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Nikita sharma
Nikita sharma

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Published in Towards Data Science

·Nov 7, 2020

Engineering best practices for Data Science projects

Making your data science project more reliable, testable, and deployable — Introduction In this post, we will learn some best practices to improve our code quality and reliability for the production Data Science code. Note: Most of the things mentioned here are not new to the Software engineering world, but they often get ignored/missed in the experimental world of Data Science. Here…

Python

5 min read

Engineering best practices for Data Science projects
Engineering best practices for Data Science projects
Python

5 min read


Published in Towards Data Science

·Jul 2, 2020

Part 2 — Create live interactive dashboards with Python and Heroku

Simple instructions on deploying your Streamlit app on Heroku cloud platform — 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. …

Python

4 min read

Part 2 — Create live interactive dashboards with Python and Heroku
Part 2 — Create live interactive dashboards with Python and Heroku
Python

4 min read


Jun 14, 2020

AWS cost monitoring for visibility and $$$ control

Keep an eye on your AWS costs and don’t run out of credits or $$$ — 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…

AWS

2 min read

AWS cost monitoring for visibility and $$$ control
AWS cost monitoring for visibility and $$$ control
AWS

2 min read


Jun 14, 2020

Debugging the TensorFlow / Cuda error on AWS — ImportError: libcublas.so.9.0: cannot open shared object file

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…

AWS

2 min read

Debugging the TensorFlow / Cuda error on AWS — ImportError: libcublas.so.9.0:
Debugging the TensorFlow / Cuda error on AWS — ImportError: libcublas.so.9.0:
AWS

2 min read


Published in Towards Data Science

·Jun 13, 2020

Moving our local Jupyter notebooks to GPU’s on cloud — Deep learning on AWS

Stop being limited by the local system resource and move your deep learning workloads to cloud GPU — 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.

AWS

5 min read

Moving our local Jupyter notebooks to GPU’s on cloud — Deep learning on AWS
Moving our local Jupyter notebooks to GPU’s on cloud — Deep learning on AWS
AWS

5 min read


Published in Towards Data Science

·Jun 11, 2020

How to build interactive dashboards in Python using Streamlit

Level up your data science projects with interactive dashboards — 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…

Streamlit

3 min read

How to build interactive dashboards in Python using Streamlit
How to build interactive dashboards in Python using Streamlit
Streamlit

3 min read


Dec 29, 2019

How to build deep neural network for custom NER with Keras

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…

Deep Learning

5 min read

How to build deep neural network for custom NER with Keras
How to build deep neural network for custom NER with Keras
Deep Learning

5 min read


Nov 30, 2019

How to create custom NER model in Spacy

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. …

Machine Learning

3 min read

How to create custom NER in Spacy
How to create custom NER in Spacy
Machine Learning

3 min read


Sep 8, 2019

White paper — Job Skills extraction with LSTM and Word Embeddings

Applying Deep Learning on text corpuses for Job Skills extraction — 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…

Machine Learning

2 min read

White paper — Job Skills extraction with LSTM and Word Embeddings
White paper — Job Skills extraction with LSTM and Word Embeddings
Machine Learning

2 min read


Aug 24, 2019

Knowledge Graph part-3 :Building REST API over Knowledge Graph

In our previous post, we discussed about getting started with knowledge graph where we saw how to install neo4j in Docker and Modelling tabular data as graph where we saw how we can push the data to our graphical database. Now that we have all the data in our graph…

Neo4j

3 min read

Knowledge Graph part-3 :Building REST API over Knowledge Graph
Knowledge Graph part-3 :Building REST API over Knowledge Graph
Neo4j

3 min read

Nikita sharma

Nikita sharma

559 Followers

Data Scientist | Python programmer

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