Precision, Recall, and F Score Concepts in Details
Developing an efficient machine learning algorithm with a skewed dataset can be tricky. For example, the dataset is about fraudulent activities in the bank or cancer detection. What happens is…
Free Courses From Top Universities to Learn Machine Learning and Deep Learning
This is a trendy topic. Machine learning is the fastest-growing field today. The job market is skyrocketing. More and more universities are coming up with new courses. So many free…
Develop a K Mean Clustering Algorithm from Scratch in Python and Use It for Dimensional Reduction
What is K mean clustering? K means clustering is the most popular and widely used unsupervised learning model. It is also called clustering because it works by clustering the data.…
A Complete Beginners Guide to KNN Classifier
KNN classifier is a very popular and simple machine learning model. It’s a memory-based supervised machine learning model. What is a supervised learning model? I will explain it in detail.…
How To Develop A learning Curve To Improve A Machine Learning Algorithm
The learning curve is very useful to determine if an algorithm is working correctly and to improve the performance of an algorithm. It is useful to determine if an algorithm…
Build A Complete Neural Network in Python
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 popular in the…
How to Develop a Linear Regression Algorithm From Scratch in Python
The most basic machine learning algorithm has to be the linear regression algorithm. Nowadays, there are so many advanced machine learning algorithms, libraries, and techniques available that linear regression may…
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…