The following program demonstrates How to Implement Gradient Descent Algorithm for Linear Regression. Problem Statement Implement the gradient descent algorithm for linear regression with one variable from scratch in vectorize form. Train a linear regression model using gradient descent to find the optimal coefficients (slope and intercept) for a given dataset. Also Plot the Gradient …
How to Implement Linear Regression from Scratch?
The following program demonstrates How to Implement Linear Regression from Scratch. Problem Statement Implement a linear regression with one variable algorithm from scratch using Python. Given a dataset of X and Y values, create a linear regression model that predicts Y based on X without using any machine learning libraries like sklearn. Solution The following …
How to Perform Dataset Preprocessing in Python?
The following article demonstrates How to Perform Dataset Preprocessing in Python. Basically, dataset preprocessing is a crucial step before training a machine learning model. For this purpose, we need to handle the missing values and the categorical data. Further, we need to split the dataset into training and test datasets. The following program demonstrates how …
30 MERN Stack Interview Questions and Answers
In this post I will discuss 30 MERN Stack Interview Questions and Answers. The MERN (MongoDB, Express.js, React, Node.js) stack is crucial in IT interviews because it assesses your proficiency in modern web development, JavaScript expertise, full-stack capabilities, database management with MongoDB, API development using Express.js, React skills for frontend development, and knowledge of Node.js …
What is Kruskal’s Algorithm and How Does it Work?
In this article, I will explain What is Kruskal’s Algorithm and How Does it Work. Kruskal’s algorithm is a greedy algorithm used to find the minimum spanning tree of a weighted, undirected graph. It works by initially sorting all the edges in the graph by their weights, and then adding edges to the minimum spanning …
What is Prim’s Algorithm and Does it Work?
In this article, What is Prim’s Algorithm and Does it Work. Prim’s algorithm is a greedy algorithm used to find the minimum spanning tree of a weighted, undirected graph. It works by selecting a starting vertex and growing the minimum spanning tree from this vertex by repeatedly adding the adjacent edge with the minimum weight …
What is Dijkstra Algorithm and How Does it Work?
In this article, I will explain What is Dijkstra Algorithm and How Does it Work. Basically, Dijkstra’s algorithm is a greedy algorithm used to find the shortest path between a source vertex and all other vertices in a weighted graph. It works by initially assigning a tentative distance to each vertex in the graph, which …
Understanding the Role of Activation Functions in Artificial Neural Networks (ANN)
In this article on Understanding the Role of Activation Functions in Artificial Neural Networks (ANN), I will describe several activation functions. Role of Activation Functions in Artificial Neural Networks Activation functions are crucial in artificial neural networks (ANNs). Because networks get non-linearity due to activation functions. In fact, without activation functions, ANNs would be nothing …
What is Bellman-Ford Algorithm and How Does it Work?
In this article, I will explain What is Bellman-Ford Algorithm and How Does it Work. Bellman-Ford algorithm is a dynamic programming algorithm used to find the shortest path between a source vertex and all other vertices in a weighted graph, even when the graph contains negative weight edges. The algorithm works by initially setting the …
What is Naive String Matching Algorithm and How Does it Work?
In this article, I will explain What is Naive String Matching Algorithm and How Does it Work. The Naive String Matching algorithm is a simple algorithm used to find all occurrences of a pattern string in a text string. It works by comparing the pattern string with all substrings of the text string, starting from …