The Ultimate Linear Regression Guide just in 30 minutes for beginners# ISC Examination.

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Linear Regression Explained |
X on y and Y on x

#LinearRegression
#y on x # x on y
#Regression coefficient
# coefficient of correlation

Welcome to our video on linear regression! In this video, we'll explore the fundamentals of linear regression, its applications, and all fundamental.

What is Linear Regression?

Linear regression is a supervised learning algorithm used for predicting continuous outcomes. It's a powerful tool for modeling relationships between variables.

#LinearRegressionDefinition #SupervisedLearning

Types of Linear Regression

1. Y on x
2.x on y

#SimpleLinearRegression #MultipleLinearRegression

Assumptions of Linear Regression

1. Linearity
2. Independence
3. Homoscedasticity
4. Normality
5. No multicollinearity

#LinearRegressionAssumptions

Linear Regression Equation

Y = β0 + β1X + ε

#LinearRegressionEquation

Cost Function

Gradient Descent

#GradientDescent

We'll use scikit-learn and pandas to implement linear regression.

Real-World Applications

1. Predicting house prices
2. Forecasting sales
3. Analyzing stock prices

#LinearRegressionApplications

Common Errors

1. Overfitting
2. Underfitting

#LinearRegressionErrors

Conclusion

Linear regression is a powerful tool for predictive modeling. Mastering linear regression will enhance your data science skills.

#LinearRegressionConclusion

Additional Resources

- Linear Regression Tutorial by DataCamp
- Linear Regression Course by Coursera
- Linear Regression Book by Springer

#LinearRegressionResources

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Timestamps

0:00 - Introduction
2:00 - What is Linear Regression?
5:00 - Types of Linear Regression
10:00 - Assumptions of Linear Regression
15:00 - Linear Regression Equation
20:00 - Cost Function
25:00 - Gradient Descent

40:00 - Real-World Applications
45:00 - Common Errors
50:00 - Conclusion

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#LinearRegression
#MachineLearning
#PredictiveModeling
#DataScience
#Statistics
#SupervisedLearning
#SimpleLinearRegression
#MultipleLinearRegression
#LinearRegressionAssumptions
#LinearRegressionEquation

#LinearRegressionApplications
#LinearRegressionErrors
#LinearRegressionConclusion
#LinearRegressionResources
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[MuskanSingh-dd]

Thankyou sir thiss is very helpful for us🫡💯..