Topic: emsembling Goto Github
Some thing interesting about emsembling
Some thing interesting about emsembling
emsembling,The Python code for solving a Regression problem for predicting optimum Health Insurance Cost for the Individual. Has through EDA and various Regressor models employed in the prediction. 1. Linear Regression 2. Lasso Regression 3. Elastic Net Regression 4. sklearn.tree.DecisionTreeRegressor 5. sklearn.ensemble.RandomForestRegressor 6. sklearn.neighbors.KNeighborsRegressor
User: bhuvaneshsingh80
emsembling,A face detection program in python using Viola-Jones algorithm.
User: donny-hikari
emsembling,Predict churning or not from the real-world data of a ridesharing app
User: liyouzhang
emsembling,The objective of this analysis was to use machine learning models to accurately predict credit risk.
User: lsuantah
emsembling,515k Hotel reviews classifier with bidirectional lstm
User: mesut-bilgin
emsembling,I developed a model to predict the severity of earthquakes in Kavrepalanchok. The purpose is to obtain the best model and depth for the prediction and to emphasize the various steps needed to build such a model.
User: ndabdulsalaam
Home Page: https://ndabdulsalaam.github.io/
emsembling,Built Random Forest and GBDT using XGBOOST model on Amazon fine food review dataset
User: niketan108
emsembling,Machine learning competition on kaggle
User: njainds
emsembling,ML algorithms
User: prajakta1321
emsembling,Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
User: zhanzecheng
Home Page: https://biendata.com/competition/sohu2018/
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