Mahesh Kulkarni (@kmaheshkulkarni)
github

kmaheshkulkarni

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  • Stars
    star
    154
  • Global Rank 150,794 (Top 6 %)
  • Followers 16
  • Following 283
  • Registered over 8 years ago
  • Most used languages
    R
         93.3 %
    HTML
         6.7 %
  • Location 🇮🇳 India
  • Country Total Rank 4,074
  • Country Ranking
    R
         31

Top repositories

1

corrly

Corrly For Manufacturing Process
R
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2

Analysis-of-Amazon-Reviews-using-R

R
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3

Time-Series-Data-Analysis-for-Global-Mart

Business understanding: “Global Mart” is an online store super giant having worldwide operations. It takes orders and delivers across the globe and deals with all the major product categories - consumer, corporate & home office. Now as a sales/operations manager, you want to finalise the plan for the next 6 months. So, you want to forecast the sales and the demand for the next 6 months, that would help you manage the revenue and inventory accordingly. The store caters to 7 different market segments and in 3 major categories. You want to forecast at this granular level, so you subset your data into 21 (7*3) buckets before analysing these data. But not all of these 21 market buckets are important from the store’s point of view. So you need to find out 2 most profitable (and consistent) segment from these 21 and forecast the sales and demand for these segments.
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4

Use-image-classification-to-identify-handwritten-digits-using-Support-Vector-Machine-Algorithm

A classic problem in the field of pattern recognition is that of handwritten digit recognition. Suppose that you have an image of a digit submitted by a user via a scanner, a tablet, or other digital devices. The goal is to develop a model that can correctly identify the digit (between 0-9) written in an image.
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5

LeaRn_PlumbeR

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6

Credit-Beauro

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7

FelxDashboard-HR-Analytics.github.io

HTML
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8

Investment-Case-Study---Sparks-Fund-LLP

R
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9

UBER-Project

R
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10

Gramener-Case-Study

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11

Analysis-Of-Patients-Inventary-Data-Using-Shiny-App

This is A Static Version Of Shiny App it can be useful for Hospital Managements
R
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12

Data-Injection-and-Processing-of-Call-Detail-Record-using-Apache-Hive

Telecom companies record their users’ activity data, i.e. calls, SMS and internet usage for billing and monitoring purposes. This data is commonly called Call Detail Record (CDR) data, though apart from calls, it also contains data of text messages, internet usage etc. Since a typical telecom company has millions of users, they generate massive quantities of data. In this I analyse the ‘Milano Grid’ telecom data which contains the telecommunication activity recorded over the city of Milano in Italy. The data is collected by the Telecom Italia cellular network over the city of Milano.
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13

Predict-car-price-using---Linear-Regression

A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts. They have contracted an automobile consulting company to understand the factors on which the pricing of a car depends. Specifically, they want to understand the factors affecting the pricing of cars in the American marketing, since those may be very different from the Chinese market. Essentially, the company wants to know:  Which variables are significant in predicting the price of a car  How well those variables describe the price of a car Based on various market surveys, the consulting firm has gathered a large dataset of different types of cars across the Americal market.
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14

Machine-Learning-Scientist-with-R

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15

AIwithR

R
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16

OEE

R
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17

HQuarter

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18

DeepLearningUsingR

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19

EOT

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20

SuperStore_ShinyApp

R
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21

docs

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