What you’ll learn
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Learn how to solve real life problem using the Linear and Logistic Regression technique
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Preliminary analysis of data using Univariate and Bivariate analysis before running regression analysis
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Understand how to interpret the result of Linear and Logistic Regression model and translate them into actionable insight
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Indepth knowledge of data collection and data preprocessing for Linear and Logistic Regression problem
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Basic statistics using Numpy library in Python
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Data representation using Seaborn library in Python
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Linear Regression technique of Machine Learning using Scikit Learn and Statsmodel libraries of Python
