GitHub topics: adaboosting
Ohara124c41/MLND-Finding_Donors
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
Language: Jupyter Notebook - Size: 758 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

tezzytezzy/caravan-insurance-policy
Random Forest Classification
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30lm32/ml-forecasting-aws-spot-price
Forecasting AWS Spot Price by using Adaboosting on Rapidminer
Language: Shell - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 2

Manaliagarwal/Walmart-Sales-Forcasting
A regression based modeling project to forecast the sales of Walmart
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JuzerShakir/Forest_Cover-Type
Classifying Forest Cover type
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sachink1729/Tree-Based-Regression-Algorithms
This is my college practice work, where i try to learn and cover all the tree based regression algorithms (preferably in python).
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miguelangelnieto/Finding-Donors-for-CharityML
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
Language: HTML - Size: 212 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
