All Projects → Dtreeviz → Similar Projects or Alternatives

6387 Open source projects that are alternatives of or similar to Dtreeviz

Machine Learning With Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Stars: ✭ 2,197 (+18.31%)
Machine Learning Alpine
Alpine Container for Machine Learning
Stars: ✭ 30 (-98.38%)
aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
Stars: ✭ 119 (-93.59%)
Mutual labels:  random-forest, xgboost, decision-trees
The Deep Learning With Keras Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Stars: ✭ 34 (-98.17%)
Tensorflow Ml Nlp
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
Stars: ✭ 176 (-90.52%)
Orange3
🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+69.74%)
Data Science Complete Tutorial
For extensive instructor led learning
Stars: ✭ 1,027 (-44.7%)
2018 Machinelearning Lectures Esa
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Stars: ✭ 280 (-84.92%)
Machine Learning In R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Stars: ✭ 144 (-92.25%)
Mutual labels:  random-forest, xgboost, decision-trees
Predicting real estate prices using scikit Learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Stars: ✭ 78 (-95.8%)
Mutual labels:  random-forest, xgboost, decision-trees
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (-18.36%)
Eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+33.39%)
Mljar Supervised
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀
Stars: ✭ 961 (-48.25%)
Mutual labels:  random-forest, scikit-learn, xgboost
handson-ml
도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
Stars: ✭ 285 (-84.65%)
Mutual labels:  random-forest, scikit-learn, xgboost
linear-tree
A python library to build Model Trees with Linear Models at the leaves.
Stars: ✭ 128 (-93.11%)
Network Intrusion Detection
Machine Learning with the NSL-KDD dataset for Network Intrusion Detection
Stars: ✭ 119 (-93.59%)
Machine Learning With Python
Python code for common Machine Learning Algorithms
Stars: ✭ 3,334 (+79.54%)
Tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Stars: ✭ 8,378 (+351.16%)
Mutual labels:  random-forest, scikit-learn, xgboost
Rong360
用户贷款风险预测
Stars: ✭ 489 (-73.67%)
Mutual labels:  jupyter-notebook, xgboost
Hyperparameter Optimization Of Machine Learning Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Stars: ✭ 516 (-72.21%)
Mutual labels:  jupyter-notebook, random-forest
Selfdrivingcar
A collection of all projects pertaining to different layers in the SDC software stack
Stars: ✭ 107 (-94.24%)
Mutual labels:  jupyter-notebook, scikit-learn
H2o 3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Stars: ✭ 5,656 (+204.58%)
Mutual labels:  jupyter-notebook, random-forest
Handson Ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Stars: ✭ 23,798 (+1181.53%)
Mutual labels:  jupyter-notebook, scikit-learn
Hyperparameter hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Stars: ✭ 648 (-65.11%)
Mutual labels:  scikit-learn, xgboost
Python Machine Learning Book 2nd Edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Stars: ✭ 6,422 (+245.83%)
Mutual labels:  jupyter-notebook, scikit-learn
Deep learning projects
Stars: ✭ 28 (-98.49%)
Mutual labels:  jupyter-notebook, scikit-learn
Sklearn Bayes
Python package for Bayesian Machine Learning with scikit-learn API
Stars: ✭ 428 (-76.95%)
Mutual labels:  jupyter-notebook, scikit-learn
Mli Resources
H2O.ai Machine Learning Interpretability Resources
Stars: ✭ 428 (-76.95%)
Mutual labels:  jupyter-notebook, xgboost
Openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Stars: ✭ 536 (-71.14%)
Mutual labels:  scikit-learn, xgboost
Pytorch classification
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Stars: ✭ 395 (-78.73%)
Mutual labels:  jupyter-notebook, random-forest
Machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Stars: ✭ 5,984 (+222.24%)
Mutual labels:  jupyter-notebook, scikit-learn
Data Science Portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Stars: ✭ 559 (-69.9%)
Mutual labels:  jupyter-notebook, scikit-learn
Awesome Gradient Boosting Papers
A curated list of gradient boosting research papers with implementations.
