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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.
Prediction using Supervised Machine Learning [ Task1 ] [simple linear regression]
The Sparks Foundation - Data & Business analytics Internship Tasks. TASKS : (1) Task3 : Exploratory Data Analysis- Retail (2) Task6: Prediction using Decision Tree Algorithm
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.
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.
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.
The Sparks Foundation Data Science & Business Analytics Internship Tasks
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.
Data Science and Business Analytics Intern task submission.
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.
This is an internship task of Data Science & Business Analytics under GRIP JUNE 2021 of The Sparks Foundation Company.
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.
TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"
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.
A Basic Banking System project for internship at Sparks Foundation.
Tasks and assignments during the data science intern at TSF
Includes tasks completed during the data-science internship at The Spark Foundation.
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?