Skip to content

Latest commit

 

History

History
53 lines (38 loc) · 978 Bytes

File metadata and controls

53 lines (38 loc) · 978 Bytes

Topic Name : Diabetes Prediction Using Machine Learning.

Problem Statement :

Machine learning approach to detect whether patient has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied for this.

Participants Name :

Donkeshwar Kavyasree
Swati Mourya Hari Jagadeesh Iyer

MENTOR :

Durga Sai

Techniques Used :

Data Cleaning Data Visualization Machine Learning Modeling

Algortihms Used :

Logistic Regression Support Vector Machine KNN Random Forest Classifier Naivye Bayes Gradient Boosting

Model Evaluation Methods Used

Accuracy Score ROC AUC Curve Cross Validation Confusion Matrix

Guide Lines

Packages and Tools Required:
Pandas 
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook

Package Installation

pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib