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Learn Logistic Regression, earn certificates with free online courses from Stanford, MIT, University of Michigan, Johns Hopkins and other top universities around the world. Read reviews to decide if a class is right for you.
Learn R Programming Hands-on - Vectors and Data Frames, R Packages & Functions, R in Data Visualization, Apply R for ML
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Prepare for Data Scientist and Machine Learning Engineer interviews by learning the frequently asked interview questions
Learn Machine Learning from scratch. Mathematical & Graphical explanation, Python projects and ebooks
Learn what machine learning is all about in this beginner-level entry course
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis with statsmodels in Python.
In this course you will learn the details of linear classifiers like logistic regression and SVM.
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.
In this course you will learn the basics of machine learning for classification.
Learn to perform linear and logistic regression with multiple explanatory variables.
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.
Learn to build hybrid Python-Swift applications for data science, including cancer prediction models and a BI-RADS app, using tools like Anaconda, Jupyter, and scikit-learn.
Enhance regression analysis skills in R: from OLS to advanced techniques like GLMs, non-linear models, and machine learning approaches. Practical implementation and result interpretation included.
Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.
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