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Data Science & ML track

Regression

Linear, ridge, lasso, polynomial regression and diagnostics.

8 concepts1 projects1 challenges
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Concepts

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1

Linear Regression

Concept · Hands-on lab included

2

Regression Metrics

Concept · Hands-on lab included

3

Multiple Linear Regression

Concept · Hands-on lab included

4

Polynomial Regression

Concept · Hands-on lab included

5

Gradient Descent

Concept · Hands-on lab included

6

Regularization: Ridge and Lasso

Concept · Hands-on lab included

7

Regression Diagnostics

Concept · Hands-on lab included

8

Linear Regression Pitfalls

Concept · Hands-on lab included

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Projects

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intermediate

House Price Regression Pipeline

A complete, diagnosable regression model with reserve metrics and feature engineering

14 hrs
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Next modules

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Mathematics

Linear algebra, calculus and notation needed for machine learning.

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Statistics

Distributions, estimators, hypothesis testing and statistical inference.

0%

Python

Scientific Python stack: environments, typing, numpy-style thinking.

DevOpsForge - Data Science & ML · Regression
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