Dara26 / Kalejaiye-Oluwadara-Cardio-Good-Fitness-Project

Cardio fitness data of about 180 people were provided using various cardio fitness products. The objective was to study and analyze which of the products is effective in terms of fitness and usage. The project involved interpretation of statistical output to generate managerial recommendations, using regression as a prediction device and most importantly evaluating and choosing of alternative statistical models. Skills and Tools Univariate analysis, Bi-Variate analysis, Python, Missing Value Treatment, Exploratory Data Analysis ( Variable Identification)

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Cardio Fitness Product Analysis using Python

Cardio fitness data of about 180 people were provided using various cardio fitness products. The objective was to study and analyze which of the products is effective in terms of fitness and usage. The project involved interpretation of statistical output to generate managerial recommendations, using regression as a prediction device and most importantly evaluating and choosing of alternative statistical models.

Skills and Tools

Univariate analysis, Bi-Variate analysis, Python, Missing Value Treatment, Exploratory Data Analysis ( Variable Identification)

About

Cardio fitness data of about 180 people were provided using various cardio fitness products. The objective was to study and analyze which of the products is effective in terms of fitness and usage. The project involved interpretation of statistical output to generate managerial recommendations, using regression as a prediction device and most importantly evaluating and choosing of alternative statistical models. Skills and Tools Univariate analysis, Bi-Variate analysis, Python, Missing Value Treatment, Exploratory Data Analysis ( Variable Identification)


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