The Workflow of Neural Network: Forward Propagation and Backpropagation
The Neural Network has been developed to mimic a human brain. Though we are not there yet, neural networks are very efficient in machine learning. It was very popular in…
Logistic Regression From Scratch Using a Real Dataset
Logistic regression is a popular method since the last century. It establishes the relationship between a categorical variable and one or more independent variables. This relationship is used in machine…
Logistic Regression with Python Using An Optimization Function
Logistic regression is a powerful classification tool. It can be applied only if the dependent variable is categorical. There are a few different ways to implement it. Today I will…
Polynomial Regression From Scratch in Python
Polynomial regression in an improved version of linear regression. If you know linear regression, it will be simple for you. If not, I will explain the formulas here in this…
Multiclass Classification With Logistic Regression One vs All Method From Scratch Using Python
In this article, learn how to develop an algorithm using Python for multiclass classification with logistic regression one vs all method described in week 4 of Andrew Ng’s machine learning…
Basic Idea of Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)
Recurrent Neural Network (RNN) Say, you live in an apartment where you got lucky enough to get a roommate who makes dinner every night. He makes either of these three…
Neural Network Basics And Computation Process
Neural networks are pretty old algorithms for machine learning, developed originally with the idea to mimic human brain. For sure, human brain has the best learning mechanisms we know. If…
Logistic Regression With Python and Scikit-Learn
Logistic regression is one of the most widely used classification algorithms. In one of my previous blogs, I talked about the definition, use and types of logistic regression. In this…
Logistic Regression: Types, Hypothesis and Decision Boundary
The term logistic regression can be deceptive. Because Actually it is classification model. We use logistic regression to solve problems like: Emails are spam or not. Online transactions are: fraudulent…
Machine Learning: Gradient Descent Concept
Gradient descent is a very important parameter in machine learning. Gradient descent is used to minimize different functions. In machine learning it is used to update important parameters. The goal…