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Mobile Price Classification Kaggle

Dataset. Mobile Price Classification classify mobile price range. Abhishek Sharma • updated 3 years ago (Version 1) Data Tasks Code (1,498) Discussion (12) Activity Metadata. Download (71 KB) New Notebook. more_vert. business_center.

Mobile Price Dataset Classification in R Data Science

Mobile Price Dataset Classification in R Data Science Project 10. Buy for $25. What's included? 3 files. Contents. Project File project-10.R 20.5 KB Get access. mobilePriceClassification_testDataset.csv 62.4 KB Get access. mobilePriceClassification_trainDataset.csv 120 KB Get access. Powered by.

Mobile Price Dataset Classification in R Data Science

Mobile Price Dataset Classification in R Data Science Project 08. Buy for $25. What's included? 3 files. Contents. Project File project-08.R 17 KB Get access. mobilePriceClassification_testDataset.csv 62.4 KB Get access. mobilePriceClassification_trainDataset.csv 120 KB Get access. Powered by.

Mobile Price Dataset Classification in Python Data

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Mobile Price Prediction Kaggle

Conclusion: KNN & Linear Regression performed the best Price prediction of Test.csv Using KNN for Prediction Model Predicted Price Range Adding Predicted price

GitHub data-hound/Mobile-Prices-Classification: A

Mobile-Prices-Classification. A machine learning solution to mobile price classification. Problem Description. Prabhat Doongarwal ( popular as “pd” ) has started his own mobile company. He wants to give tough fight to big companies like Apple,Samsung etc. He does not know how to estimate price

Amazon-Phone-Dataset Kaggle

Amazon-Phone-Dataset Data set of all the products in phone category of amazon

Mobile phones database, 10,000+ models with 86

2019-6-30  Mobile phone database coverage. The mobile phone specification database include classic phones and smartphones, tablets and smartwatches, from most popular phone brands in western world. There may be missing brands especially from China

Mobile App Store ( 7200 apps) Kaggle

Mobile App Statistics (Apple iOS app store) The ever-changing mobile landscape is a challenging space to navigate. . The percentage of mobile over desktop is only increasing. Android holds about 53.2% of the smartphone market, while iOS is 43%.

Free Data Sets for Data Science Projects Dataquest

2019-7-2  A dataset, or data set, is simply a collection of data. Some examples of this include data on tweets from Twitter, and stock price data. There aren’t many good sources to acquire this kind of data, but we’ll list a few in case you want to try your

Mobile Price Dataset Classification in Python and R

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Appendix B: Mobile Broadband Price Dataset, IBDR 2016,

Appendix B: Mobile Broadband Price Dataset, IBDR 2016, FCC, DA 16-97 country company comp BB_service technolog y wifi down_spe ed_adv Australia Vodafone entrant Vodaphone $38

Worldwide Mobile Data Pricing League Cost of 1GB

Using the map. Countries are colour-coded by the average price of one gigabyte (1GB) of mobile data. As you can see, this paints an interesting picture, with a lot of the countries where mobile data is cheapest in and around the former USSR, and with some of the most expensive in

Free Data Sets for Data Science Projects Dataquest

2019-7-2  A dataset, or data set, is simply a collection of data. Some examples of this include data on tweets from Twitter, and stock price data. There aren’t many good sources to acquire this kind of data, but we’ll list a few in case you want to try your hand at a streaming data project. 15. Twitter.

Mobile Price Lists Swappa

Swappa Price Lists Direct C2C Data. Swappa's pricing and popularity data is derived from direct consumer to consumer sales on Swappa's used mobile marketplace. Includes data on top-selling used iPhones and used Samsung Galaxy devices. Archive: See older price lists Sample: Download sample price

Average Revenue per User (ARPU) in the Retail Mobile

Total retail mobile revenues divided by number of active SIM cards Original source. Electronic communications market indicators collected by Commission services, through National Regulatory Authorities, for the Communications Committee (COCOM) January and July reports.:

