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
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
204.3.10 Pruning a Decision Tree in Python
Link to the previous post: https://statinfer.com/204-3-9-the-problem-of-overfitting-the-decision-tree Pruning Growing the tree beyond a certain level of complexity leads to overfitting. In …
Read More
204.2.1 Logistic Regression, why do we need it?
In this series we will try to explore Logistic Regression Models. For the starters we will do a recap of …
Read More
204.1.11 Interaction Terms
Link to the previous post : https://statinfer.com/204-1-10-practice-multiple-regression-with-multicollinearity/ This is the final post in our Linear Regression Series. This post is …
Read More
204.1.10 Practice : Multiple Regression with Multicollinearity
Link to the previous post : https://statinfer.com/204-1-9-issue-of-multicollinearity-in-python/ In this practice post we will build a Multiple Regression model and try to …
Read MoreRelated Courses
Tableau (Batch6)
PRIVATE 29
PowerBI (Batch6)
PRIVATE 28
SQL (Batch6)
PRIVATE 26
