Name: Nivedit
Type: User
Company: ICICI Bank
Bio: I love living in d moment & at dis moment, I'm into exploration mode with my love towards Data Science. I'm immensely fascinated with this field, so here I'm..!
Location: Hyderabad, India
Nivedit's Projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
solution to the question Big mart sales prediction
Flask Portfolio App for students @ Clever Programmer deployed from Cloud 9
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Essential Cheat Sheets for deep learning and machine learning researchers
Learning about Using Colab
Creating Repo "Coursera-Exploratory-Data-Analysis-Project1"
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Portfolio Space holding my work on Data-Science projects.
Creating repo "datasciencecoursera" for Assignment 1
http://DataScienceSpecialization.github.io
The Leek group guide to data sharing
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
A TensorFlow implementation of Baidu's DeepSpeech architecture
Audio fingerprinting and recognition in Python
Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
Basic face recognizer which can identify the face of the person(s) showing on a web cam.
Submitting the Final Project for Getting and CLeaning Data
A collection of various notebook extensions for Jupyter
Oxford Deep NLP 2017 course
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Various other solutions/mini projects
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
Various approaches to learn NLP tactics like RegEx and others