nikkhil13
Senior Consultant @ EY, Data & Analytics Master of Science in Analytics @ NCSU Past Work experience - Data Scientist @ SAS
EYNew York
Pinned Repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
aws-cloud-practitioner-exam
This repository stores the progress of AWS Certified Cloud Practitioner Exam
azure-ml-certification
This repository tracks the progress of Microsoft Certified: Azure Data Scientist Associate certification
books-that-I-read
The objective of this repository is to help me retain information. Solely meant to improve my reading retention, others can feel free to use it.
Camcoder
An android application that lets you take an image of handwritten code and execute it.
credit-risk-modeling-python
This repository source the cource contents and tutorials / homeworks for the Credit Risk Modeling Cource in Python by Udemy
hyper-personalization-demo
plugin2020_workshop
Repository for the Workshop conducted in PLUGIN 2020 Analytics India Magazine AI Virtual Conference
Python_scripts_for_automation
A list of scripts to automate your daily tasks
SAS-FLXathon-2020
Zaply, Insurance on the go! - Winner of the SAS Asia Pacific Hackathon in Singapore with more than 50 participating teams from 12 countries.
nikkhil13's Repositories
nikkhil13/Python_scripts_for_automation
A list of scripts to automate your daily tasks
nikkhil13/azure-ml-certification
This repository tracks the progress of Microsoft Certified: Azure Data Scientist Associate certification
nikkhil13/hyper-personalization-demo
nikkhil13/awesome-courses
:books: List of awesome university courses for learning Computer Science!
nikkhil13/aws-cloud-practitioner-exam
This repository stores the progress of AWS Certified Cloud Practitioner Exam
nikkhil13/books-that-I-read
The objective of this repository is to help me retain information. Solely meant to improve my reading retention, others can feel free to use it.
nikkhil13/Camcoder
An android application that lets you take an image of handwritten code and execute it.
nikkhil13/credit-risk-modeling-python
This repository source the cource contents and tutorials / homeworks for the Credit Risk Modeling Cource in Python by Udemy
nikkhil13/plugin2020_workshop
Repository for the Workshop conducted in PLUGIN 2020 Analytics India Magazine AI Virtual Conference
nikkhil13/SAS-FLXathon-2020
Zaply, Insurance on the go! - Winner of the SAS Asia Pacific Hackathon in Singapore with more than 50 participating teams from 12 countries.
nikkhil13/Camcoder_server
Backend app for Camcoder
nikkhil13/logistic-reg-sas-vs-python
nikkhil13/neuroscience
This repository stores all my notes related to neuroscience
nikkhil13/nikkhil13
nikkhil13/python-dlpy
The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning models using friendly Keras-like APIs.
nikkhil13/quizzy
A test taking website.
nikkhil13/sas-visualanalytics-thirdpartyvisualizations
The data-driven content object enables you to display your data in a custom third-party visualization, within your SAS Visual Analytics report. The third-party visualization can be authored in any JavaScript charting framework, such as D3.js, Google Charts, or CanvasJS. The visualization in a data-driven content object receives its data query from SAS Visual Analytics, and so it interacts with filters, ranks, and object actions in the same way as the other objects in your report. For information about creating third-party visualizations for data-driven content, see Programming Considerations for Data-Driven Visualizations in SAS Visual Analytics: Reference.
nikkhil13/sas-viya-programming
Code samples and materials to help you learn to access SAS Viya services by writing programs in Python and other open-source languages
nikkhil13/SASStudioGit
Testing the git functionality in SAS Studio on Viya.
nikkhil13/spellcheck
A Spell Checker in Python based on Peter Norvig's Guide.
nikkhil13/statistics-notes
This repository hosts essential statistics notes that I have scribbled referencing a variety of resources on the internet