Nutan Sahoo's repositories

InterviewQs

A question bank for interview questions for data related roles

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Analysing-and-Predicting-Copper-Prices

Annual Copper Prices data from the year 1800 to 1997 was downloaded from the time series data library created by Rob Hyndman. I aim to analyse this uni-variate time series data and fit an ARIMA model to it.

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Motor_Trend_Project-RegressionModels

This repository contains the code for Motor Trend Project. Parsimony, simplicity and predictive power of regression has always fascinated me. I wanted to see what important insight we can draw from mtcars dataset in R. Following were my objectives: To find which one of Automatic or Manual Transmission is better for mpg. To Quantify the mpg difference b/w auto and manual transmissions. To come up with a model to predict the mileage of a given car. To find how a hundred pound increase in car's weight will change the fuel efficiency.

resume

Software developer resume in Latex

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biLouvain

biLouvain with algorithmic extensions: Multi-fuse, Murata+ exploiting intra-type information.

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fastai

The fastai deep learning library, plus lessons and and tutorials

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knitr

A general-purpose tool for dynamic report generation in R

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NLP

Natural Language Processing is probably the most fascinating and difficult areas of data science. Subtleties of natural language, such as dependence of meaning in context, it's dynamic nature make it extremely challenging to make machines understand/respond to human languages. This repository documents my learnings as I embark on this exciting journey of mastering NLP.

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nutansahoo

Config files for my GitHub profile.

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Online-courses-and-Assignments

This repository contains the code of the assignments that I do as part of the online Machine Learning and Data Science courses along with all the stuff that I learn from these courses.

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ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

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Time-Series-Analysis

This repository contains projects that involve time series analysis.

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