Topic: partial-dependence-plot Goto Github
Some thing interesting about partial-dependence-plot
Some thing interesting about partial-dependence-plot
partial-dependence-plot,Predicting product recommendation score using the data available on the website of the client
User: akshatsinghal92
partial-dependence-plot,Contains analysis of Lyft ride attributes and how it affects demand surge in the city of Boston.
User: andrewlee977
Home Page: https://andrew-lee97.medium.com/lyft-demand-surge-predictor-c6be675c539f
partial-dependence-plot,In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
User: archd3sai
Home Page: https://churn-prediction-app.herokuapp.com/
partial-dependence-plot,Partial dependence plot tool
User: attilalr
partial-dependence-plot,Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
User: bgreenwell
Home Page: https://bgreenwell.github.io/MLDay18/MLDay18.html#1
partial-dependence-plot,A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
User: bgreenwell
Home Page: http://bgreenwell.github.io/pdp
partial-dependence-plot,Complex odor analysis and interpretation
User: dlt3
partial-dependence-plot,Trained a classifier by using labeled data and oversampling and undersampling techniques to predict if a borrower will default on a loan. The model is intended to be used as a reference tool to help investors make informed decisions about lending to potential borrowers based on their ability to repay. The purpose is to lower risk & maximize profit.
User: jianninapinto
partial-dependence-plot,Variable Importance Plots (VIPs)
Organization: koalaverse
Home Page: https://koalaverse.github.io/vip/
partial-dependence-plot,Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
User: ksharma67
partial-dependence-plot,The goal of SHAP is to explain the prediction of an instance x by computing the contribution of each feature to the prediction. The SHAP explanation method computes Shapley values from coalitional game theory. The feature values of a data instance act as players in a coalition.
User: ksharma67
partial-dependence-plot,Predict churning or not from the real-world data of a ridesharing app
User: liyouzhang
partial-dependence-plot,Data Mining Final Project
User: maggie0927
partial-dependence-plot,Data Science Case Study
User: mcarpanelli
partial-dependence-plot,Meta-analysis of the rodent object-in-context task
User: mscsep
partial-dependence-plot,Meta-analysis of learning and memory in PTSD
User: mscsep
partial-dependence-plot,This project contains the data, code and results used in the paper title "On the relationship of novelty and value in digitalization patents: A machine learning approach".
User: nilsdenter
partial-dependence-plot,Python package to visualize and cluster partial dependence.
Organization: nyuvis
partial-dependence-plot,This project aims to study the influence factors of international students' mobility with the case of international students from B&R countries studying in China.
User: peijin0405
partial-dependence-plot,Kaggle kernels and the respective implementations of ML procedures.
User: soulbliss
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