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30 search results found

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Machine Learning With Python ⭐ 2,980

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

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

General Assembly's 2015 Data Science course in Washington, DC

Linear Tree ⭐ 253

A python library to build Model Trees with Linear Models at the leaves.

Sklearn Compiledtrees ⭐ 219

Compiled Decision Trees for scikit-learn

Pyensemble ⭐ 145

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

A repository for recording the machine learning code

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.

Scikit Tree ⭐ 51

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

An algorithm for learning optimal decision trees, with Python interface

Algorithmic Trading ⭐ 46

Algorithmic trading using machine learning.

Sklearn Interpretable Tree ⭐ 42

Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)

Kdd99 Scikit ⭐ 41

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Decision Tree Id3 ⭐ 21

Machinelearning ⭐ 17

Implementations of machine learning algorithm by Python 3

Ibm Final Project Machine Learning ⭐ 14

Final project of IBM's course https://www.coursera.org/learn/machine-learning-wi on coursera

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Sklearn Oblique Tree ⭐ 13

a python interface to OC1 and other oblique decision tree implementations

Voice4rural ⭐ 12

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Early Im Fault Diagnosis ⭐ 11

🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees

Starboost ⭐ 11

⭐🚀 Gradient boosting on steroids

Forecasting Weather Using Machine Learning ⭐ 11

Forcasting Weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

Genetictree ⭐ 10

Constructing decision trees with genetic algorithm with a scikit-learn inspired API

Dos Attack Detection Using Machine Learning ⭐ 9

A machine learning program, that detects denial of service attack using machine learning technique.

Randomforests ⭐ 8

Random Forest Library In Python Compatible with Scikit-Learn

Machinelearning_exercises_python_scikit Learn ⭐ 8

Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き

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)

Nba Predictive Analytics ⭐ 7

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.

Woodpecker ⭐ 6

A python library used for tree structure interpretation.

Clarusway_machine_learning_course ⭐ 6

This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.

Cic Ids 2018 Intrusion Detection Classification ⭐ 6

Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the CIC IDS 2018 dataset for training Machine Learning network intrusion detection classifier models.

Tree Prompt ⭐ 6

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

Machine Learning Practice ⭐ 5

Repository containing introduction to scikit-learn to provide hands-on problem solving experience for all the methods and models learnt in MLT.

Career Track Data Scientist With Python ⭐ 5

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like pandas, NumPy, Matplotlib, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

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