sayaliwangane/INTELLIGENT-CAREER-GUIDANCE-SYSTEM

Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.

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Rajani1-tech/Heart-Disease-Prediction

Examine each feature in the dataset & how they relate to one another. Main aim is to determine whether a person is likely to experience a Savior cardiac problem or not.

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lachhebo/clusterbagging 📦

A Python Package to do cluster bagging

Language: Python - Size: 166 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0

ZeeshanKhalid2k01/Bagging

Bagging is the term from "Bootstrap Aggregation Algorithm", That is for Low Bias & Low Variance

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anubhavshrimal/SML-Malaria-Detection

Compare Naive Bayes, SVM, XGBoost, Bagging, AdaBoost, K-Nearest Neighbors, Random Forests for classification of Malaria Cells

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caldi99/Learning-From-Network-Project

Language: Python - Size: 8.96 MB - Last synced: 12 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

ysh329/awesome-deep-learning-finetune-experience

This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.

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arijitiiest/Malaria-Detection

Malaria Detection Project on Malaria Cells

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Rumit95/P2P-Loans

This Project is Dataquest's Monthly Challenge. Data is from year 2007-2019.

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Gurudev333/Loan_Prediction_by_ensemble_machine_learning_techniques

Used ensemble methods such as boosting, voting, Bagging

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Rajani1-tech/Machine-Learning

Here! I have clearly outlined the machine learning techniques and executed projects that illustrate how those algorithms operate on real-world projects.

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Arminkhayati/Machine_learning_lec

My Machine Learning course projects

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anandanraju/Monkey_Pox_Classification_Model-

This Prediction is a research analysis process on data using classification algorithms to compare the accuracy rate for each algorithm given below on this Monkey Pox data such as ( K-Neighbors Classifier, RandomForest Classifier, AdaBoost Classifier, Bagging Classifier, Gradient Boosting Classifier, Decision Tree Classifier )

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chawla201/Airplane-Accident-Severity-Prediction

Ensemble Learning | Flask

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thieu1995/mealpy-text-classification

Text classification with Machine Learning and Mealpy

Language: Python - Size: 1.66 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

maz2198/Machine-Learning

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Machine Learning courses

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JoenHo/grocery-bagging

Language: Python - Size: 6.97 MB - Last synced: about 1 year ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

samapatil1729/Machine-Learning-techniques

Machine Learning Techniques

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anubhavshrimal/Quick-Draw

Implementation of Google Quick Draw doodle recognition game in PyTorch and comparing other classifiers and features.

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alsgkals2/Ensemble_classification

Ensemble_classification

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showman-sharma/Personal-loan-data-prediction

Predicting if a customer will take a personal loan or not, from customer behavior information such as age, income, credit card usage, etc.

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W-Mrt/Machine-Learning-for-Computational-Physics Fork of Melikakmm/Machine-learning-projects

Machine learning applications

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sun1638650145/classicML

简单易用的经典机器学习框架

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abhijit57/Microbes-Classification

Hackathon conducted by Dphi: https://dphi.tech/challenges/207/overview/about

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ZeroOnePro/Machine-Learning-and-Data-Mining

기계학습및데이터마이닝 과목 프로젝트 및 과제 모음입니다

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tadowney/ta_activities

Machine Learning Jupyter notebook exercises created as a TA at Santa Clara University

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ZeroOnePro/Machine-Learning

Machine learning 스터디 / 프로젝트

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SantisWorkshop/Fraud_Detection

In this project we use tree-based methods to detect fradulent online transactions using the data here:

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rafaelvareto/HPLS-HFCN-openset

Paper: Towards Open-Set Face Recognition using Hashing Functions (IJCB'17)

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kpetridis24/machine-learning-intro

Introductory project to Linear Models, Decision Trees and Ensemble Methods

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angeloruggieridj/Ensemble-Learning-Cancer

Python Notebook for Ensemble Learning on Wisconsin Breast Cancer Database

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UnixJunkie/orrandomForest

OCaml wrapper to the R randomForest package

Language: OCaml - Size: 374 KB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 3 - Forks: 0

UnixJunkie/orf

OCaml Random Forests

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RiccardoSpolaor/Predict_Winner_2020_Australian_Open

A machine learning project in Python to predict the 2020 Australian Open Winner

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kalthommusa/Udacity-Intro-to-ML-with-TensorFlow

This repository contains my collections of labs' notebooks from Udacity's Intro to ML with TensorFlow.

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codekhal/Inshorts-NLP

Analysed syntax and Semantics of Corpus of Text Documents Retrieved from Web Scraping of News articles from Inshorts and followed the Standard NLP Workflow of the CRISP-DM model.

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izzypatrick21/model-bagging

bagging a model

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pixel-z/Classification

Implementation of different classification techniques such as decision trees, knns and ensemble learning on Earthquake Data

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nbegumc/Supervised-Learning-Methods-Applied-to-Heart-Failure-Clinical-Records

Exploratoy Data Analysis,Logistic Regression,Penalized Logistic Regression (LASSO), LDA, Decision Trees, Bagging, Random Forest

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MingyiXia9717/STAT228_randomforest_project

Group project during STAT 228 (Multivariate Data Analysis)

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ranbm/bagging-and-hyperparameter-tuning

bagging and hyperparameter tuning on spam vs not spam dataset

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lajobu/Renfe_pred_avg_price

Prediction of the average price of the Spanish rail tickets data

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amit0902/Classification

Logisitc Regression - A Binary Classification Method

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cserajdeep/Cosine-Diversity

Cosine Diversity

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harper-he/Python

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SoniSiddharth/ML-Decision-Trees-from-scratch

Machine Learning - Decision tree model implementation from scratch

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hebaabdelwhab/MobileStoreApp

Language: Python - Size: 15.2 MB - Last synced: over 1 year ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

SamuelSousaFerreira/Curso-Dominando-Data-Science---Flai

Aulas do curso Dominando Data Science da Flai.

