Simulation study for evaluating different imputation methods

A loja de moda InStyle é uma grande loja de roupas, mas enfrenta desafios significativos em relação à experiência do cliente. Em vista disso, a InStyle montou uma equipe com a tarefa de treinar um algoritmo para classificar os clientes em satisfeitos e insatiseitos a fim de agir rápido e reverter a situação.

When signaficant amount of data are missing, what can we do? Impute the missing data with mean or median? Actually, Scikit-Learn provides two powerful imputers, KNNImputer and IterativeImputer, which can do this work effectively.

Built a model to determine the risk associated with extending credit to a borrower. Performed Univariate and Bivariate exploration using various methods such as pair-plot and heatmap to detect outliers and to monitor the behaviour and correlation of the features. Imputed the missing values using KNN Imputer and implemented SMOTE to address the i…

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

Разработка алгоритма привлечения новых клиентов банка

while we load the dataset we get some missing values from dataset. so to replace the missing values we use a technique in Machine Learning called Imputation. Imputation --- 1. SimpleImputer 2.KNNImputer

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

Data Preprocessing - PCA

Initial data analysis for an artificial intelligence bootcamp project