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A project on “World Happiness Visualization and Prediction” to analyze Happiness Score of different countries across the world. Machine learning Regressor model has been trained on the dataset that predicts happiness score of a specific country based on certain parameters.

Gukal7/World-Happiness-Visualization-and-Prediction

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World-Happiness-Visualization-and-Prediction

A project on “World Happiness Visualization and Prediction” to analyze Happiness Score of different countries across the world. A machine learning model has been trained on the dataset that predicts happiness score of a specific country based on certain parameters.

This notebook is inspired from the Kaggle kernel: https://www.kaggle.com/javadzabihi/happiness-2017-visualization-prediction in which Visualization + Prediction is done using R language. In this notebook Visualization + Prediction is done using Python language.

Dataset - Dataset is taken from https://www.kaggle.com/unsdsn/world-happiness but updated with a column named "Continent".

This project is also submitted at this Kaggle kernel - https://www.kaggle.com/gurkanwalkang/happiness-visualization-prediction-using-python

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A project on “World Happiness Visualization and Prediction” to analyze Happiness Score of different countries across the world. Machine learning Regressor model has been trained on the dataset that predicts happiness score of a specific country based on certain parameters.

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