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kaushikmanikonda/Industrial-Data-Analytics-and-Machine-Learning_ISEN_613

Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)

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DataEngel/Heart-Disease-UCI---Classification

It is a subset of variables from a study carried out in 1988 in different regions of the world to predict the risk of suffering a heart-related disease.

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StringsLi/ml_scratch_scala

machine learning scala

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achyutb6/grid-search-cv

Optimising parameters for multiple machine learning algorithms using grid search cv

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armanr99/DecisionTree

An implementation of Decision Tree and Random Forest using sklearn library

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SohelRaja/Ensemble-Classifier-Model

Implementation of Ensemble Learning, Decision Tree, Random Forest, SVM, KNN, Logistic Regression, Bagging, Boosting and Stacking approach to analysis and predict the abnormal and normal behavior of Imbalanced Colon Dataset.

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SteliosGian/Predicting-Employee-Attrition

Size: 4.88 KB - Last synced: about 1 year ago - Pushed: about 5 years ago - Stars: 1 - Forks: 0

jddeguia/anomaly-detection-bagging-mlp

This repository is related to my another repository (https://github.com/jddeguia/energy-output-profiling)

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shamil-t/sentiment-analysis-using-python-IMDB-

Sentiment Analysis is to find the perspective ,view ,attitude or feeling of a speaker on a particular topic, event or interactionBasicaly its the analysis of an emotionally cahrged text. Here we try to analyzethe reviewsposted by people at Imdb. Further the reviews are processed analyzed using machine learning procedures, algorithms and other related aspets.

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Aujasvi-Moudgil/Ensemble-Learning

Ensemble Learning Methods using Python

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sharika-anjum/Machine-Learning-algorithms

Algorithms from scratch to know how the algorithms work.

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Shrsh/UCI--Adult-Data-Set

Random Forests on Income classification

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RachanaJayaram/House-Votes-Classifier

Implementing a naive bayes classifier from scratch with k-fold validation and randomized boosting to classify house votes data .

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Develop-Packt/Creating-Ensemble-Models-with-Python

Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers.

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Abonia1/ML_Algo

Can find example code to know how different ml algorithm like SVR,RF,XGBoost etc are applies in real time

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lev1khachatryan/ASDS_ML

Applied Statistics and Data Science: Advanced machine learning course

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Mickey0521/Examples-of-AlexNet-GoogLeNet-ResNet-and-Bagging

Examples of AlexNet, GoogLeNet, ResNet, and Bagging

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rafaelvareto/HPLS-verification

Paper: Face Verification based on Relational Disparity Features and Partial Least Squares Models (SIBGRAPI'17)

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saichandrareddy1/Ensemble-Learning

Language: Jupyter Notebook - Size: 12.7 KB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 1 - Forks: 0

abvnithish/Kaggle_HousingPricePrediction

Competition: https://www.kaggle.com/c/house-prices-advanced-regression-techniques

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ViktorC/OSML

A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.

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N3ll/Boosting-and-bagging

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WajdiBenSaad/Tree_Based_Models

All (almost) tree models. reference Repo with ready to use codes and functions

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derzu/RotationForest

Implementation of the Rotation Forest Algorithm from paper from Kuncheva and Rodríguez, 2016.

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ReydVires/ensemble-learning

Bagging with Naive Bayes, Machine Learning

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guhjy/bagging-in-R Fork of amunategui/bagging-in-R

Companion code for http://amunategui.github.io/bagging-in-R/

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zutshianand/Titanic-Dataset

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betacord/Ensembles

Implementation of popular ensembles methods in C++

Language: CMake - Size: 1.06 MB - Last synced: 12 months ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

kyz128/kickedCar

ML Side Project: decision tree classifier written from scratch

Language: Python - Size: 5.05 MB - Last synced: over 1 year ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

jieliang/prioritizing_shelter_animals_for_adoption

Python code using supervised learning to prioritize shelter animals by their probability of getting adopted to maximize the rate of adoption.

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tprateek287/machine-learning-assignments

Second: Machine Learning Assignments (INFX 574), University of Washington

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nandadeepd/decision-trees-carseat

A decision tree implementation for the carseat sales dataset from Kaggle.

Language: Python - Size: 38.1 KB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 1

cschen1205/cs-ensembles

Ensembles method implemented in C#

Language: C# - Size: 3.47 MB - Last synced: 24 days ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

cryptomanic/ML-using-Python

Implementation of basic ML algorithms in Python a.w.a in R (don't go by the name of the repository)

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projectssByCoders/MLClassifiersComparison

Given project compares various machine learning classifiers and provides their results on car dataset of UCI Machine learning library.

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BraulioV/Machine-Learning

Machine Learning exercises for my subject of Machine Learning at University of Granada (UGR).

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macholan/donation-prediction

Binary classification to predict donor vs. non-donor & regression to prediction donation amount. Logistic regression, QDA, LDA, Random Forests, SVMs, Bagging, Boosting, Ridge Regression

Size: 1.3 MB - Last synced: over 1 year ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0