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What you will learn

☑ Regression Analysis

☑ Logistic Regression

☑ Ridge Regression

☑ Generalized Linear Model Or GLM Regression

Description

In this Spotle masterclass you will learn:

The predictive modeling, for a rewarding career in data science.

Techniques such as linear regression, logistics regression, ridge regression, GLM regression.

At the end of this course you will build predictive models in Python.

Data science and Python have become key industry drivers in the global job and opportunity market. This course with mix of lectures from industry experts and Ivy League academics will help students, recent graduates and young professionals learn predictive modelling and its applications in business scenarios using Python programming language.

What is predictive modelling?

Predictive modeling is a process that uses statistics, data mining and probability to forecast the future outcomes. Such as, let’s say, an EdTech company is trying to assess the market. They have a question. The market condition that they predict will decide their future investment area. Their question is, is the future of learning going to be self-paced online? As we apply predictive modelling techniques on the available data from the market the predictive outcome to this question is ‘Yes. The future of learning is going to be self-paced online’. Now the future will have the actual outcome. But the EdTech company will invest in this area as per this predictive outcome.

Content

Introduction

Introduction To Data Science

Introduction To Predictive Modelling

Linear Regression

Introduction To Linear Regression

Fit Linear Regression Model To Data

Model Complexity And Bias-Variance Trade-off

Variable Selection

Statistical Inference

Multicollinearity

Measures of Accuracy

Understanding Linear Regression With Python

Logistic Regression

Introduction To Logistic Regression

Likelihood Estimation

Statistical Inference

Measure Of Accuracy

Understanding Logistic Regression With Python

Ridge Regression

Ridge Regression Part - 1

Ridge Regression Part - 2

Generalized Linear Models

Generalized Linear Models

Understanding Generalized Linear Models With Python

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