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alifrmf / Mobile-Price-Prediction-Classification-Analysis

Supervised Machine Learning Analysis Using Classification Models

python data-science random-forest svm exploratory-data-analysis machine-learning-algorithms supervised-learning xgboost hyperparameter-optimization classification ensemble-learning adaboost preprocessing decision-trees gradient-boosting voting-classifier mobile-price-prediction bagging-ensemble boosting-ensemble pruning-optimization

Updated Jul 10, 2023
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MahaThafar / DTi2Vec

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This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble learning

machine-learning cheminformatics drug-repurposing node2vec-embeddings boosting-ensemble

Updated Sep 28, 2021
Python

somjit101 / Facebook-Friend-Recommendation

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This is a friend recommendation systems which are used on social media platforms (e.g. Facebook, Instagram, Twitter) to suggest friends/new connections based on common interests, workplace, common friends etc. using Graph Mining techniques. Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media plat…

machine-learning graph graph-algorithms social-network cross-validation xgboost graph-theory decision-trees social-network-analysis decision-tree-classifier gradient-boosting graph-similarity randomizedsearchcv bagging-ensemble boosting-ensemble facebook-friend-recommendation

Updated Feb 15, 2024
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wiegertj / EBG

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Tool for estimating the Felsenstein bootstrap support of phylogenetic trees

phylogenetics phylogenetic-analysis boosting-ensemble

Updated Nov 6, 2024
Python

QuyAnh2005 / homemade-machine-learning

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Understand and code some basic algorithms in machine learning from scratch

python machine-learning algorithms random-forest naive-bayes linear-regression scikit-learn machine-learning-algorithms pca logistic-regression support-vector-machine theory decision-tree gradient-boosting k-means-clustering random-forest-algorithm implementation-from-scratch bagging-ensemble boosting-ensemble

Updated Mar 29, 2023
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NourKamaly / AirlineTicketPricePrediction

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First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities

data-science machine-learning random-forest p-value feature-selection feature-extraction data-analysis ensemble-learning feature-engineering powerbi regression-models discrete-cosine-transform college-project heroku-deployment time-series-forecasting classification-models boosting-ensemble

Updated Oct 20, 2022
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prneidhardt / Ensemble-Learning

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EasyVisa Project

stacking-ensemble bagging-ensemble boosting-ensemble

Updated Nov 11, 2024
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shubhamsawant0601 / Machine_Learning

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Repository of explaination and python codes with Scikit-Learn for different ML algorithms.

machine-learning random-forest clustering svm naive-bayes machine-learning-algorithms xgboost hyperparameter-optimization cart adaboost knn bagging-ensemble boosting-ensemble

Updated Jul 9, 2022
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ligerfotis / CSE6363_Machine_Learning

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Machine Learning algorithms from-scratch implementation. It covers most Supervised and Unsupervised algorithms. Homework assignments and Projects for graduate level Machine Learning Course taught by Dr Manfred Huber at UTA during Spring 21

clustering ensemble-learning decision-trees support-vector-machines knn-classification logistic-regression-algorithm perceptron-learning-algorithm dendrogram poisson-regression logistic-regression-scratch linear-regression-scratch neural-network-from-scratch bagging-ensemble boosting-ensemble gaussian-naive-bayes-classification

Updated May 2, 2021
Python

Ayda-Darvishan / Tuning-ML-Classifiers

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The project includes building seven different machine learning classifiers (including Linear Regression, Decision Tree, Bagging, Random Forest, Gradient Boost, AdaBoost, and XGBoost) using Original, OverSampled, and Undersampled data of ReneWind case study, tuning hyperparameters of the models, performance comparisons, and pipeline development f…