Ramgopal Prajapat:

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Model Performance Statistics – Concordance: Calculation Steps Ram - Jun 19, 2020
In the blog, we will discuss one of the model performance statistics - Concordance. Concordance is commonly used model performance statistics in the industry.
Predictive Modeling: Framework & Approach Ram - Jun 19, 2020
In this blog, we aim to explain the broader steps involved in building predictive modeling using any of the machine learning methods. We will also illustrate key terminologies used within the predictive modeling project.
Multiple Linear Regression in Python: With an Example Ram - Jun 18, 2020
In this blog, we are building a Multiple Regression-based Machine Learning model for predicting house prices. We aim to cover two fundamental aspects – first showing steps involved in building a model and second explaining core concepts & statistics.
Concepts and Applications of Multiple regression Ram - Jun 18, 2020
In this blog, we aim to cover some of the fundamental questions data science aspirants ask. When do you use multiple regression techniques? What are a few real-life applications of the regression model? What is an overall approach to build the regression model? What is a methodology to estimate parameters? …