Writing

Re-Imagining Topic Modeling in NLP: A Break from Conventional Approach

I recently spoke about Contextual Topic Modeling in NLP, at Google's La Kopi event for developers

Machine Learning Roadmap: An Effective Guidebook for Learning Machine Learning

Sometime back, I wrote about why I have started mentoring and the scope of fields in which I am interested in mentoring

Speed Up Pandas Dataframe Apply Function to Create a New Column

Pandas Library Data cleaning is an essential step to prepare your data for the analysis

Collocations in NLP using NLTK Library

Collocations are phrases or expressions containing multiple words, that are highly likely to co-occur

Time Series Analysis using Pandas

Time series, a series of data points ordered in time

Handling Imbalanced Dataset with SMOTE in Python

Close your eyes and imagine that you live in a utopian world of perfect data

A Survey of API Management Platforms

In my previous blog , I discussed how I landed up interning at Dentsu

Multi Class Classification in Text using R: Predicting Ted Talk Ratings

This blog is in continuation to my NLP blog series

Emotions in Ted Talks: Text Analytics in R

This post is in continuation with my NLP blog series

Data Preprocessing in R

I have recently got my hands dirty with Natural Language Processing (NLP)

My learning experience with Google’s Machine Learning Crash Course

I came to know about Google’s Machine Learning Crash Course (MLCC) from Sundar Pichai’s tweet

Engineering challenges of streaming a million concurrent JSON data streams from product to CRM

At Truebil , I was fortunate enough to be given an opportunity to solve a unique engineering problem