Model Compression Techniques – Machine Learning

3 years ago

In recent years, there has been an explosion of interest in machine learning (ML). This is due in large part…

What are Features in Machine Learning?

3 years ago

Machine learning is a field of machine intelligence concerned with the design and development of algorithms and models that allow…

K-Nearest Neighbors (KNN) Python Examples

3 years ago

If you're working with data analytics projects including building machine learning (ML) models, you've probably heard of the K-nearest neighbors…

Role of Data in Digital Transformation

3 years ago

In order to understand the role of data in digital transformation, it is important to first understand what digital transformation…

How to Identify Use Cases for AI / Machine Learning

3 years ago

As artificial intelligence (AI ) and machine learning (ML) solutions and technologies continue to evolve, more and more businesses are looking…

Predicting Customer Churn with Machine Learning

3 years ago

Customer churn, also known as customer attrition, is a major problem for businesses that rely on recurring revenue. Customer churn…

Stacking Classifier Sklearn Python Example

3 years ago

In this blog post, we will be going over a very simple example of how to train a stacking classifier…

Decision Tree Hyperparameter Tuning Grid Search Example

3 years ago

In this blog post, we will tune the hyperparameters of a Decision Tree Classifier using Grid Search.  In machine learning,…

Reinforcement Learning Real-world examples

3 years ago

 In this blog post, we'll learn about some real-world / real-life examples of Reinforcement learning, one of the different approaches to…

Passive Aggressive Classifier: Concepts & Examples

3 years ago

The passive aggressive classifier is a machine learning algorithm that is used for classification tasks. This algorithm is a modification…