Monthly Archives

SVM Hyperparameter Tuning using GridSearchCV

A Machine Learning model is defined as a mathematical model with a number of parameters that need to be...

SVM Hyperparameter Tuning using GridSearchCV

A Machine Learning model is defined as a mathematical model with a number of parameters that need to be...

Support Vector Machines(SVMs) in Python

Introduction to SVMs: In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with...

Support Vector Machines(SVMs) in Python

Introduction to SVMs: In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with...

Naive Bayes Classifiers

This article discusses the theory behind the Naive Bayes classifiers and their implementation. Naive Bayes classifiers are a collection...

Naive Bayes Classifiers

This article discusses the theory behind the Naive Bayes classifiers and their implementation. Naive Bayes classifiers are a collection...

Logistic Regression using Tensorflow

Brief Summary of Logistic Regression: Logistic Regression is Classification algorithm commonly used in Machine Learning. It allows categorizing data...

Logistic Regression using Tensorflow

Brief Summary of Logistic Regression: Logistic Regression is Classification algorithm commonly used in Machine Learning. It allows categorizing data...

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...