Introduction I came across a new and promising Python Library for Time Series — Sktime. It provides a plethora of Time Series Functionalities like Transformations, Forecasting algorithms, the Composition of Forecasters, Model Validation, Pipelining the entire flow, and many more. In this article, we explore some features the library provides, the…

Abstract One can find numerous articles today on Explainable AI, some of which can be found here. The most standard guide for Explainable AI will undoubtedly be this book by Christoph Molnar. When I came across the recent paper Pitfalls to Avoid when Interpreting Machine Learning Models, I decided to write…

To statistically test if population proportions of two groups are significantly different. We get the data on which we will be testing the hypothesis. The data being considered here is the famous Titanic data-set which can be found on Kaggle. Importing the libraries: import numpy as np import pandas as pd import…