Pakistan Food Price Analysis

• Tech Stack: Python (version 3.7+), numpy, pandas, matplotlib, plotly, seaborn, linear_model, svm, MLPRegressor, RandomForestRegressor, AdaBoostRegressor, DecisionTreeRegressor, mean_squared_error, mean_absolute_error, r2_score, explained_variance_score preprocessing -> LabelEncod
• Github URL: Project Link

The primary goal of this data science project is to analyze and understand the trends, patterns, and factors influencing food prices in Pakistan. By leveraging data, the project aims to provide valuable insights for policymakers, researchers, and the general public to make informed decisions about food consumption, pricing strategies, and potential interventions. The dataset that used is from kaggle. Dataset contains food prices data for Pakistan, sourced from the World Food Programmed Price Database. Data Set is contains on 9723 rows x 14 columns.