Model selection refers to choose the best statistical machine learning model ... Continue reading
Data Science
Evaluate Model Performance – Loss …
The predictions that the model returns will be compared with the real ... Continue reading
Train-Test Datasets in Machine Learning …
Once we have cleaned the data and have selected the features from the data ... Continue reading
Feature Selection in Machine Learning …
Feature Selection is one of the core concepts in machine learning and has a ... Continue reading
Data Preprocessing in Data Science and M …
Data preprocessing is where data scientist spent most of their time. These ... Continue reading
What is Machine Learning? …
Machine Learning is the field which applies statistical analysis and ... Continue reading
Machine Learning with Python …
This tutorial provides a conceptual framework and practical insights to work ... Continue reading
Predictive Modelling: Comparing Model Re …
AUC for each model and their performance when we set probability cutoff at ... Continue reading
Predictive Modelling: Averaging Results …
Our final model is to combine the result of previous machine learning models ... Continue reading
Extreme Gradient Boosting in R …
Extreme Gradient Boosting has a very efficient implementation. Unlike SVM ... Continue reading
Random Forest Model in R …
Now, we will tune RandomForest model. Like SVM, we tune parameter based on ... Continue reading
Support Vector Machine (SVM) Model in R …
A support vector machine (SVM) is a supervised learning technique that ... Continue reading
Credit Risk – Logistic Regression …
To build our first model, we will tune Logistic Regression to our training ... Continue reading
Building Credit Risk Model …
The loan data typically have a higher proportion of good loans. We can ... Continue reading
Create a Function and Prepare Test Data …
When we build the model, we will need the same set of columns in the test ... Continue reading
Remove Dimensions By Fitting Logistic Re …
We will use the preProcess function from ... Continue reading
Data Cleaning in R – Part 5 …
Numeric Features Let’s look at all numeric features we have left. We ... Continue reading
Data Cleaning in R – Part 3 …
Default by States We take a look at default rate for each state. We ... Continue reading
Data Cleaning in R – Part 2 …
Attributes with Zero Variance Datasets can sometimes contain attributes ... Continue reading
Data Cleaning in R – Part 1 …
Discarding Attributes LendingClub also provides a data dictionary that ... Continue reading