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This is one among the project that have been assigned to me by Sparks foundation for my Internship program using python programming language

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Dharshu2003/Data-Science-and-Business-analytics---Tasks

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The-Sparks-Foundation

The Sparks foundation is nonprofit organisation based in singapore, where i worked as Data Science and Business Analytics intern by their Graduate Rotational Internship Program (GRIP). We need to perform various task given by the company, you can see some of the task performed by myself in the repository.

Used-

⁕Language : Python

⁕IDE : Jupyter Notebook

TASK 1: In these task we carried out prediction using Supervised ML -

                      •Find out the percentage of student based on the no. of study hours.
                      •Predicted score if a student studies for 9.25 hours per day.

Data Set of task 1 - http://Bit.ly/w-data

Watch Youtube Video👇

 Prediction using Supervised ML

TASK 2: In these task we carried out prediction using Unsupervised ML-

                      •Predict optimum number of clusters ans represent it visually.

Data Set of task 2 - https://bit.ly/3kXTdox

Watch Youtube Video👇

Prediction using Unsupervised ML

TASK 3: In these task we carried out the exploratory Data Analysis for Retail -

                      •Find out business problem and profit making analysis.

Data Set of task 3 - https://bit.ly/3i4rbWl

Watch Youtube Video👇

Exploratory Data Analysis - Retail

TASK 4: In these task we carried out the exploratory Data Analysis for Terrorism -

                      •Find out hot zones of terrorism,security issues & insights deriving EDA.

Data Set of task 4 - https://bit.ly/2TK5Xn5

Watch Youtube Video👇

Exploratory Data Analysis - Terrorism

TASK 5: In these task we carried out the exploratory Data Analysis for Sports -

                      •Find out most successfull teams, player and factors contributing win or loss of a team.
                      •Suggest teams or players a company should endorse for its product.

Data Set of task 5 - https://bit.ly/34SRn3b

Watch Youtube Video👇

Exploratory Data Analysis - Sports

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