UCI Machine Learning Repository: MHEALTH Dataset

The MHEALTH (Mobile HEALTH) dataset comprises body motion and vital signs recordings for ten volunteers of diverse profile while performing several physical activities. Sensors placed on the subject's chest, right wrist and left ankle are used to measure the motion experienced by diverse body parts, namely, acceleration, rate of turn and

Fuel Price Reporting Datasets Open Data Portal

Fuel price publisher and data consumer API sign up website HTML Popular Publishers and data consumers can access technical information, terms of Dataset column explanation for Fuel Price Reporting TXT Popular

ML Studio (classic): Use the sample datasets Azure

This dataset contains one row for each U.S. airport, providing the airport ID number and name along with the location city and state. Automobile price data (Raw) Information about automobiles by make and model, including the price, features such as the number of

telecom Any CDR (call data record) dataset? Open

2021-2-4  Basically I want to experiment with (ideally large) CDRs dataset. As the CDR layout may vary (e.g. may contain price elements; time of call; duration; position of caller etc.), the analytics I'll do will depend on the data I'll find. Any help is greatly appreciated.

Worldwide Mobile Data Pricing League Cost of 1GB

Using the map. Countries are colour-coded by the average price of one gigabyte (1GB) of mobile data. As you can see, this paints an interesting picture, with a lot of the countries where mobile data is cheapest in and around the former USSR, and with some of the most expensive in

Crowd-Sourced Price Collection Data Catalog

2021-2-23  Non-professional price collectors used personal computers and mobile phones for collecting data and entering it in a multilingual web microsite developed for the pilot. Price data was collected for thirty tightly specified food commodity items on a monthly basis

Mobile Price Lists Swappa

Swappa Price Lists Direct C2C Data. Swappa's pricing and popularity data is derived from direct consumer to consumer sales on Swappa's used mobile marketplace. Includes data on top-selling used iPhones and used Samsung Galaxy devices. Archive: See older price lists Sample: Download sample price

Mobile Price in India {25 Feb 2021} Get Mobile Specs

Compare mobile prices for brands such as Samsung, Apple, Lenovo, etc. Latest mobile price list with pictures, features and specs comparison. Best mobile phones, smartphones in India starting from Rs. 700

Smartphone Market Data Strategy Analytics

Global Smartphone Monthly Shipments (Sell In), Sales (Sell Through) and Inventory by Vendor: October 2020 Read Metrics, Excel Nov 20, 2020; Global Handset / Smartphone / Feature Phone Sales Forecast for 88 Countries : 2007 to 2025 Read Forecast and Outlook Sep 02, 2020; Global Smartphone Shipments Forecast by Vendor by Region by Quarter Read Forecast and Outlook Sep 01, 2020

Fuel Price Reporting Datasets Open Data Portal

Fuel price publisher and data consumer API sign up website HTML Popular Publishers and data consumers can access technical information, terms of Dataset column explanation for Fuel Price Reporting TXT Popular

Datasets for Data Mining, Data Science, and Machine

2021-2-24  See also Government, State, City, Local, public data sites and portals Data APIs, Hubs, Marketplaces, Platforms, and Search Engines. Google Dataset Search Data repositories Anacode Chinese Web Datastore: a collection of crawled Chinese news and blogs in JSON format. Appen Open Source Datasets. AssetMacro, historical data of Macroeconomic Indicators and

Mi 4G Mobile Phones Mi 4G Mobiles Price List 2021

2021-2-25  Then we have smartphones in the premium price range that offers blazing-fast 4G LTE speeds. The best part of Xiaomi s 4G mobile phones is the fact that it supports all the 4G LTE bands that are available in India. This means you get great network coverage and internet speeds on Xiaomi

telecom Any CDR (call data record) dataset? Open

2021-2-4  Basically I want to experiment with (ideally large) CDRs dataset. As the CDR layout may vary (e.g. may contain price elements; time of call; duration; position of caller etc.), the analytics I'll do will depend on the data I'll find. Any help is greatly appreciated.

data.gov.in Open Government Data (OGD) Platform

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