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This regression model involves predicting the average life expectancy of a country's population using the dataset given.

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LifeExpectancy-Regression

This regression model involves predicting the average life expectancy of a country's population using the dataset given. Various Regression models have been used and the accuracy is calculated using K fold cross validation. Piplined have been used to implement StandardScaling along with model fitting.

Techniques used

Data Cleaning

Data Visualization

Machine Learning Modelling

Algorithms used

  1. Linear Regression

  2. Random Forest

  3. Gradient Boosting

  4. Support Vector Regressor

  5. Ridge Regression

  6. Lasso Regression

Libraries/Tools used

  1. Numpy

  2. Pandas

  3. 3.Seaborn

  4. MatPLotLib

  5. Scikit-Learn

  6. Google Colab

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This regression model involves predicting the average life expectancy of a country's population using the dataset given.

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