The Complete Linear and Logistic Regression Course in Python

About this course

Are you interested in Machine Learning, Deep Learning, and Artificial Intelligence? Then this course is for you!A software engineer has designed this course. With the experience and knowledge I gained throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries.I will walk you into the world of the Naive Bayes Algorithm. These are fundamental concepts in machine learning, deep learning, and artificial intelligence. Understanding these basic concepts makes it easier to understand more complex concepts in machine learning, deep learning, and artificial intelligence. There are no courses out there that cover Naive Bayes Algorithm. However, Naive Bayes Algorithm techniques are used in many applications. So it is essential to learn and understand Linear and Logistic Regression. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.This course is fun and exciting, but at the same time, we dive deep into Linear and Logistic Regression. Throughout the brand new version of the course, we cover tons of tools and technologies, including:Google ColabScikit-learnLogistic Regression.Linear Regression.SeabornLasso and Ridge RegressionKeras.Pandas.TensorFlow.  TensorBoardMatplotlib.Elastic Net RegressionImport data from the UCI repository.Multiple and multivariate linear regression.TensorFlow Keras APIMoreover, the course is packed with practical exercises based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your models. There are several big projects in this course. These projects are listed

Course objectives

• Build foundational skills in machine learning concepts
• Complete projects related to Linear and Logistic Regression
• Gain proficiency in using data analysis and modeling tools