Tasks and assignments during the data science intern at TSF
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Updated
Aug 17, 2020 - Jupyter Notebook
Tasks and assignments during the data science intern at TSF
Predict the percentage of a student based on the no. of study hours. Dataset can be found at: http://bit.ly/w-data Required prediction - What will be predicted score if a student studies for 9.25 hrs/ day?
A Basic Banking System project for internship at Sparks Foundation.
This is an internship task of Data Science & Business Analytics under GRIP JUNE 2021 of The Sparks Foundation Company.
This is task 2 of The Sparks Foundation GRIPNOV20. This repository is basically focused on Unsupervised Machine Learning. I used K-Means Clustering Algorithm to make clusters of Iris dataset.
This repository contains my completion of the Payment Gateway Integration task in the Graduate Rotational Internship Program (GRIP) at The Sparks Foundation as a Web Development Intern.
A Basic Banking System project for internship at Sparks Foundation.
TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"
Includes tasks completed during the data-science internship at The Spark Foundation.
This is simple and easy Machine Learning model. In this we have to predict the score of a student based on his/her study hours. This is supervised learning problem. So, I used simple Linear Regression algorithm. Also, I deployed this model on Heroku.
Repository of all my task submitted during internship at The Spark Foundation.
Data Science and Business Analytics Intern task submission.
This is my first task by "The Sparks Foundation". They provided me with an excellent opportunity to learn and demonstrate my abilities. This is a basic linear regression model that allows us to predict the student's grades based on the number of hours studied.
This is simple automatic Iris plant classifier using Decision Tree Classifier algorithm and Heroku Cloud Application Platform. This app takes input as features of Iris plant and classify it using Decision Tree Classifier algorithm.
The Sparks Foundation Data Science & Business Analytics Internship Tasks
Prediction using Supervised Machine Learning [ Task1 ] [simple linear regression]
This repository showcases a basic website and payment gateway integration created during my web development internship at The Sparks Foundation (GRIP). The project highlights key web development techniques and the implementation of a secure payment gateway to facilitate transactions.
A simple banking system website wherein money can be transfered to and from customers. A ledger is maintained for viewing the customer details as well as the history of transactions. Created using HTML, CSS, JavaScript, PHP with MySQL database.
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