In this article we will buld a simple neural network classifier model using PyTorch. In this article we will cover the following: Step 1: Generate and split the data Step 2: Processing generated data Step 3: Build neural network classifier from scratch Step 4: Training the neural network classifier Step…

In this post we will setup a replica node for an already existing mongoDB or for a new mongoDB. We will also see how to access a mongoDB replica setup using Python programming language. A replica set in MongoDB is a group of mongod processes that maintain the same data…

Bidirectional Encoder Representations from Transformers (BERT) is a Transformer-based machine learning technique for natural language processing (NLP) pre-training developed by Google [1]. BERT model or other NLP models that are trained on large datasets utilises more memory. For example BERT-base requires around 450 MB of memory, whereas BERT-large requires around…

In this post we will see how to generate word embedding’s and plot a chart for the corresponding words. Dependencies - NLTK - Sklearn - Gensim - Plotly - Pandas First we need to get a paragraph or text for which we need to find the embeddings, I took a pragraph…

In this article we will use GPU for training a spaCy model in Windows environment. spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. spaCy is designed to help you do real work — to build real products, or gather…

In this post we will see how to convert BIO tagged text to original text. The BIO / IOB format (short for inside, outside, beginning) is a common tagging format for tagging tokens in a chunking task in computational linguistics (ex. named-entity recognition). The B- prefix before a tag indicates…

I recently got a new HP Laptop, and it does not have an inbuilt keyboard shortcut for Suspend , and I couldn’t find it either in the Power-off option. I Googled a lot, and finally got the terminal command to Suspend the system. In this article, we will be learning…

In this post we will be making a context manager using Python. Context managers comes in handy when we are using the with statement in Python. We will be making a context manager for writing HDFS file in Pandas. This will be a continuation of my previous post, regarding HDFS using Python Pandas. We will start be creating a class for our context manager: __enter__ and __exit__ are the magic functions of with statement. __enter__ is called immediately after the __init__ function and __exit__ is called at the end of the with statement.

In this post I will be showing how to make heat-maps with dendrogram using Python’s Matplotlib library. I came across a post about heat-maps with dendrogram using R and I tried using it with R, but I found R bit tough because of my lack of exposure with R. Thats when I decided to do the same using Python. I searched the web and did some research, and was finally able to do it using Python. The dependencies are as follows: