An open API service providing repository metadata for many open source software ecosystems.

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

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

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

Language: Jupyter Notebook - Size: 4.48 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

JuzerShakir/Forest_Cover-Type

Classifying Forest Cover type

Language: HTML - Size: 48.7 MB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 6

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).

Language: Jupyter Notebook - Size: 165 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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