Linear Regression in Python | Simple Linear Regression | Linear Regression Analysis
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*Linear Regression in Python |
*Linear Regression in Python | Simple Linear Regression | Linear Regression Analysis *
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Ready to uncover trends in your data?
This Linear Regression in Python video dives into Simple Linear Regression in Python, a powerful tool for modeling linear relationships between two variables.
Learn how to:
- Check assumptions: Ensure your data meets the key requirements for linear regression.
- Explore your data: Gain insights from your data by reading and understanding its characteristics.
- Build a linear model: Construct a mathematical model that captures the relationship between your variables.
- Analyze residuals: Evaluate how well your model fits the data and identify potential issues.
- Make predictions: Use your model to forecast future values based on new data.
This Linear Regression in Python video dives into :
The core concepts of regression and linear regression.
How to calculate the residual sum of squares (RSS).
The key assumptions for using simple linear regression.
How to build a linear model and make predictions using Python.
Techniques for analyzing residuals to assess model fit.
By the end of this Linear Regression in Python video, you'll be able to:
Explain the basics of simple linear regression.
Apply linear regression in Python to analyze your data.
Use residual analysis to evaluate your model's effectiveness.
Get started with linear regression today! Watch Simple Linear Regression in Python now and unlock the power of this essential statistical technique.
Topics Covered 👇:
00:11 - Regression
00:40 - Example 1
02:21 - Example 2
03:42 - Simple Linear Regression
11:09 - RSS
27:12 - Statics Simple Linear Regression
29:30 - Assumptions of Simple Linear Regression
34:41 - What does Simple Linear Regression do?
39:41 - Reading and understanding the data
53:46 - Building a Linear model
01:15:10 - Residual analysis and predictions
#SimpleLinearRegressioninPython #LinearRegressioninPython #SimpleLinearRegression #LinearRegression #Regression #python #data #linearmodel #analysis #upgrad
🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://bit.ly/3M2qSOo
🟢 Wish to get started with your upskilling journey? Schedule a free counseling session - https://bit.ly/3lR4mgP
🟢 Speak to one of our 70,000 alumni to get all your doubts answered - https://bit.ly/40rsztn
Get in touch with us (24x7):
Toll-Free number: 1800 210 2020
WhatsApp Chat: +91 8454 888 222
🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-m...
🔥IIIT Bangalore Post Graduate Programme in Data Science & AI: https://www.upgrad.com/data-science-p...
🔥Graduate Certificate Programme in Data Science & AI: https://www.upgrad.com/graduate-certi...
🔥Become a Skilled and Job-Ready Data Scientist: https://www.upgrad.com/bootcamps/job-...
Ready to uncover trends in your data?
This Linear Regression in Python video dives into Simple Linear Regression in Python, a powerful tool for modeling linear relationships between two variables.
Learn how to:
- Check assumptions: Ensure your data meets the key requirements for linear regression.
- Explore your data: Gain insights from your data by reading and understanding its characteristics.
- Build a linear model: Construct a mathematical model that captures the relationship between your variables.
- Analyze residuals: Evaluate how well your model fits the data and identify potential issues.
- Make predictions: Use your model to forecast future values based on new data.
This Linear Regression in Python video dives into :
The core concepts of regression and linear regression.
How to calculate the residual sum of squares (RSS).
The key assumptions for using simple linear regression.
How to build a linear model and make predictions using Python.
Techniques for analyzing residuals to assess model fit.
By the end of this Linear Regression in Python video, you'll be able to:
Explain the basics of simple linear regression.
Apply linear regression in Python to analyze your data.
Use residual analysis to evaluate your model's effectiveness.
Get started with linear regression today! Watch Simple Linear Regression in Python now and unlock the power of this essential statistical technique.
Topics Covered 👇:
00:11 - Regression
00:40 - Example 1
02:21 - Example 2
03:42 - Simple Linear Regression
11:09 - RSS
27:12 - Statics Simple Linear Regression
29:30 - Assumptions of Simple Linear Regression
34:41 - What does Simple Linear Regression do?
39:41 - Reading and understanding the data
53:46 - Building a Linear model
01:15:10 - Residual analysis and predictions
#SimpleLinearRegressioninPython #LinearRegressioninPython #SimpleLinearRegression #LinearRegression #Regression #python #data #linearmodel #analysis #upgrad
🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://bit.ly/3M2qSOo
🟢 Wish to get started with your upskilling journey? Schedule a free counseling session - https://bit.ly/3lR4mgP
🟢 Speak to one of our 70,000 alumni to get all your doubts answered - https://bit.ly/40rsztn
Get in touch with us (24x7):
Toll-Free number: 1800 210 2020
WhatsApp Chat: +91 8454 888 222
2 ماه پیش
در تاریخ 1403/03/04 منتشر شده
است.
261
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