Data-Science-Project

A python project which includes Exploratory Data Analysis , Visualizations and implementation of 2 ML models(Random Forest and KNN).

Structure of the project:

1. Introduction
   1. Problem Definition
   2. Utilized Datasets
2. Data Exploration
   1. Clearing the Data
   2. Visualization and Hypothesization
3. Machine Learning Models
   1. Implementation
      1. Random Forest
      2. KNN
   2. Results & Discussion
      1. Comparison Between Models
         1. With ROC and AUC
         2. With Confusion Matrices
      2. Importance of Features
4. Conclusion