Machine Learning and Deep Learning Projects

Overview

This repository contains various machine learning and deep learning projects. This project aims to predict diabetes based on various health indicators.

Project Structure

• Diabetes.ipynb/: This file contains a project to predict diabetes using classical machine learning techniques.

Diabetes

Overview

This project aims to predict diabetes based on various health indicators. The project uses the following tools and libraries:

• Numpy: For numerical computations.
• Pandas: For data manipulation and analysis.
• Matplotlib: For data visualization.
• KNeighborsClassifier: For the initial machine learning model.
• Cross-validation: For improving the model's accuracy.

Steps

1. Data Preprocessing:

   • Load the dataset using Pandas.
   • Clean and preprocess the data.
   • Visualize the data using Matplotlib.

2. Model Training:

   • Train a KNeighborsClassifier model.
   • Achieve an initial accuracy of 0.68.

3. Model Improvement:

   • Apply cross-validation to the model.
   • Improve the accuracy to 0.77.

Steps

1. Clone the repository:

   git clone https://github.com/dostonshernazarov/Diabetes_models.git
   cd Diabetes_models

2. Navigate to the project directory and run the Jupyter notebooks:

   jupyter notebook