ajaysimhasr Goto Github PK

followers: 1.0 following: 1.0 repos: 31.0 gists: 0.0

Name: Ajay Ranganath

Type: User

Company: Rutgers University

Bio: Accomplished Data Scientist & Engineer with seven years’ of experience in e- commerce. Helping teams build efficient data pipelines and predictive modeling.

Location: Harrison, New Jersey

Blog: https://ajaysimhasr.github.io

Ajay Ranganath's Projects

aiconic

Class project for Applied AI - Spring 2018

awesome-datascience

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

cnn-dr-kaggle

Diabetic retinopathy detection using Convolutional Neural Networks. This code is part of our project with Pablo Rubí, Nicolás Dazeo, Carlos Bulant and Hugo Luis Manterola.

data-representation-and-analysis-in-r

This a start to R programming by performing few analysis on a dataset

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deeplearning.ai-convolutional-neural-networks

Completed assignment jupyter notebook of Foundations of Convolutional Neural Networks, deeplearning.ai coursera course

diabetic-retinopathy-code

Code for the Kaggle competition http://www.kaggle.com/c/diabetic-retinopathy-detection

diabetic-retinopathy-screening

Diabetic retinopathy screening w/ Tensorflow.

diabetic_retinopathy_detection

Code for the kaggle challenge: Diabetic Retinopathy Detection (TensorFlow)

diabeticretinopathydetection

Deep Learning Project on Diabetic Retinopathy Detection - TUM Team ID 47

eda-on-newyorkcity-airqualityindex

This EDA is performed using seaborn graph plotting libraries

filipino-family-income-analysis

Data Science Project - EDA and Scikit Learn application

jupyter

Jupyter metapackage for installation, docs and chat

kaggle-dr

My Entry for the Kaggle Diabetic Retinopathy Competition for 20/661 place

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

linear-and-logistic-regression

Here I have practice linear model and logistic regression in R

practicing-bokeh-plot

This is a implementation of bokeh, interactive plot in python

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

project-in-r

This is a data analysis in R using Classifiers and Support Vector Machine, Decision trees for classification

retinopathy_detection

Diabetic Retinopathy Detector for Kaggle's Diabetic Retinopathy Detection Competition

rutgershackathon-2018-fall

In this event we created an interactive chatbot for Prudential Challenge to enable it's customers for an seamless experience in accessing their account and policy information

We created an application to list the recipes with search of a keyword of the dish. Here we used technologies such as python to call api and node.js and html for the frontend and flask to integrate with the backend

tbboci-3rd-edition-python

Source code for the problems in The Big Book of Coding Interviews 3rd edition in Python

ted-talk-analysis

Ted Talk Analysis - Machine Learning Project

tesco-monday-morning

A sample repository for working with Tesco on Monday morning to practice collaboration

themlbook

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

ajaysimhasr Goto Github PK

Ajay Ranganath's Projects

Recommend Projects

Recommend Topics

Recommend Org