20 skills found
laszlodaniel / ChryslerScannerHardware and software for interfacing Chrysler's legacy CCD/PCI/SCI-bus.
PacktPublishing / Data Science Analytics AI For Business The Real World Data Science, Analytics & AI for Business & the Real World™, published by Packt
PacktPublishing / Statistics For Data Science And Business Analysis V Statistics for Data Science and Business Analysis, published by Packt
niksuniverse / DataScience And BusinessAnalytics Intern TheSparksFoundationNo description available
saravana611 / Data Science And Business Analytics Internship The Spark FoundationNo description available
KristenKehrer / Business ScienceCode and Data from Webinars with Matt Dancho from Business Science
aryashah2k / Computer Science And Business SystemsRepository Holding The Complete Syllabus Of BTech CSBS, An Undergraduate Degree Course Offered By TCS At My University
The-spark-Foundation / Data Science Bussiness Analytics InternshipI'll add all material which I did for the internship at sparks foundation
Tejashri-Chavan / Spark Foundation Data Science Business AnalystNo description available
avs-abhishek123 / Data Science And Business Analytics InternshipNo description available
PacktPublishing / Statistics For Data Science And Business AnalysisStatistics for Data Science and Business Analysis, published by Packt
j-dexter / Data Science For Business With RNo description available
jbusecke / Busecke Abernathey 2019 SciadvThis repository contains the analysis code used in Busecke and Abernathey 2018, Science Advances
institute4insight / Data Science In Business BootcampA five session bootcamp introducing programming and machine learning tools.
MatheusAraujoSouza / MS902 Topics In Data Science Applied To Business TradeMap ProjectThis project aims to collect and classify news from websites.
vikasbhadoria69 / Data Science For Business.In this project I have shown how Data science can be used to solve problems in each Business department. I have solved 6 real world business problems using Data science.
Lehigh-CSB / Computer Science And Business AssociationNo description available
Dennis-Zapatos / GRIP Data Science And Busines AnalyticsI just want to share my output as a Data Science & Business Analytics intern. Project Theme: Descriptive Analytics, Predictive Analytics
Brane105 / Data Science Final Project Real Life Business ProblemFinal Project : Project based on a real life Business Problem. In this Project, you will be using all the skills that you have acquired throughout this course. Problem Statement Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term deposit is a cash investment held at a financial institution. Your money is invested for an agreed rate of interest over a fixed amount of time, or term. The bank has various outreach plans to sell term deposits to their customers such as email marketing, advertisements, telephonic marketing and digital marketing. Telephonic marketing campaigns still remain one of the most effective way to reach out to people. However, they require huge investment as large call centers are hired to actually execute these campaigns. Hence, it is crucial to identify the customers most likely to convert beforehand so that they can be specifically targeted via call. You are provided with the client data such as : age of the client, their job type, their marital status, etc. Along with the client data, you are also provided with the information of the call such as the duration of the call, day and month of the call, etc. Given this information, your task is to predict if the client will subscribe to term deposit. Data You are provided with following files: 1. train.csv : Use this dataset to train the model. This file contains all the client and call details as well as the target variable “subscribed”. You have to train your model using this file. 2. test.csv : Use the trained model to predict whether a new set of clients will subscribe the term deposit. Data Dictionary Here is the description of all the variables : Variable Definition ID Unique client ID age Age of the client job Type of job marital Marital status of the client education Education level default Credit in default. housing Housing loan loan Personal loan contact Type of communication month Contact month day_of_week Day of week of contact duration Contact duration campaign number of contacts performed during this campaign to the client pdays number of days that passed by after the client was last contacted previous number of contacts performed before this campaign poutcome outcome of the previous marketing campaign Subscribed (target) has the client subscribed a term deposit? How good are your predictions? Evaluation Metric The Evaluation metric for this competition is accuracy. Solution Checker You can use solution_checker.xlsx to generate score (accuracy) of your predictions. This is an excel sheet where you are provided with the test IDs and you have to submit your predictions in the “subscribed” column. Below are the steps to submit your predictions and generate score: a. Save the predictions on test.csv file in a new csv file. b. Open the generated csv file, copy the predictions and paste them in the subscribed column of solution_checker.xlsx file. c. Your score will be generated automatically and will be shown in Your Accuracy Score column You can also check out the baseline Python Notebook provided to get started.
AM1241 / Bus Trajectory Analysis And Classification In Python Pandas And Scikit LearnAn application of data mining techniques, namely: collection, pre-processing / cleaning, conversion, use of data mining techniques and evaluation. The implementation is in Python using the SciKit-Learn tool. This work is related to the categorization of space-time data (bus tracks of Dublin city).
