A/B testing is a commonly used methodology in eCommerce to test new features or products. This is a process of making data-driven decisions for user interface, marketing, and overall products. The main process is to split the users into the control group and experiment group. Then allot the existing products…
Recurrent neural networks (RNNs) are one of the states of the art algorithm in deep learning especially good for sequential data. It is used in many high-profile applications including Google’s voice search and Apple's Siri. The reason it became so popular is its internal memory. RNNs are the first deep…
Python’s Pandas library is the most widely used library in Python. Because this is the data manipulation library that is necessary for every aspect of data analysis or machine learning. Even if you are working on data visualization or machine learning, some data manipulation will be there anyway. …
Exploratory data analysis is very important to understanding a dataset properly. It is even important for machine learning. I have a few exploratory data analysis projects published before. But this time I am taking a big dataset. Let’s see how it goes.
The histogram is one of the most popular plots. It is useful to understand the overall distribution of a continuous variable. So, almost in any data analysis or exploratory data analysis, or machine learning project, you will start with some histograms. In this article, I will explain how to make…
Convolutional Neural Network is a great tool for Image classification. It can perform other artificial intelligence tasks as well. But this article will focus primarily on image recognition. I have a detailed article on how a forward pass of a Convolutional Neural Network works and also how to implement a…
Matplotlib is arguably the most popular visualization library in Python. Also, some other higher-end libraries are also built on Matplotlib. I have a few articles on Matplotlib visualization techniques. Please feel free to check them out. I have the links at the bottom of this page.
This article will focus…
The ‘tidyverse’ package in R is a very useful tool for data analysis in R as it covers almost everything you need to analyze a dataset. It is a combination of several big libraries that makes it a huge library to learn. In his article, I will try to provide…
Data visualization is probably the most widely used feature in data science for obvious reasons. Visualization is the best way to present and understand data. So, it is a good idea to have a lot of visualization tools in hand. Because different kind of visualization is appropriate in a different…
The Convolutional Neural Network (CNN) is a multi-layered neural network that is known to be able to detect patterns and complex features. It has been useful in face detection, self-driving cars, and a lot more very complex tasks. …
Graduated from Boston University with MS in Applied Data Analytics. Read my blog: https://regenerativetoday.com/
