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

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

📓 deepleaning and cv notes.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Machine Learning Tutorials in Python

A collection of notebooks of my Machine Learning class written in python 3

Computer vision sabbatical study materials

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Misc Statistics and Machine Learning codes in R

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Automatic machine learning for tabular data. ⚡🔥⚡

a sklearn wrapper for Google's BERT model

Solution of the Titanic Kaggle competition

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

notebooks with example for machine learning examples

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

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

I will update this repository to learn Machine learning with python with statistics content and materials

Code for polyaxon tutorials and examples

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Jupyter notebooks from the scikit-learn video series

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

InfiniteBoost: building infinite ensembles with gradient descent

REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

My blogs and code for machine learning. http://cnblogs.com/pinard

用户贷款风险预测

The "Python Machine Learning (2nd edition)" book code repository and info resource

A curated list of gradient boosting research papers with implementations.

Association Rule Mining from Spatial Data for Crime Analysis

Python package for Bayesian Machine Learning with scikit-learn API

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

brief introduction to Python for machine learning

Disease Prediction based on Symptoms.

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Start writing machine learning code in just 10 hours

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

H2O.ai Machine Learning Interpretability Resources

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.

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

This is the implementation of Sparse Projection Oblique Randomer Forest

🎓 Jupyter notebooks from UFC data science course

Introduction to Statistical Learning with R을 Python으로

Allstate Kaggle Competition ML Capstone Project

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

A collection of Machine Learning algorithms written from sctrach.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

🤖⚡️ scikit-learn tips

Credit Risk analysis by using Python and ML

Text Classification Algorithms: A Survey

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

The "Python Machine Learning (3rd edition)" book code repository

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