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Deep Learning Foundation : Linear Regression and Statistics

Name: Deep Learning Foundation : Linear Regression and Statistics
Price: 19.99 USD
Availability: InStock

About this course

Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test , Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.

55/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Implement a simple linear regression algorithm from first principles
Perform hypothesis testing on regression results
Explain and calculate unbiased estimators
Apply gradient descent to optimize regression parameters
Interpret basic statistical tests used in model evaluation

Course objectives

Teach core statistical concepts needed for machine‑learning pipelines
Demonstrate how to translate theory into working code
Prepare learners for deeper study of ML and deep‑learning algorithms

Machine Learning Statistics & Probability #machine learning #hypothesis testing #data analysis #data science #statistics #coding #linear regression #gradient descent #statistical tests #unbiased estimators #unbiased estimator #statistical test #regression algorithm #machine learning basics #statistical fundamentals #data science foundation #model evaluation #cost function #parameter estimation

$19.99

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