prajwalranjan Goto Github PK

followers: 6.0 following: 4.0 repos: 29.0 gists: 1.0

Name: Prajwal Ranjan

Type: User

Location: India

Blog: https://www.linkedin.com/in/prajwal-ranjan-64907715b/

Prajwal Ranjan's Projects

advanced-dsa-and-cs-theory

All the Concepts, Codes regarding DSA, Interview Preparation and Samsung SWC Test popular questions

codemonksolutions

Some of my solutions of HackerEarth's CodeMonk

coursera-machine-learning-stanford

Machine learning-Stanford University

generative-adversarial-networks-with-limited-data

Patients admitted to the ICU suffer from critical illness or injury and are at high risk of dying. ICU mortality rates differ widely depending on the underlying disease process, with death rates as low as 1 in 20 for patients admitted following elective surgery, and as high as 1 in 4 for patients with respiratory diseases. The risk of death can be approximated by evaluating the severity of a patient’s illness as determined by important physiologic, clinical, and demographic determinants.

kyphosisclassification

CLASSIFICATION OF KYPHOSIS DISEASE Kyphosis is an abnormally excessive convex curvature of the spine. The kyphosis data frame has 81 rows and 4 columns. representing data on children who have had corrective spinal surgery. Dataset contains 3 inputs and 1 output INPUTS: Dataset obtained from Kaggle- https://www.kaggle.com/abbasit/kyphosis-dataset Source: John M. Chambers and Trevor J. Hastie eds. (1992) Statistical Models in S, Wadsworth and Brooks/Cole, Pacific Grove, CA. Dataframe Columns- Age: in months Number: the number of vertebrae involved Start: the number of the first (topmost) vertebra operated on. Kyphosis: a factor with levels absent present indicating if a kyphosis (a type of deformation) was present after the operation. Output to be predicted Kyphosis: a factor with levels absent present indicating if a kyphosis (a type of deformation) was present after the operation.