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Chandan Kumar Singh's Projects

cypress-realworld-app icon cypress-realworld-app

A payment application to demonstrate real-world usage of Cypress testing methods, patterns, and workflows.

data-structures icon data-structures

Linked list, stack, queue,circular queue, priority queue,linear serach,bubble sort,insertion sort, selection sort

decision-tree-and-random-forest-project icon decision-tree-and-random-forest-project

In this we have the notes of the Decision Tree and Random Forest and also the Lending Club company prediction that wheather an Investor borrow is money to borrower or not based upon the different reasons.

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

docker-osx icon docker-osx

Run Mac in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X!

ds-algo icon ds-algo

Implementation of Data structures and Algorithms at Apni Kaksha Java Placement Course

gate-and-cse-resources-for-students icon gate-and-cse-resources-for-students

๐Ÿ“š ๐Ÿ“– ๐Ÿ“šCSE GATE Resources for GATE and CSE Aspirants ๐Ÿ˜Ž ๐Ÿ˜ . Show your โค๏ธ by โญ๏ธโญ๏ธ

java icon java

All Algorithms implemented in Java

knn-k-nearest-model-project icon knn-k-nearest-model-project

we are choosing a data set whose columns details are not known that is the columns name is the coded basically so we dont know much about this. now the data which this data set is containing is on different different scale. So we need to STANDARIZE the data and TRANSFORM this data.In this project we will try to predict the Target column. This target variable is binary in nature that is 1 or 0.

leetcode icon leetcode

๐Ÿ˜ LeetCode solutions in any programming language | ๅคš็ง็ผ–็จ‹่ฏญ่จ€ๅฎž็Žฐ LeetCodeใ€ใ€Šๅ‰‘ๆŒ‡ Offer๏ผˆ็ฌฌ 2 ็‰ˆ๏ผ‰ใ€‹ใ€ใ€Š็จ‹ๅบๅ‘˜้ข่ฏ•้‡‘ๅ…ธ๏ผˆ็ฌฌ 6 ็‰ˆ๏ผ‰ใ€‹้ข˜่งฃ

linear-regression icon linear-regression

Created a Model for an organisation which is predicting that wheather the Organisation should more Emphasise on Website or on the MOBILE APP development based on their customer data(KAGGLE DATASET)

logistic-regreesion-model icon logistic-regreesion-model

In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user.

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