A Basic Banking System project for internship at Sparks Foundation.

Task: To predict the percentage of a student based on the number of study hours.

Task: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

This Repository is dedicated to the completion of my Task with video from The Sparks Foundation (Graduate Rotational Internship Program).

Exploratory Data Analysis on Super Store mart using Python. Case study for The Sparks Foundation internship July 2021.

This repository contains a task : Prediction of student's score using Simple Linear Regression provided during an internship at The Sparks Foundation.

The Sparks Foundation Data Science & Business Analytics Internship Tasks

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.

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.

The Sparks Foundation - Data & Business analytics Internship Tasks. TASKS : (1) Task3 : Exploratory Data Analysis- Retail (2) Task6: Prediction using Decision Tree Algorithm

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.

This is an internship task of Data Science & Business Analytics under GRIP JUNE 2021 of The Sparks Foundation Company.

A Basic Banking System project for internship at Sparks Foundation.

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?

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.

TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"