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apperaldetectionwithheroku

bank-logistic

bankmarketting_project

cliner

Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.

clinicalner

clinicalner_notebook

Jupyter notebooks - Experiments, Model creation for ClinicalNER project.

covid-19-visual-choropleth

covid19-visualizations

Using Python to visualize various datasets relating to COVID-19 in New York City. Analyses include: plotting rates by age and sex, geographic maps by zip code, and time-series plots with logarithmic axes.

covidpredictionusingxray

crf

Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf

data-science-pro

Regularly Updated | Collection of of the best Data Science Material from the Web

deep-learning-notes

My handwritten notes from Udacity's Deep Learning Course

deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

devskrol

This repository is to share Implementation of Algorithms for the Blog readers.

english-dictionary-sqlite

English Dictionary in SQLite

exploring-topic-modelling-with-gensim-on-the-essential-science-indicators-journals-list

flaskdemoinheroku

hackathons

hr_analytics_pratise_problem

Your client is a large MNC and they have 9 broad verticals across the organisation. One of the problem your client is facing is around identifying the right people for promotion (only for manager position and below) and prepare them in time. Currently the process, they are following is: They first identify a set of employees based on recommendations/ past performance Selected employees go through the separate training and evaluation program for each vertical. These programs are based on the required skill of each vertical At the end of the program, based on various factors such as training performance, KPI completion (only employees with KPIs completed greater than 60% are considered) etc., employee gets promotion For above mentioned process, the final promotions are only announced after the evaluation and this leads to delay in transition to their new roles. Hence, company needs your help in identifying the eligible candidates at a particular checkpoint so that they can expedite the entire promotion cycle. They have provided multiple attributes around Employee's past and current performance along with demographics. Now, The task is to predict whether a potential promotee at checkpoint in the test set will be promoted or not after the evaluation process.

jwt-apigateway-security

knowledgeconsolidation

machine-learning-projects

This repository consists of all my Machine Learning Projects.

medacy

:hospital: Medical Text Mining and Information Extraction with spaCy

medcat

Medical Concept Annotation Tool

medical_image_analysis_workshop

Workshop on Medical Image Analysis using pydicom, SimpleITK, ITK, itkwidgets, numpy, seaborn, and matplotlib

medium-sdk-python

Python SDK for Medium's OAuth2 API

ml-heroku-deploy-carprice

mlreview_notebooks

Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."

neural-networks

neural-pose-transfer

Neural Pose Transfer by Spatially Adaptive Instance Normalization. In CVPR 2020