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Learn Linear Regression, earn certificates with free online courses from Harvard, Stanford and other top universities around the world. Read reviews to decide if a class is right for you.
Explore advanced concepts in classical linear regression, focusing on model interpretation, diagnostics, and practical applications in statistical analysis.
Explore advanced concepts of classical linear regression, including model assumptions, estimation techniques, and statistical inference for robust data analysis.
Explore linear regression concepts, techniques, and applications for data analysis and predictive modeling.
Explore advanced concepts of classical linear regression, including model assumptions, parameter estimation, and statistical inference techniques.
Master linear regression fundamentals by building a model from scratch using scikit-learn, covering data preparation, training, evaluation, and real-world applications with California housing data.
Master linear regression techniques in R while exploring parameter estimation and random variable estimators through hands-on statistical analysis and practical applications.
Master linear regression fundamentals, from basic concepts to least squares method, while learning how to apply these techniques for effective data analysis and predictive modeling.
Dive into advanced linear regression concepts, exploring overfitting, gradient descent, and practical plotting techniques for enhanced machine learning understanding.
Dive into least mean square regression, exploring loss function minimization and gradient descent methods for effective linear regression implementation and optimization.
Master linear regression fundamentals through least mean square method, loss function minimization, and gradient descent techniques for practical machine learning applications.
Implement Linear Regression using Python and Numpy, focusing on practical aspects like optimization algorithms and training processes. Gain hands-on experience in fundamental machine learning concepts.
Learn to predict one variable based on another using simple linear regression, applicable across industries. Gain practical skills for your portfolio and future interviews.
Comprehensive exploration of linear regression in machine learning, covering key concepts, applications, and implementation in Python. Ideal for beginners seeking practical understanding of predictive modeling.
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.
Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.
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