Can Python offer more than MS Excel for Data Science?

Data science has received a major shakeup when it comes to the tools that are commonplace in the industry. Microsoft Excel has...

14 Great Articles To Read About TensorFlow

First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For...

List Of Data Science Facebook Groups To Join in 2019

Here is the list of Facebook groups to join for Big Data/ Data Science International Data Science Study GroupData...

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...

Tensors: The building block of TensorFlow

TensorFlow uses tensor to define the framework and processing data. A tensor conceptualized multidimensions vectors and matrices. Mathematically, a tensor is a geometric object...

Understanding the Importance of Ethics and Security in Data Science

Benefits of data science The data science in modern times significantly define the lives of the individuals. We have...

Hierarchical clustering using R

Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that clusters similar data points into groups called clusters. The endpoint is a...

Will Machine Learning Enable Time Travel?

Traveling in time has always been a dream of mankind. Imagine being able to experience ancient Rome first hand or to...

Understanding the Four Types of Data Analytics

Data analytics can be a complex subject matter for many individuals, but it's very quickly growing into a necessary study for the...

Regression using Tensorflow and multiple distinctive attributes

As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into...