Pinned Repositories
Anthariksh
Backend
Basic-Projects
Big-Mart-Sales-Prediction
The data scientists at Big Mart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, Big Mart will try to understand the properties of products and stores which play a key role in increasing sales.
devtraining-needit-madrid
This repository is used by the developer site training content, Madrid release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.
Diabetics-Prediction
Flowers
flowerscheck
Image-Search-Engine
java-design-patterns
Design patterns implemented in Java
gopeshgopi's Repositories
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gopeshgopi/java-design-patterns
Design patterns implemented in Java
gopeshgopi/Web-app
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gopeshgopi/Weatherbot_Tutorial
gopeshgopi/devtraining-needit-madrid
This repository is used by the developer site training content, Madrid release. It is used for the Build the NeedIt App, Scripting in ServiceNow, Application Security, Importing Data, Automating Application Logic, Flow Designer, REST Integrations, Reporting and Analytics, Domain Separation, Mobile Applications, and Context-sensitive Help courses.
gopeshgopi/Diabetics-Prediction
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gopeshgopi/Suicides-Analysis-in-India-
Suicide is the act of intentionally causing one's own death. Depression, bipolar disorder, schizophrenia, personality disorders, and substance abuse including alcoholism and the use of benzodiazepinesare risk factors
gopeshgopi/Mushroom-Classification
gopeshgopi/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
gopeshgopi/Big-Mart-Sales-Prediction
The data scientists at Big Mart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, Big Mart will try to understand the properties of products and stores which play a key role in increasing sales.
gopeshgopi/R-Projects