adaboost

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

python machine-learning numpy scikit-learn pandas randomforest adaboost knearest-neighbor-algorithm supervised-learning-algorithms

Updated Jul 25, 2017
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Riteshchawla10 / Ensemble-Techniques

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Classification problem using Ensemble Techniques

random-forest xgboost adaboost decision-trees gradient-boosting bagging-trees

Updated Oct 28, 2019
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Mariaorabi / HR-Analytics-Insights-Exploring-Employee-Factors-and-Organizational-Dynamics

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Investigate personnel elements influencing organizational dynamics by looking at HR analytics data using python and advanced machine learning models. Forecast employment status, estimate the period of termination, and maximize performance and satisfaction initiatives.

visualization python random-forest svm pca adaboost knn gradient-boosting

Updated May 5, 2024
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jiasheng9635 / Thalassemia_Prediction

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random-forest medical xgboost classification adaboost

Updated Feb 3, 2018
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Mariaorabi / Machine-learning-products-prediction

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This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.

python machine-learning random-forest prediction pca kmeans adaboost gmm knn kmeans-clustering prediction-model gradient-boosting visulization juypter-notebook

Updated Nov 19, 2023
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UzoigweC / EasyVisa

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Model for easy facilitation of visa processing and approvals

eda xgboost adaboost data-preprocessing gradient-boosting gridsearchcv business-insights stacking-classifier bagging-and-random-forest

Updated Mar 10, 2024
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sohrabrahimi / Finding-Potential-Donors

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In this project I use classification models to predict potential donors given a set of demographic factors.

classification logistic-regression adaboost svm-classifier finding-donors

Updated Aug 8, 2017
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rogerchenfz / WISER-CLUB

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Based on the powerful econometrics and statistical background and rich data science resources of School of Economics (SOE) and Wang Yanan Institute for Studies in Economics (WISE), Xiamen University, WISER CLUB is a data science mutual aid learning organization jointly organized by SOE and WISE graduate students and undergraduate students.

data-mining prediction pandas xgboost adaboost data-preprocessing sklearn-classify business-analytics random-forest-classifier

Updated Apr 16, 2020
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JuzerShakir / Finding-Donors-CharityML

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Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.

python udacity pandas donations supervised-learning charity adaboost letters gradient-boosting-classifier machine-learning-nanodegree scikitlearn-machine-learning machine-learning-engineering machine-learning-tutorials supervised-learning-algorithms model-tuning gridsearchcv finding-donors sgd-classifier charityml

Updated Oct 1, 2018
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shuoranly / Project_finding_donors

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为 CharityML 寻找捐助者

machine-learning data-mining notebook adaboost knn

Updated Sep 11, 2018
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andrewsunsanto / DSBAProject6

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6th Project for the Post Graduate Programme in Data Science and Business Analytics at the University of Texas at Austin - Model Tuning (GridSearchCV & RandomizedSearchCV)

xgboost logistic-regression adaboost decision-tree smote gradient-boosting boosting bagging random-forest-classifier gridsearchcv imblearn randomizedsearchcv makepiplines tomek-link-elimination

Updated Jul 23, 2021
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jodiambra / Interconnect-Telecom-Churn-Predictions

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The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.