Using Python OOP, I created a ML algorithm to train and test a train crash model. Data was shared in a class project; I did Exploratory Data Analysis, Data cleaning and analysis, selecting factors to train a multiple regression model, and tested its accuracy and drew visualizations using matplotlib and seaborn libraries.
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Using Python OOP, I created a ML algorithm to train and test a train crash model. Data was shared in a class project; I did Exploratory Data Analysis, Data cleaning and analysis, selecting factors to train a multiple regression model, and tested its accuracy and drew visualizations using matplotlib and seaborn libraries.
TazeenRashid/Training-Supervised-Model-of-Train-Crash
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Using Python OOP, I created a ML algorithm to train and test a train crash model. Data was shared in a class project; I did Exploratory Data Analysis, Data cleaning and analysis, selecting factors to train a multiple regression model, and tested its accuracy and drew visualizations using matplotlib and seaborn libraries.
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