Sometimes we want to generate quick insights on only a portion of data from large datasets. Pivot table in Python comes in handy in such situations and helps us to extract the data we need and generate insights from the new data. Today we will be using the pivot table function present in Pandas. This […]
In today’s everyday newspaper we very often see histograms and pie charts explaining the stocks or finance or COVID-19 data. There is no doubt that histograms make our day-to-day life a lot easier. They help us to visualize the data at a glance and get an understanding of the data. In this article today we
This article is a little on the advanced side. We’ll discuss feature selection in Python for training machine learning models. It’s important to identify the important features from a dataset and eliminate the less important features that don’t improve model accuracy. Model performance can be harmed by features that are irrelevant or only partially relevant.
In this article, we’ll learn more about fitting a logistic regression model in Python. In Machine Learning, we frequently have to tackle problems that have only two possible outcomes – determining if a tumor is malignant or benign in the medical domain, or determining whether a student is admitted to a given university or not