Learn everything about Analytics
The AI Comic: Z.A.I.N – Issue #2: Facial Recognition using Computer Vision
Introduction First – a HUGE thank you to our community for the wonderful response to the first issue of our exclusive AI comic – …
Build a Machine Learning Model in your Browser using TensorFlow.js and Python
Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There …
An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals
Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, …
Comprehensive Guide to Text Summarization using Deep Learning in Python
Introduction “I don’t want a full report, just give me a summary of the results”. I have often found myself in this situation – …
Top 7 Machine Learning Github Repositories for Data Scientists
Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning …
The AI Comic: Z.A.I.N – Issue #1: Automating Attendance using Computer Vision
“Sound does not travel in a vaccum.“ The above concept might just be a simple fact for you – but I had a tough …
DataHack Radio #23: Ines Montani and Matthew Honnibal – The Brains behind spaCy
Introduction What would you do if you had the chance to pick the brains behind one of the most popular Natural Language Processing (NLP) …
Exclusive Interview with Sonny Laskar – Kaggle Master and Analytics Vidhya Hackathon Expert
Introduction What’s the key to cracking data science competitions? How do you use this experience to break into the data science industry? We regularly …
Decoding the Best Papers from ICLR 2019 – Neural Networks are Here to Rule
Introduction I love reading and decoding machine learning research papers. There is so much incredible information to parse through – a goldmine for us …
A Beginner’s Guide to Hierarchical Clustering and how to Perform it in Python
Introduction It is crucial to understand customer behavior in any industry. I realized this last year when my chief marketing officer asked me – …
Using the Power of Deep Learning for Cyber Security (Part 2) – Must-Read for All Data Scientists
Introduction We are in the midst of a deep learning revolution. Unprecedented success is being achieved in designing deep neural network models for building …
Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos
This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can …
Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)
Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, …
10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners
Introduction We have worked on plenty of drag-and-drop tools in our business intelligence (BI) journey. But none has come close to matching the Swiss …
A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science
Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys …
A Practical Introduction to Prescriptive Analytics (with Case Study in R)
This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction “What are the different branches of analytics?” Most of us, when we’re …
Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify
Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what …
A Guide to Understanding Convolutional Neural Networks (CNNs) using Visualization
Introduction “How did your neural network produce this result?” This question has sent many data scientists into a tizzy. It’s easy to explain how …
Statistics for Data Science: Introduction to the Central Limit Theorem (with implementation in R)
What is the central limit theorem? What are it’s applications? And how can you implement the central limit theorem in R? Find out in this article!
Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition)
Analytics Vidhya’s pick of the top 5 data science-related GitHub repositories and Reddit discussions from April 2019 for every data scientist.
