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...

R k-means clustering and evaluation of the model

The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...

Regression using Tensorflow and Gradient descent optimizer

Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for...

Regression with Keras (Deep Learning with Keras – Part 3)

Regression After two introductory tutorials, its time to build our first neural network! The network we are building solves...

Eight Deep learning Software Libraries & Their Installation on Ubuntu

Among all other machine learning algorithms such as SVM, Decision tree, Genetic algorithms and others, Deep learning has been seen to acquire media attention....

Azure Machine Learning: The Future of Machine Learning in the Cloud

Microsoft Azure is a Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) solution created by Microsoft. Well, these days almost every next person...

Exploratory Data Analysis Tutorial: Analyzing the Food Culture of Bangalore

In this blog post, we will discuss how to perform exploratory data analysis by creating awesome visualizations using matplotlib and seaborn by taking a real-world data set.
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