GitHub topics: modelselection

Repositories

ShovalBenjer/Power_Transform_Box-Cox_Supervised_ML

This project explores machine learning techniques, focusing on data preprocessing, model building, and evaluation. It includes data analysis, visualization, various algorithms, and performance comparison. Key topics: data cleaning, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.

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sehbakhan/Hackathon_xto10x

Develop a high-performance ML model to predict airline profitability and provide actionable insights for operational optimization.

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pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

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MvMukesh/models_in_production

Integrated robust and reliable ML Pipelines for Research and Production environment

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JonasRieger/ldaPrototype

Determine a Prototype from a number of runs of Latent Dirichlet Allocation.

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udhaya2823/Microsoft---Classifying-Cybersecurity-Incidents-with-Machine_Learning

🚨Microsoft: Classifying Cybersecurity Incidents with Machine Learning🔐 This project leverages the power of Machine Learning to classify cybersecurity incidents 🚨, improving the efficiency of Security Operation Centers (SOCs) at Microsoft. We train a model to predict incident grades, helping analysts prioritize threats with precision🎯.

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fabiusspop/ML

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ZoeyPortfolio/Premature-Mortality

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williakn3/Machine-Learning-Project--2

Machine Learning Project

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manujbsharma/Credit_Card-Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions using machine learning models.

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pramodyasahan/model-selection

This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.

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Dineshkumar56/Department-Wide-Sales-Prediction

We have been given historical sales data for 45 stores situated in various regions. Each store comprises multiple departments, and our objective is to forecast sales for each department within these stores.

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trbKnl/sparseWeightBasedPCA

An R package for regularized weight based SCA and PCA

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sghosh89/BIVAN

This repo is for copula based analysis on bivariate as well as multivariate data sets in ecology and related fields. For details and citation we refer to this publication: Ghosh et al., Advances in Ecological Research, vol 62,pp 409, 2020

Language: R - Size: 12 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

ashishyadav24092000/Accuracy_confusionMAtrix_logisticRegression

It calculates the accuracy score and confusion matrix for a logistic regression model. The dataset is about coupon used or not in an apparel store known as Simmons .

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ashot-gimishyan/ML-MIPT

Open Machine Learning course at MIPT

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indradhar/Football-Player-Price-Prediciton

Predicting the price of a football player using Machine Learning Algorithms

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anjalisilva/mixMVPLN

R Package to Perform Clustering of Three-way Count Data Using Mixtures of Matrix Variate Poisson-log Normal Model With Parameter Estimation via MCMC-EM, Variational Gaussian Approximations, or a Hybrid Approach Combining Both.

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pankjsalunkhe/Data-Science-Project

End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.

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AvaACook/Bank_Fraud_Predictive

Model to predict fraudulent bank applications using a large Kaggle dataset

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Tanmoy9563/Treue_Technologies

This is about Treue Technologies Data science Internship tasks.

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chrisborges/Model_selection

A dredge function to select the best models through an exhaustive combination of parameters.

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noahdufresne/Machine_Learning_Portfolio

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Keerthiraj-Nagaraj/ML4SCI-hackathon-project

ML4SCI hackathon NMR spin challenge winning project. Training machine learning models for multi-target regression problem.

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TelRich/GOT_Character_Death_Prediction

This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.

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VishalP227/uci-mushroom-dataset

Machine Learning project based on UCI mushroom dataset

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alaminbhuyan/Machine-Learning-Metrics

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alairdata/Prediction-of-Cancer-Types-using-Gene-Expession

This has been a machine learning quest to classify cancer types using gene expression data, utilizing powerful tools and techniques to preprocess, train and evaluate models. The ultimate goal, to save lives through early diagnosis with high accuracy and precision.

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alairdata/CO2-Emissions-Prediction-Model

This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.

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Related Keywords

modelselection 36 machine-learning 13 feature-engineering 10 python 7 classification 6 logistic-regression 5 data-science 5 pandas 5 hyperparameter-tuning 5 machine-learning-algorithms 5 regression 5 datapreprocessing 4 matplotlib 4 feature-selection 4 sklearn 4 smote 3 clustering 3 linear-regression 3 scikit-learn 3 numpy 3 accuracy-score 3 supervised-learning 3 regression-models 3 data 3 datascience 2 matplotlib-pyplot 2 dimensionality-reduction 2 random-forest 2 seaborn 2 eda 2 warnings 2 classificationreport 2 hyperparameter-optimization 2 confusion-matrix 2 visualization 2 modelevaluation 2 prediction 2 neural-networks 2 nlp 2 r 2 random-forest-classifier 2 ml4sci-hackathon 1 decision-trees 1 descriptive-statistics 1 featureextraction 1 featurescaling 1 regression-analysis 1 knn 1 labelencoding 1 dredge 1 xgboost 1 svm 1 mechine-learning 1 one-hot-encoding 1 lgbmclassifier 1 restful-api 1 roc-curve 1 count-data 1 data-simulation 1 matrix-variate-distributions 1 mcmc-em 1 mixture-models 1 model-based-clustering 1 stan 1 variational-gaussian 1 accuracy 1 cleaning-data 1 deployment 1 model 1 readingdatasets 1 streamlit 1 webpage 1 bigdata 1 predictive 1 business 1 dataanalytics 1 catboost-classifier 1 heatmap 1 modelbuilding 1 upsampling 1 knn-classifier 1 metrics 1 support-vector-classifier 1 seaborn-plots 1 ann 1 association-rule-learning 1 catboost 1 cnn 1 logisitic-regression 1 natural 1 reinforcementlearning 1 pca-analysis 1 hacktoberfest 1 pmdarima 1 sarimax 1 time-series 1 gaussian-processes 1 lyman-alpha 1 lyman-forests 1 nmr-spin-challenge 1

GitHub topics: modelselection

jibanCat/gp_dla_detection Fork of rmgarnett/gp_dla_detection