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Basic Statistics and Regression for Machine Learning in Python

You're reading from   Basic Statistics and Regression for Machine Learning in Python A quick and easy guide on statistical regression for machine learning

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Product type Video
Published in Oct 2021
Publisher Packt
ISBN-13 9781803238487
Length 5hrs 5mins
Edition 1st Edition
Languages
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Author (1):
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Abhilash Nelson Abhilash Nelson
Author Profile Icon Abhilash Nelson
Abhilash Nelson
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Table of Contents (49) Chapters Close

1. Introduction to the Course FREE CHAPTER 2. Environment Setup – Preparing your Computer 3. Essential Components Included in Anaconda 4. Python Basics - Assignment 5. Python Basics - Flow Control 6. Python Basics - List and Tuples 7. Python Basics - Dictionary and Functions 8. NumPy Basics 9. Matplotlib Basics 10. Basics of Data for Machine Learning 11. Central Data Tendency - Mean 12. Central Data Tendency - Median and Mode 13. Variance and Standard Deviation Manual Calculation 14. Variance and Standard Deviation using Python 15. Percentile Manual Calculation 16. Percentile using Python 17. Uniform Distribution 18. Normal Distribution 19. Manual Z-Score calculation 20. Z-Score calculation using Python 21. Multi Variable Dataset Scatter Plot 22. Introduction to Linear Regression 23. Manually Finding Linear Regression Correlation Coefficient 24. Manually Finding Linear Regression Slope Equation 25. Manually Predicting the Future Value Using Equation 26. Linear Regression Using Python Introduction 27. Linear Regression Using Python 28. Strong and Weak Linear Regression 29. Predicting Future Value Using Linear Regression in Python 30. Polynomial Regression Introduction 31. Polynomial Regression Visualization 32. Polynomial Regression Prediction and R2 Value 33. Polynomial Regression Finding SD Components 34. Polynomial Regression Manual Method Equations 35. Finding SD Components for abc 36. Finding abc 37. Polynomial Regression Equation and Prediction 38. Polynomial Regression coefficient 39. Multiple Regression Introduction 40. Multiple Regression Using Python - Data Import as CSV 41. Multiple Regression Using Python - Data Visualization 42. Creating Multiple Regression Object and Prediction Using Python 43. Manual Multiple Regression - Intro and Finding Means 44. Manual Multiple Regression - Finding Components 45. Manual Multiple Regression - Finding abc 46. Manual Multiple Regression Equation Prediction and Coefficients 47. Feature Scaling Introduction 48. Standardization Scaling Using Python 49. Standardization Scaling Using Manual Calculation
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Basic Statistics and Regression for Machine Learning in Python [Video]
Published in: Oct 2021
Publisher: Packt
ISBN-13: 9781803238487
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