arunkumaranup Goto Github PK

cayman

Cayman is a Jekyll theme for GitHub Pages

convolutional-neural-networks

course

cs_automatic_ticketing_sentiment_analysis

data_structures

dl_gesture_recognition_casestudy

git-practice

housing_price_prediciton_ml2_adv_regression

interview-leetcode-solutions

This repo contains my Leetcode Solutions question-wise !

lending_club_case_study

liblpm

Longest Prefix Match (LPM) library

lua

The Lua development repository, as seen by the Lua team. Mirrored irregularly. Please DO NOT send pull requests. Report issues in the Lua mailing list https://www.lua.org/lua-l.html

melanoma_detection_cnn

minimal

Minimal is a Jekyll theme for GitHub Pages

ml_bike_sharing_assignment

naive-bayes

nlp_identify_disiese_assignment

practice

public

Repository for publishing OpenConfig models, documentation, and other material for the community.

rax

A radix tree implementation in ANSI C

telecom_chun_casestudy

telecom_churn_case_study

telecom_churn_casestudy_ml_2

In the telecommunication industry, customers tend to change operators if not provided with attractive schemes and offers. It is very important for any telecom operator to prevent the present customers from churning to other operators. As a data scientist, your task in this case study would be to build an ML model which can predict if the customer will churn or not in a particular month based on the past data. This case study is slightly different from the other assignments and case studies that you would have attempted in the previous modules. This time around, we are offering this case study in the form of a Kaggle competition. Kaggle is an online community for data scientists offering ML competitions, data sets, notebooks, and micro-courses. Kaggle competitions are quite popular among top data science enthusiasts and recruiters, and therefore, they will become an indispensable part of your data science learning and career path. First, you will learn about Kaggle, its features, how to operate the interface, the various services it offers, and most importantly about its competitions. After this, you will attempt a competition based on the churn prediction problem on the Kaggle platform.

upgrad