Notebook Machine Learning (8,463)

Jupyter Notebook Dataset (6,824)

Jupyter Notebook Deep Learning (6,566)

Jupyter Notebook Tensorflow (4,771)

Jupyter Notebook Convolutional Neural Networks (4,218)

Jupyter Notebook Neural (3,926)

Jupyter Notebook Pytorch (3,877)

Jupyter Notebook Classification (3,847)

Jupyter Notebook Data Science (3,734)

1-100 of 217 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.