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This blog explains how using simple machine learning concepts we can enrich our call centers/support logs activities in our own organization

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In this article, we will explore a small subset of the data cleansing process: Merging disparate data sources on common categories.

Elon Musk AI Text Generator with LSTMs in Tensorflow 2

In this article, you will create an AI that would generate text based on Elon Musk's previous Twitter postings.

Ultimate Beginner’s Guide to Win Classification Hackathons with a Data Science Use Case

Create a Word Cloud or Tag Cloud in Python

A word cloud is a visual representation object for text processing. Here is a beginners guide to create a word cloud or tag cloud in python.

Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning

Enhance your Data Science skills with ML evaluation metrics. From rand index to calinski-harabasz Index and mutual info for accuracy.

Global Model Interpretability Techniques for Black Box Models

An interpretable model that makes sense is far more trustworthy than an opaque one as the degree of predictness decreases.

5 Tableau Tips for Designing a Tidy and Impactful Visualization

Tableau tips for creating a neat and tidy visualization. In this article learn 5 tableau tips and impress your audience and readers.

What does not get discussed about analysis: Chaos to order

In this article we will discuss about what are the essential things in data science that we don't talk about much after getting the data

How to Choose Evaluation Metrics for Classification Models

In this article, let us deep dive into the most common evaluation metrics for classification models that all data scientists should know