sreenuy Goto Github PK

airflow_slides

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

awslambda-java

Sample Java script to run the webdriver tests AWSLambda

bangpypers-intro-to-ml

Introduction to Machine Learning

botomatic

easily create twitter bots in python

building-etl-pipelines-with-python

Building ETL Pipelines with Python

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

d3

A JavaScript visualization library for HTML and SVG.

data-science-blogs

A curated list of data science blogs

datascienceresources

Open Source Data Science Resources.

iotws18

IoT Workshop refresh for 2018

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

k8s-my

lambda-selenium

Use Selenium Webdriver and Chrome inside AWS Lambda

ml_class

code for my O'Reilly masterclass videos

mylearning

To Explore and practice github exercises

notebook

Jupyter Interactive Notebook

pyconfhyd

Chatbots built for conducting a hands-on workshop on how to build chabots

resume-job-description-matching

The purpose of this project was to defeat the current Application Tracking System used by most of the organization to filter out resumes. In order to achieve this goal I had to come up with a universal score which can help the applicant understand the current status of the match. The following steps were undertaken for this project 1) Job Descriptions were collected from Glass Door Web Site using Selenium as other scrappers failed 2) PDF resume parsing using PDF Miner 3) Creating a vector representation of each Job Description - Used word2Vec to create the vector in 300-dimensional vector space with each document represented as a list of word vectors 4) Given each word its required weights to counter few Job Description specific words to be dealt with - Used TFIDF score to get the word weights. 5) Important skill related words were given higher weights and overall mean of each Job description was obtained using the product for word vector and its TFIDF scores 6) Cosine Similarity was used get the similarities of the Job Description and the Resume 7) Various Natural Language Processing Techniques were identified to suggest on the improvements in the resume that could help increase the match score

study

to keep my study materials

techbot

A chatbot that gives information about various technologies

weed

Analysing Weed Pricing across US - Data Analysis Workshop