Statistical Learning with Python (Free Online Course) : Statistical learning is a vital component of data science and machine learning, providing the foundation for making data-driven predictions and insights. In “Statistical Learning with Python,” you’ll explore key statistical concepts and how they are applied using Python, one of the most popular programming languages in the field.
This course will cover topics such as regression, classification, and model evaluation, equipping you with practical skills to analyze and interpret data. You’ll learn how to use Python libraries like NumPy, pandas, and scikit-learn to implement statistical models and solve real-world problems. By the end of this course, you’ll have a strong grasp of statistical learning techniques and be ready to apply them in various fields, from business analytics to scientific research. Dive in and enhance your understanding of statistical learning with Python!
What You Will Learn?
| Overview of statistical learning, Linear regression, Classificaiton |
| Resampling methods, Linear model selection and regularization, Moving beyond linearity |
| Tree-based methods, Support vector machines, Deep learning |
| Survival modeling, Unsupervised learning, Multiple testing |
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Edx Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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