November 28, 2022 Natural Language Processing, Python

Training and Hosting Bert model using Amazon Sagemaker and Flask

Amazon Sagemaker is a very popular service by AWS for building, training, and deploying machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. In this post, I will use Amazon Sagemaker to build a binary text classification model using bert-base-uncasedmodel on

November 28, 2022 Natural Language Processing, Python

Get Going with GloVe Embeddings

Photo by Nick

November 28, 2022 Python

How to Get a List of All Files in a Directory With Python

Getting a list of all the files and folders in a directory is a natural first step for many file-related operations in Python. When looking into it, though, you may be surprised to find various ways to go about it. When you’re faced with many ways of doing something, it can be a good indication that there’s no one-size-fits-all solution to your problems. Most likely, every solution will have its own advantages and trade-offs. This is the case when it […]

November 27, 2022 Python

100x scaling with Gevent

A case study on how we were able to scale an insurance aggregator framework up to 100 times.

November 27, 2022 Python

Stock Market Prediction ( Project -9 )

November 27, 2022 Natural Language Processing, Python

Perplexity of Language Models

November 26, 2022 Python

Getting Acquainted with Python Click

November 25, 2022 Natural Language Processing, Python

GloVe: Model Structure and Python Implementation

GloVe (Global Vectors) was proposed by Pennington, Socher, and Manning in 2014. It is a new global log-bilinear regression model that combines the advantages of the count-based and the prediction-based models. If you are new to word embedding models, feel free to check out my previous post on the