Introduction

If you want to deploy an interactive dashboard or your portfolio as a web page in a cloud platform, Heroku is a great app to deploy your dashboard. In our previous post, we talk about how to build Interactive dashboards in Python using Streamlit. Here we will deploy our streamlit app in a cloud platform.

Heroku

Heroku is a cloud platform that runs our apps in virtual containers (Dynos)which executes on a runtime environment. These containers support many different languages like Ruby, Scala, Python, Java, etc. It also provides custom buildpacks with which we can deploy apps in any other language.

Setup Heroku

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If you are a startup you would probably want to keep a very close eye on your costs, further if you’re a student and are working with your available credits to get you through your Uni projects, Cost is going to be a big big concern for you.

This is going to be a very quick post on getting some visibility over our AWS expenses and resources.

AWS cost monitor

Visit AWS cost monitor . Launch the Cost explorer and click on Reports. Create a New report.

Cause of error

This error is caused because mismatch in versions of tensorflow-gpu and CUDA. Every tensorflow-gpu lib is dependent on a very specific CUDA version.

Check our versions

Check tensorflow-gpu version :

pip list | grep tensorflow-gpu

Our tensorflow-gpu version is 1.8.0.

Check CUDA version:

ls -l /usr/local/cuda

Our cuda version is cuda-8.0.

Investigate issue

What are the compatible cuda versions for tensorflow :

Let’s refer to official TensorFlow page for the version compatibility.

Get GPU from AWS

Let’s create a GPU instance for our Deep Learning workloads. We need an AWS EC2 instance for this. Login to AWS web console and lookup for the EC2 service and click Launch Instance.

If you are working on a visualisation project and want to demo your findings, or if you are hitting the job market and want to create some portfolio projects — interactive dashboards are a great way to provide the information in a good accessible way.

Streamlit

We will be using Python and Streamlit for our interactive dashboards today.

Streamlit’s is an open-source app framework which makes the life easy for data scientist by exploring and understanding data via a beautiful dashboard.

Setting up Streamlit

Let’s first Install Streamlit to our system and then run the hello command just to verify that everything is working…

Introduction

In this post, we will learn how we can create a simple neural network to extract information ( NER) from unstructured text data with Keras.

Named Entity Recognition (NER)

NER is also known as entity identification or entity extraction. It is a process of identifying predefined entities present in a text such as person name, organisation, location, etc. It is a statistical model which is trained on a labelled data set and then used for extracting information from a given set of data.

Sometimes we want to extract the information based on our domain or industry. For example : in medical domain, we want…

Named Entity Recognition (NER)

NER is also known as entity identification or entity extraction. It is a process of identifying predefined entities present in a text such as person name, organisation, location, etc. It is a statistical model which is trained on a labelled data set and then used for extracting information from a given set of data.

Sometimes we want to extract the information based on our domain or industry. For example : in medical domain, we want to extract disease or symptom or medication etc, in that case we need to create our own custom NER.

Spacy

It is an open source software…

I was recently researching various text mining and language processing techniques to extract Job Skills from Job postings and Resume data. The input data is a free text corpus and the expected output would be the desired skills sets for a given job profile.

I decided to document all my research as a paper with all the technical details that might be useful for someone researching a similar problem. So here it is -

Direct link to paper : https://confusedcoders.com/wp-content/uploads/2019/09/Job-Skills-extraction-with-LSTM-and-Word-Embeddings-Nikita-Sharma.pdf

The output of the exercise were very promising and I was able to extend the model to various Job…