An Approach for Choosing Number of Clusters for K-Means

The suggested approach considers the common trade-off between the inner-distances and the number of clusters- and automatically choose the number of clusters

When we use clustering algorithms, choosing the number of clusters is always a challenging task. While there are some existing approaches that can help with this task, they are usually being used separately in order to take the decision. …

Time Based Cross Validation

What happens when our data is not a time-series, but still have a time dimension which is very important? This is a Python solution for time-based cross-validation with all required inputs and an output matches scikit-learn methods.

Training and evaluating machine learning models usually require a training set and a test set. In most cases, train and test splitting is done randomly by taking 20% of the data as test data, unseen by the model and using the rest for training.

When dealing with time-related and dynamically…

Delivery Date Estimation

Technical challenges you can face when dealing with time-related and dynamically changing environments.