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Whatsapp Group Chat Analysis with Python and Plotly… And More!
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Whatsapp Group Chat Analysis with Python and Plotly… And More!

Author(s): Towards AI Team

 

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📚 Editor’s choice featured articles for the month 📚

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Whatsapp Group Chat Analysis with Python and Plotly… And More!
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Now into the monthly picks! We pick these articles based on readership, fans, and the number of views a specific article gets. We hope you enjoy reading them as much as we do.

Whatsapp Group Chat Analysis using Python and Plotly by Saiteja Kura

Gain insights and patterns from Whatsapp group chat’s data using Pandas and Plotly. A group of five friends decided to go on a trip to Goa in their 6th semester. Before the advent of Social Media, they used to plan everything on call or in the college canteen. But now thanks to Whatsapp, from trips to exams and assignments everything happens on Whatsapp groups. Likewise, I too have a group of five friends…

Natural Language Processing (NLP) with Python — Tutorial by Pratik Shukla, and Roberto Iriondo

In this article, we explore the basics of natural language processing (NLP) with code examples. We dive into the natural language toolkit (NLTK) library to present how it can be useful for natural language processing related-tasks. Afterward, we will discuss the basics of other Natural Language Processing libraries and other essential methods for NLP, along with their respective coding sample implementations in Python…

The Fundamental Theorem of Algebra by Marco Tavora Ph.D.

Using Complex Numbers to Prove That All Polynomial Functions Have Roots. According to the Fundamental Theorem of Algebra, every polynomial has a root (it equals zero) for some point in its domain. Though the theorem was already stated in the early 1700s (by the three mathematicians, Peter Roth, Albert Girard, and René Descartes), the first (non-rigorous) proof…

How I Prepared For The AWS Certified Machine Learning Exam by Mohd Shukri Hasan

In this article, I will describe how I prepared for the AWS Certified Machine Learning — Specialty exam. I will share the materials I used and my thoughts about their usefulness. The first thing I did was to read the exam guide to figure out things like examinable content, exam format, passing marks, etc. This document was very helpful in identifying gaps in my knowledge…

Seasonality Detection with Fast Fourier Transform (FFT) and Python by Satsawat Natakarnkitkul

Quickly detect seasonality using FFT in Python. Forecasting is one of the processes of predicting the future based on past and present data. Most of the forecasting problems associated with time-series data (i.e. what is the sale of product A next month). Some problems can be easier to forecast than others. The predictability of an event or a quantity depends on several factors, some are…

These Data Science Skills will be your Superpower by Benjamin Obi Tayo Ph.D.

Hard and soft skills that would make your data science training to be complete. Most academic training programs in data science are focused mostly on teaching hard skills. Time and time again, industry data, market trends, and insights from top business leaders highlight soft skills as a key component to success in the workplace. This article will discuss the essential hard and soft skills for success in data science practice. Math skills are essential in data science and machine learning. For more about the basic math skills needed for data science and machine learning, please see this article: How Much Math do I need in Data Science?

Sentiment Analysis — ML project from Scratch to Production (Web Application) by Shareef Shaik

When I started learning Data science, I always get lost in the amount of material it offers. After learning it for some time, I kinda forget it and come back watching videos or referring to blogs. Then I realized, that like any other skill you need to practice and solve real-world problems. Keeping that in mind I started working on a simple project. While developing an end to end project you get to know a lot of things which you wouldn’t get with simple learning…

Using Tesseract-OCR for Text Recognition with Google Colab by Michelangiolo Mazzeschi

Installing Tesseract on Google Colab and trying it out. Above, an example of Google OCR API, hopefully, I will be able to do the same with Tesseract, one day. The installation of this library took me longer than usual. While you should start by installing pytesseract using pip, if you try to run the library, it will run an error…

Why do We Need Activation Functions in Neural Networks? by Dorian Lazar

Activation functions motivated by examples. If you are reading this, then most probably you already know what a neural network is and what activation functions are, but, some introductory courses on machine learning don’t show clear enough, why do we need these activation functions. Do we need them? Would neural networks work without them?…

The Fundamentals of Neural Architecture Search (NAS) by Arjun Ghosh

Neural Architecture Search (NAS) has become a popular subject in the area of machine-learning science. Commercial services such as Google’s AutoML and open-source libraries such as Auto-Keras [1] make NAS accessible to the broader machine learning environment. We explore the ideas and approaches of NAS in this blog post to help readers to understand the field better and find possibilities of real-time applications.

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Whatsapp Group Chat Analysis with Python and Plotly… And More! was originally published in Towards AI — Multidisciplinary Science Journal on Medium, where people are continuing the conversation by highlighting and responding to this story.

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