Patch 1

Exploratory Data Analysis - Retail/README.md

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+<img height="27" src="https://img.shields.io/badge/To explore Business Analytics -Level  Intermediate-orange.svg?&style=for-the-badge&logo=TheSparksFoundation&logoColor=blue"/><br>
+<h1 align="left">Hi <img src="https://github.com/demaria11/Spark_Projects/blob/main/Hi.gif" width="35px">, I am Vedanti & you're Welcome here !!! </h1>
+
+# Author : Vedanti Ekre
+
+# Email: vedantiekre@gmail.com
+
+## Task 5 : Exploratory Data Analysis
+___
+## GRIP @ The Sparks Foundation
+____
+# Role : Data Science and Business Analytics [Batch May-2021]
+
+> Problem Statement:
+- Perform ‘explore Business Analytics’ on dataset ‘superstore.csv’ <br>
+- What all business problems you can derive by exploring the data?<br>
+- You can choose any of the tool of your choice<br>
+(Python/R/Tableau/PowerBI/Excel/SAP/SAS)<br>
+
+> Here is the dataset :
+<a href="https://github.com/vedanti-github/Spark_Projects/blob/main/Exploratory%20Data%20Analysis%20-%20Retail/Retail(Dataset).csv">Dataset.csv</a><br>
+
+> Solution:
+<a href="https://github.com/vedanti-github/THE-SPARKS-FOUNDATION/blob/master/To%20explore%20Business%20Analytics/Task-5.ipynb">To explore Business Analytics </a>

Exploratory Data Analysis - Terrorism/README.md

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+<img height="27" src="https://img.shields.io/badge/Exploratory Data Analysis (Terrorism) -Level  Intermediate-orange.svg?&style=for-the-badge&logo=TheSparksFoundation&logoColor=blue"/><br>
+<h1 align="left">Hi <img src="https://github.com/demaria11/Spark_Projects/blob/main/Hi.gif" width="35px">, I am Vedanti & you're Welcome here !!! </h1>
+
+# Author : Vedanti Ekre
+
+# Email: vedantiekre@gmail.com
+
+## Task 4 : Exploratory Data Analysis
+___
+## GRIP @ The Sparks Foundation
+____
+# Role : Data Science and Business Analytics [Batch May-2021]
+
+
+> Problem Statement:
+- Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ <br>
+- As a security/defense analyst, try to find out the hot zone of terrorism.<br>
+- What all security issues and insights you can derive by EDA?<br>
+- You can choose any of the tool of your choice
+(Python/R/Tableau/PowerBI/Excel/SAP/SAS)<br>
+
+> Here is the dataset :
+<a href="https://bit.ly/2TK5Xn5">Dataset.csv</a><br>
+
+> Solution:
+<a href="https://github.com/vedanti-github/THE-SPARKS-FOUNDATION/blob/master/Exploratory%20Data%20Analysis%20-%20Terrorism/Exploratory%20Data%20Analysis%20-%20Terrorism.ipynb">Exploratory Data Analysis - Terrorism</a>

Prediction using Decision Tree Algorithm/README.md

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+<img height="27" src="https://img.shields.io/badge/Prediction using Supervised ML -Level  Beginner-green.svg?&style=for-the-badge&logo=TheSparksFoundation&logoColor=red" /><br>
+<h1 align="left">Hi <img src="https://github.com/demaria11/Spark_Projects/blob/main/Hi.gif" width="35px">, I am Vedanti & you're Welcome here !!! </h1>
+
+# Author : Vedanti Ekre
+
+# Email: vedantiekre@gmail.com
+
+## Task 3 : Prediction using Decision Tree Algorithm
+___
+## GRIP @ The Sparks Foundation
+____
+# Role : Data Science and Business Analytics [Batch May-2021]
+
+> Problem Statement:
+- Create the Decision Tree classifier and visualize it graphically.<br>
+- The purpose is if we feed any new data to this classifier, it would be able to
+predict the right class accordingly. <br>
+- Use R or Python or perform this task<br>
+> Here is the dataset :
+<a href="https://github.com/vedanti-github/Spark_Projects/blob/main/Prediction%20using%20Decision%20Tree%20Algorithm/Iris27%20.csv">Dataset.csv</a><br>
+
+> Solution:
+<a href="https://github.com/vedanti-github/THE-SPARKS-FOUNDATION/blob/master/Prediction%20using%20Decision%20Tree%20Algorithm/TSF%20task%234.ipynb">Prediction using DecisionTreeAlgorithm </a>

Prediction using Supervised ML/README.md

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+<img height="27" src="https://img.shields.io/badge/Prediction using Supervised ML -Level  Beginner-green.svg?&style=for-the-badge&logo=TheSparksFoundation&logoColor=red" /><br>
+<h1 align="left">Hi <img src="https://github.com/demaria11/Spark_Projects/blob/main/Hi.gif" width="35px">, I am Vedanti & you're Welcome here !!! </h1>
+
+# Author : Vedanti Ekre
+
+# Email: vedantiekre@gmail.com
+
+## Task 1 : Prediction using Supervised Machine Learning
+___
+## GRIP @ The Sparks Foundation
+____
+# Role : Data Science and Business Analytics [Batch May-2021]
+
+> Problem statement :
+- Predict the percentage of an student based on the no. of study hours. <br>
+- This is a simple linear regression task as it involves just 2 variables.<br>
+- You can use R, Python, SAS Enterprise Miner or any other tool.<br>
+- What will be predicted score if a student studies for 9.25 hrs/ day? <br>
+
+> Here is the dataset :
+<a href="https://github.com/vedanti-github/Spark_Projects/blob/main/Prediction%20using%20Supervised%20ML/Student_scores.csv">Dataset.csv</a><br>
+
+> Solution:
+<a href="https://github.com/vedanti-github/Spark_Projects/blob/main/Prediction%20using%20Supervised%20ML/Task_01.ipynb"> Prediction using Supervised ML</a>

Prediction using Supervised ML/student_scores - student_scores.csv → Prediction using Supervised ML/Student_scores.csv

@@ -1,26 +1,26 @@
-Hours,Scores
-2.5,21
-5.1,47
-3.2,27
-8.5,75
-3.5,30
-1.5,20
-9.2,88
-5.5,60
-8.3,81
-2.7,25
-7.7,85
-5.9,62
-4.5,41
-3.3,42
-1.1,17
-8.9,95
-2.5,30
-1.9,24
-6.1,67
-7.4,69
-2.7,30
-4.8,54
-3.8,35
-6.9,76
-7.8,86
+Hours,Scores
+2.5,21
+5.1,47
+3.2,27
+8.5,75
+3.5,30
+1.5,20
+9.2,88
+5.5,60
+8.3,81
+2.7,25
+7.7,85
+5.9,62
+4.5,41
+3.3,42
+1.1,17
+8.9,95
+2.5,30
+1.9,24
+6.1,67
+7.4,69
+2.7,30
+4.8,54
+3.8,35
+6.9,76
+7.8,86