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Exploratory Data Analysis Tutorial: Analyzing the Food Culture of Bangalore

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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.

A Few Things To Remember Before Going To Start a Data...

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

Deep Learning with Keras Tutorial – Part 1

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About this series This post is the first part of Deep Learning with Keras series. This series aims to introduce the Keras deep learning library and...

How This Data Startup Aims to Bring Access to Petabytes of...

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After four years of hard work by Kevin Moore and Aneesh Karve (Founders), Quilt Data comes live from stealth mode. This platform can be used to...

List of Data Science and Machine Learning GitHub Repositories to Try...

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Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with Code Facebook’s Detectron Training a Model on the...

Data Pre-processing for Deep Learning models (Deep Learning with Keras –...

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Link to Part 1. Dealing with Data Motivation Training deep learning models requires data... A lot of data! Unfortunately, in most cases data comes messy,...

21 Free Data Sets/ Projects for Data Science Beginners

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We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails:  2. The United States Census Data:  3. Walmart:  5. CDC Cause...

Regression using Tensorflow and multiple distinctive attributes

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

Deep Learning with Keras – Part 5: Convolutional Neural Networks

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Motivation In the previous articles, we solved problems with numeric and categorical data, and we learned the different transformations needed for each. Regarding images, we...

Regression using Tensorflow and Gradient descent optimizer

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