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74 search results found

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Machine Learning Specialization Coursera ⭐ 2,082

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

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

Python_tutorials ⭐ 1,140

Python tutorials in both Jupyter Notebook and youtube format.

Opencv Machine Learning ⭐ 770

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

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.

2018 Machinelearning Lectures Esa ⭐ 324

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Linear Tree ⭐ 253

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

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..)

100 Days Of Ml Code ⭐ 201

A day to day plan for this challenge. Covers both theoritical and practical aspects

Python_decision_tree_and_random_forest ⭐ 184

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Machine_learning ⭐ 183

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Machine_learning_algorithms_from_scratch ⭐ 164

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

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.

Machinelearning ⭐ 94

A repo with tutorials for algorithms from scratch

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.

Network Intrusion Detection ⭐ 85

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda ⭐ 85

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Expanding Explainable K-Means Clustering

I will implement Fastai in each projects present in this repository.

Predicting Diseases From Symptoms ⭐ 63

Training a decision tree to predict diseases from symptoms.

Exploring Machine Learning ⭐ 60

Machine learning algorithms implementation in python with references, and with sketchy explanations.

Interpreting Decision Trees And Random Forests ⭐ 53

Unwrapping decision trees and random forests to make them less of a black box

Scikit Tree ⭐ 51

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

25daysinmachinelearning ⭐ 48

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

The Deep Learning With Keras Workshop ⭐ 40

An Interactive Approach to Understanding Deep Learning with Keras

Distill Nn Tree ⭐ 40

Distillation of Neural Network Into a Soft Decision Tree

Perfect Guide About Machine Learning Study ⭐ 35

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

Anomaly Detection Iot23 ⭐ 34

A research project of anomaly detection on dataset IoT-23

Proglearn ⭐ 33

NeuroData's package for exploring and using progressive learning algorithms

Machine Learning Course at IIT Bhilai

Decision Trees For Ml ⭐ 27

Building Decision Trees From Scratch In Python

Breast Cancer Scikitlearn ⭐ 27

simple tutorial on Machine Learning with Scikitlearn

Incrementaltrees ⭐ 26

Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with Dask-ml's Incremental.

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Lectures On Machine Learning ⭐ 21

Repository contains reference material for Cybros Lecture Series on ML.

Machine Learning Techniques ⭐ 20

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

Decision Trees For Knowledge Discovery ⭐ 20

Understand and modelize the structure behind your data with Decision Trees

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)

Dsgo_introductionscikitlearn ⭐ 18

Machinelearning ⭐ 17

Implementations of machine learning algorithm by Python 3

Interpretable Ml ⭐ 17

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Amazon Fine Food Review ⭐ 16

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

Machine_learning_from_scratch ⭐ 15

Machine Learning models from scratch with a better visualisation

Supervised Machine Learning ⭐ 15

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

Predicting Baseball Statistics ⭐ 14

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

Optimal_classification_trees ⭐ 14

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

Ibm Final Project Machine Learning ⭐ 14

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

Snaplogic_snap_recommendation ⭐ 14

SnapLogic Snap Recommendation Workshop with Decision Trees and Deep Learning

Rule_extraction_from_trees ⭐ 14

A toolkit for extracting comprehensible rules from tree-based algorithms

Quick Data Science Experiments 2017 ⭐ 14

Quick-Data-Science-Experiments

Imodels Experiments ⭐ 13

Experiments with experimental rule-based models to go along with imodels.

The Supervised Learning Workshop ⭐ 13

An Interactive Approach to Understanding Supervised Learning Algorithms

Perceptron_2017_december ⭐ 12

Python Machine Learning Course

Df Dn Paper ⭐ 12

Conceptual & empirical comparisons between decision forests & deep networks

Deep Learning Algorithms Implementation ⭐ 11

Implementations of (Deep Learning + Machine Learning) Algorithms

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

Dtreeplt ⭐ 11

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Foia Online ⭐ 10

Analysis related to article on FOIA Online Database.

Projects ⭐ 10

This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Artificial neural networks for modeling lignin pyrolysis

In Depth Ml ⭐ 9

In depth machine learning resources

Decision Trees ⭐ 9

Classification Decision Trees

Artificial Intelligence And Machine Learning Fundamentals ⭐ 9

Get started with the development of real-world applications that are powered by the latest AI advances

Machine Learning Lecture Notes ⭐ 9

Lecture notes and codes for machine learning

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Iris_classification ⭐ 8

Iris classification with Python Scikit-learn 🌼

Machine_learning ⭐ 8

Best collection of machine learning & deep learning algorithms implemented from scratch using python.

Bike Shairing Demand Prediction ⭐ 8

Supervised Machine Learning (Regression)

Network Traffic Classification ⭐ 8

Bdt Tutorial ⭐ 7

Hands-on boosted decision tree tutorial (using XGBoost) for September 2017 Fermilab Machine Learning Group Meeting.

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)

Machine Learning For Opencv Supervised Learning ⭐ 7

Machine Learning for OpenCV - Supervised Learning , published by Packt

Human_resources_analytics Prediction ⭐ 7

Prediction of "left/stayed" employees using Decision Trees and more

Decision Tree And Random Forests ⭐ 7

Artificial Intelligence Course Projects S2023 ⭐ 7

AI course projects for problems like searching such as BFS, IDS and A*, genetic algorithms, Minimax tree, Naive bayes for classification, Machine Learning algorithms for anticipating price of houses and a Neural Networks by different approaches(from scratch, pytorch, keras)

Gender Voice Recognition_machine Learning ⭐ 6

Supervised Machine Learning Classification Algorithms using Python and R (Logistic Regression, Decision Tree, Random Forest, SVM)

Woodpecker ⭐ 6

A python library used for tree structure interpretation.

Onestep Electron Content ⭐ 6

Content for onestep-electron.github.io

Visualize Decision Tree ⭐ 6

Tree Prompt ⭐ 6

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

Exploratory_data_analysis_and_ml_projects ⭐ 6

Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.

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.

Exploring streaming options for decision trees and random forests. Based on scikit-learn fork.

Mobile Phones Price Prediction ⭐ 5

A set of different models, that can be used to predict price range of a mobile phone.

Stanford Machine Learning ⭐ 5

My solutions to the assignments in the Machine Learning Specialization offered by Stanford University on Coursera.

Text Classification Ml ⭐ 5

Application of various text classification algorithms on multiple datasets.

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.

Loan Default Prediction ⭐ 5

Loan Default Prediction Machine Learning Project

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

Forests Intro ⭐ 5

🌲🌳🌴 Trees and forests, machine-learning for the 99%. A 1hr introduction.

Spark_tree2lambda ⭐ 5

Python micro-service to serve a decision tree trained with Spark through AWS Lambda

Radial Plot for sklearn Decision Trees

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