List of Data Science Books to Read

Here is the list of recommended data science books for reading: Numsense! Data Science for the Layman: No Math Added by Annalyn Ng and...

Exclusive Talk with Dr. Zahra Timsah , CEO of American Medical Center Laboratories, LLC;...

Dr. Zahra Timsah holds a BSc, MSc and PhD in healthcare with focus on cancer therapy and drug discovery. She also holds...

A Few Things To Remember Before Going To Start a Data Science Course

Over the last few years, the data science domain has evolved exponentially. In present times, it has become the backbone of many...

21 Free Data Sets/ Projects for Data Science Beginners

We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails: 

Machine Learning without Negative Data: A New AI Move

RIKEN’s Centre for Advanced Intelligence Project made a breakthrough when they developed a way through which artificial intelligence could differentiate between...

Top Data Science Influencers To Follow on Twitter

1. Werner Vogels: Werner Hans Peter Vogels is the chief technology officer and vice president of Amazon in charge of driving technology innovation within...

Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

Introduction to Image Classification using Pytorch to Classify FashionMNIST Dataset

In this blog post, we will discuss how to build a Convolution Neural Network that can classify Fashion MNIST data using Pytorch on Google Colaboratory. The way we do that is, first we will download the data using Pytorch DataLoader class and then we will use LeNet-5 architecture to build our model. Finally, we will train our model on GPU and evaluate it on the test data.

Logistic Regression With A Real-World Example in Python

In this tutorial, You’ll learn Logistic Regression. Here you’ll know what exactly is Logistic Regression and you'll also see an Example...

Deep Learning with Keras – Part 6: Textual Data Preprocessing

Intro Congratulations for going far in this Keras tutorial. After working with numeric, categorical and image data, it is...
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