The-Sparks-Foundation - Data Science Internship

Author - Manjiri Sawant

Data Science & Business Analytics Tasks

• Prediction Using Supervised ML

  • Tool Used Python Jupyter Notebook
  • Dataset: http://bit.ly/w-data
  • Problem Statement : What will be predicted score if a student studies for 9.25 hrs/ day?
  • Here is the solution :
  • Code : https://github.com/ManjiriSDS/The-Spark-Foundation/blob/main/Task%201%20The%20Sparks%20Foundation.ipynb
  • Recorded Output in a Video :

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• Prediction Using Unsupervised ML (Level - Beginner)

  • Dataset: https://bit.ly/3kXTdox
  • Here is the solution :
  • Code : https://github.com/ManjiriSDS/The-Spark-Foundation/blob/main/Task%202%20The%20Sparks%20Foundation.ipynb
  • Recorded Output in a Video : https://www.youtube.com/watch?v=Tk7fWt_TNcs&t=2s

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• Prediction Using Decision Tree Algorithm (Level - Intermediate)

  • Dataset: https://bit.ly/3kXTdox
  • Problem Statement : If we feed any new data to this classifier, it would be able to predict the right class accordingly.
  • Here is the solution :
  • Code : https://github.com/ManjiriSDS/The-Spark-Foundation/blob/main/Task%206%20The%20Sparks%20Foundation.ipynb
  • Recorded Output in a Video : https://www.youtube.com/watch?v=ubZ2saIFQj0&t=5s

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• Exploratory Data Analysis - Sports (Level - Advanced)

  • Dataset: https://bit.ly/34SRn3b
  • Problem Statement : As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team. Suggest teams or players a company should endorse for its products.
  • Here is the solution :
  • Dashboard : https://public.tableau.com/profile/sonu75769#!/vizhome/IPLSportEDA/Dashboard1
  • Recorded Output in a Video : https://www.youtube.com/watch?v=Gu-IBUyP-CU&t=2s

Sr No.	Project	Description	Problem Statement	Status
	BEGINNER
1	Prediction Using Supervised ML	Predict the percentage of a student based on the no. of study hours. This is the simple Linear Regression task as it involve just 2 variables.	What will be predicted score if a student studies for 9.25 hrs/ day?	☑
2	Prediction Using Unsupervised ML	Iris Dataset	From the given 'Iris' dataset, predict the optimal number of clusters and represent it visually.	☑
	INTERMEDIATE
3	Prediction Using Decision Tree Algorithm	Create the Decision Tree classifier and visualize it graphically.	If we feed any new data to this classifier, it would be able to predict the right class accordingly.	☑
	ADVANCED
4	Exploratory Data Analysis - Sports	Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’.	As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team. Suggest teams or players a company should endorse for its products.	☑