In continuation of my previous article, this one will cover the Prepare phase of the data analytics process. This is the second phase of the 6-phase process of any data analytics project. After defining a problem and a problem statement of a business case, the next step is to prepare…

The most common method to gather data is by asking someone. This is precisely where the data analytics process starts. The ask phase of the data analytics process is simple yet powerful. Let’s see how it works! In my previous article, I covered the overview of the data analytics process…

Did you know that 2.5 quintillion bytes of data is created every day? If not, this is just the tip of the iceberg. We are producing data at an accelerated pace each passing year. Data has become the new wealth in today’s Big Data era. Its not the one who…

Hi there! if you are a beginner or even an experienced professional in Machine Learning (ML)/Deep Learning (DL), you would have come across the terms parameters and hyperparameters. Ever wondered what those are? let's find out! Hyperparameters So before diving into the technical stuff, let's take an example. When we play…

Gradient Descent is one of the most widely used optimization algorithms out there. Ease of understanding and the its applicability to various ML algorithms makes it an attractive choice. How does it work though? Let’s find out! We will go through various sections mentioned below to understand this algorithm. By…

In the current age of big data, security has become a vital part. Few years back security was not shed any light upon. But times have changed and people have become more cautious and conscious about their online activity and security. If you are a person who doesn't live under…

In this article we will answer few basic questions in Machine Learning(ML) for beginners to get started! This article is meant to be concise for quick reference. 1. What is Machine Learning? The formal definition of Machine Learning is as follows Machine learning is the science of getting computers to act without being explicitly programmed …

One of the key problems every machine learning model faces is the problem of over-fitting. So what is over-fitting and how do we minimize it? What is Regularization? By the end of the article, you will be clear with these concepts. To understand these concepts we will have to answer…

Neural Networks (NN) is one of the most widely used concepts today in the world. Neural Networks are also known as Artificial Neural Networks(ANN). So what are these concepts and how do they work? Continue Reading! Artificial Neural Networks or better known as Neural Networks is defined as follows Neural…