Stars: ✭ 704 (-62.09%)
Mutual labels:  random-forest, xgboost
User Machine Learning Tutorial
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Stars: ✭ 393 (-78.84%)
Mutual labels:  jupyter-notebook, random-forest
Pythondatasciencehandbook
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
Stars: ✭ 31,995 (+1622.94%)
Mutual labels:  jupyter-notebook, scikit-learn
Crime Analysis
Association Rule Mining from Spatial Data for Crime Analysis
Stars: ✭ 20 (-98.92%)
Mutual labels:  jupyter-notebook, scikit-learn
Icon2017
Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'
Stars: ✭ 14 (-99.25%)
Mutual labels:  jupyter-notebook, scikit-learn
Python for ml
brief introduction to Python for machine learning
Stars: ✭ 29 (-98.44%)
Mutual labels:  jupyter-notebook, scikit-learn
Machinelearningcourse
A collection of notebooks of my Machine Learning class written in python 3
Stars: ✭ 35 (-98.12%)
Mutual labels:  jupyter-notebook, scikit-learn
Computer Vision
Computer vision sabbatical study materials
Stars: ✭ 39 (-97.9%)
Mutual labels:  jupyter-notebook, scikit-learn
Thesemicolon
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Stars: ✭ 345 (-81.42%)
Mutual labels:  jupyter-notebook, scikit-learn
Text Classification Benchmark
文本分类基准测试
Stars: ✭ 18 (-99.03%)
Mutual labels:  random-forest, xgboost
Prediciting Binary Options
Predicting forex binary options using time series data and machine learning
Stars: ✭ 33 (-98.22%)
Mutual labels:  jupyter-notebook, scikit-learn
The Hello World Of Machine Learning
Learn to build a basic machine learning model from scratch with this repo and tutorial series.
Stars: ✭ 41 (-97.79%)
Mutual labels:  jupyter-notebook, scikit-learn
Machine Learning
notebooks with example for machine learning examples
Stars: ✭ 45 (-97.58%)
Mutual labels:  jupyter-notebook, scikit-learn
Mlkatas
A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills
Stars: ✭ 58 (-96.88%)
Mutual labels:  jupyter-notebook, scikit-learn
Polyaxon Examples
Code for polyaxon tutorials and examples
Stars: ✭ 57 (-96.93%)
Mutual labels:  jupyter-notebook, scikit-learn
Fraud Detection
Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook
Stars: ✭ 58 (-96.88%)
Mutual labels:  jupyter-notebook, scikit-learn
Python Hierarchical Clustering Exercises
Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks
Stars: ✭ 62 (-96.66%)
Mutual labels:  jupyter-notebook, scikit-learn
Ds and ml projects
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-96.98%)
Mutual labels:  jupyter-notebook, scikit-learn
Data Science Cookbook
🎓 Jupyter notebooks from UFC data science course
Stars: ✭ 60 (-96.77%)
Mutual labels:  jupyter-notebook, scikit-learn
Text Analytics With Python
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Stars: ✭ 1,132 (-39.04%)
Mutual labels:  jupyter-notebook, scikit-learn
Sporf
This is the implementation of Sparse Projection Oblique Randomer Forest
Stars: ✭ 70 (-96.23%)
Mutual labels:  random-forest, decision-trees
Disease Prediction From Symptoms
Disease Prediction based on Symptoms.
Stars: ✭ 70 (-96.23%)
Mutual labels:  jupyter-notebook, scikit-learn
Mlatimperial2017
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Stars: ✭ 71 (-96.18%)
Mutual labels:  jupyter-notebook, scikit-learn
Allstate capstone
Allstate Kaggle Competition ML Capstone Project
Stars: ✭ 72 (-96.12%)
Mutual labels:  jupyter-notebook, xgboost
25daysinmachinelearning
I will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-97.15%)
Mutual labels:  jupyter-notebook, random-forest
Reproduce Stock Market Direction Random Forests
Reproduce research from paper "Predicting the direction of stock market prices using random forest"
Stars: ✭ 67 (-96.39%)
Mutual labels:  jupyter-notebook, random-forest
Ml Starter Pack
A collection of Machine Learning algorithms written from sctrach.
Stars: ✭ 72 (-96.12%)
Mutual labels:  jupyter-notebook, scikit-learn
Islr With Python
Introduction to Statistical Learning with R을 Python으로
Stars: ✭ 73 (-96.07%)
Mutual labels:  jupyter-notebook, scikit-learn
1-60 of 6387 similar projects