Category Archives

Cost function in Logistic Regression

In the case of Linear Regression, the Cost function is – But for Logistic Regression, It will result in...

Cost function in Logistic Regression

In the case of Linear Regression, the Cost function is – But for Logistic Regression, It will result in...

Logistic Regression using Python

User Database – This dataset contains information of users from a companies database. It contains information about UserID, Gender,...

Logistic Regression using Python

User Database – This dataset contains information of users from a companies database. It contains information about UserID, Gender,...

Why Logistic Regression in Classification ?

Using Linear Regression, all predictions >= 0.5 can be considered as 1 and rest all < 0.5 can be...

Why Logistic Regression in Classification ?

Using Linear Regression, all predictions >= 0.5 can be considered as 1 and rest all < 0.5 can be...

Softmax Regression using TensorFlow

This article discusses the basics of Softmax Regression and its implementation in Python using TensorFlow library. What is Softmax...

Softmax Regression using TensorFlow

This article discusses the basics of Softmax Regression and its implementation in Python using TensorFlow library. What is Softmax...

Implementation of Polynomial Regression

Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent...

Implementation of Polynomial Regression

Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent...

Boston Housing Kaggle Challenge with Linear Regression

Boston Housing Data: This dataset was taken from the StatLib library and is maintained by Carnegie Mellon University. This...

Boston Housing Kaggle Challenge with Linear Regression

Boston Housing Data: This dataset was taken from the StatLib library and is maintained by Carnegie Mellon University. This...

Linear regression using Apache MLlib

Problem Statement: Build a predictive Model for the shipping company, to find an estimate of how many Crew members...

Linear regression using Apache MLlib

Problem Statement: Build a predictive Model for the shipping company, to find an estimate of how many Crew members...

Linear Regression using PyTorch

Linear Regression is a very commonly used statistical method that allows us to determine and study the relationship between...

Linear Regression using PyTorch

Linear Regression is a very commonly used statistical method that allows us to determine and study the relationship between...

A Practical approach to Simple Linear Regression using R

Simple Linear Regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative)...

A Practical approach to Simple Linear Regression using R

Simple Linear Regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative)...

Linear Regression Using Tensorflow

Linear Regression is a very common statistical method that allows us to learn a function or relationship from a...

Linear Regression Using Tensorflow

Linear Regression is a very common statistical method that allows us to learn a function or relationship from a...