• No products in the cart.

Cross Validation

12

Mar'17

204.4.12 Bootstrap Cross Validation

Link to the previous post : https://statinfer.com/204-4-11-k-fold-cross-validation/   This will be our last post on our Model Selection and Cross Validation …

Read More

12

Mar'17

204.4.11 K-fold Cross Validation

Link to the previous post : https://statinfer.com/204-4-10-cross-validation/ Ten-fold Cross – Validation Divide the data into 10 parts(randomly) Use 9 parts …

Read More

12

Mar'17

204.4.10 Cross Validation

Link to the previous post : https://statinfer.com/204-4-9-model-bias-variance-tradeoff/ Cross Validation We always build and train a model with a training dataset. …

Read More

10

Mar'17

204.4.1 Model Section and Cross Validation

Building a model is not that difficult. However, tuning the model and checking if the model is working as we …

Read More

27

Jan'17

203.4.7 Cross Validation

Choosing Optimal Model In previous section, we studied about Model-Bias Variance Tradeoff Unfortunately there is no scientific method of choosing …

Read More

27

Jan'17

203.4.6 Model-Bias Variance Tradeoff

Model Bias and Variance In previous section, we studied about Type of Datasets, Type of Errors and Problem of Overfitting …

Read More

Statinfer

Statinfer derived from Statistical inference. We provide training in various Data Analytics and Data Science courses and assist candidates in securing placements.

Contact Us

info@statinfer.com

+91- 9676098897

+91- 9494762485

 

Our Social Links

top
© 2020. All Rights Reserved.