/Polynomial-Regression-using-Numpy

Polynomial Linear Regression model using NumPy.

Primary LanguageJupyter NotebookMIT LicenseMIT

Polynomial Linear Regression for Sports Analysis

Overview

In this project, we aim to build a polynomial regression model for predicting the points scored by a sports team.

Data Description

The dataset contains information about the points scored by sports teams based on various attributes.

Tech Stack

  • Language: Python
  • Libraries: pandas, numpy, scipy, matplotlib, seaborn, scikit-learn, statsmodels

Approach

  1. Data Preprocessing:

    • Outlier removal
    • Imputing null values
    • One-hot encoding

  2. Model Building:

    • Linear regression model building
    • Polynomial regression model building

  3. Model Evaluation:

    • Evaluating the model on test data
    • Discussion of various regression metrics like R-squared, AIC, AICC, F-statistics