Course description

Machine learning models are trained on historical data and then used to make predictions about future air quality levels based on current and forecasted weather conditions, emission levels, and other relevant data. These predictions can help government agencies, healthcare providers, and individuals take proactive measures to protect public health and the environment.

What will i learn?

• Understanding the problem statement.
• Understanding different libraries and their respective uses.
• In depth exploratory data analysis of each feature.
• Data visulization and preprocessing.
• Creating custom functions for machine learning models
• In depth explanation of data imputation and filling missing data.
• Defining an approach to solve ML classification problems.
• Data preperation for Machine Learning model.
• Training and testing the model using cross validation.