Month: May 2018

Sentiment Analysis of Twitter Posts on Chennai Floods using Python

Introduction The best way to learn data science is to do data science. No second thought about it! One of the ways, I do this is continuously look for interesting work done by other community members. Once I understand the

Ultimate Guide to Understand & Implement Natural Language Processing

According to industry estimates, only 21% of the available data is present in structured form. Data is being generated as we speak, as we tweet, as we send messages on Whatsapp and in various other activities. Majority of this data exists

How to handle Imbalanced Classification Problems in machine learning?

Introduction If you have spent some time in machine learning and data science, you would have definitely come across imbalanced class distribution. This is a scenario where the number of observations belonging to one class is significantly lower than those belonging

Beginner’s guide to Web Scraping in Python – Sunil Ray

Introduction The need and importance of extracting data from the web is becoming increasingly loud and clear. Every few weeks, I find myself in a situation where we need to extract data from the web. For example, last week we

Deep Learning for Beginners

Notes for “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning Notes for Beginners

Manual Back Prop with TensorFlow

Decoupled Recurrent Neural Network, modified NN from Google Brain, Implementation with Interactive Code. Photo from Pixel Bay I love Tensorflow and it’s ability to perform auto differentiation, however that does not mean we cannot perform manual back propagation even in Tensorflow.

A Tour of Machine Learning Algorithms

By Jason Brownlee on November 25, 2013 in Machine Learning Algorithms In this post, we take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of

Most Popular Text Analytics Tools and Algorithms

Posted here by Preetish Panda   With text analytics, various burning questions around the ‘why’ and ‘what’ of a piece or group of content can be answered. Examples like social media chatter around brand can create a supremely spiraling impact (remember the

Can computers detect mental illness from human language use?

Automatic Detection of Incoherent Speech for Diagnosing Schizophrenia by Dan Iter, Jong Yoon, Dan Jurafsky    

Data Science Tutorials – All in One

Data Science Tutorials – All in One Includes Machine Learning — Andrew Ng, Stanford University [FULL COURSE] Mining Massive Datasets – Stanford University Natural Language Processing – Coursera (FULL) | University of Michigan Text Mining and Analytics by ChengXiang Zhai