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Statistics with Python | Machine Learning | Standard Deviation & Variance - P5
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Statistics with Python | Machine Learning | Standard Deviation & Variance - P5
What is Standard Deviation?
In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indicates that the values are spread out over a wider range
What is Variance?
In statistics, Variance is a measurement of the spread between numbers in a data set. That is, it measures how far each number in the set is from the mean and therefore from every other number in the set
Code Starts Here
===============
import numpy as np
y = [0,1,2,3,4,5,6,7,8]
All Playlist of this youtube channel
====================================
1. Data Preprocessing in Machine Learning
2. Confusion Matrix in Machine Learning, ML, AI
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
4. Cross Validation, Sampling, train test split in Machine Learning
5. Drop and Delete Operations in Python Pandas
6. Matrices and Vectors with python
7. Detect Outliers in Machine Learning
8. TimeSeries preprocessing in Machine Learning
9. Handling Missing Values in Machine Learning
10. Dummy Encoding Encoding in Machine Learning
11. Data Visualisation with Python, Seaborn, Matplotlib
12. Feature Scaling in Machine Learning
13. Python 3 basics for Beginner
14. Statistics with Python
15. Sklearn Scikit Learn Machine Learning
16. Python Pandas Dataframe Operations
17. Linear Regression, Supervised Machine Learning
18 Interiew Questions
19. Jupyter Notebook Operations
What is Standard Deviation?
In statistics, the standard deviation is a measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean of the set, while a high standard deviation indicates that the values are spread out over a wider range
What is Variance?
In statistics, Variance is a measurement of the spread between numbers in a data set. That is, it measures how far each number in the set is from the mean and therefore from every other number in the set
Code Starts Here
===============
import numpy as np
y = [0,1,2,3,4,5,6,7,8]
All Playlist of this youtube channel
====================================
1. Data Preprocessing in Machine Learning
2. Confusion Matrix in Machine Learning, ML, AI
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
4. Cross Validation, Sampling, train test split in Machine Learning
5. Drop and Delete Operations in Python Pandas
6. Matrices and Vectors with python
7. Detect Outliers in Machine Learning
8. TimeSeries preprocessing in Machine Learning
9. Handling Missing Values in Machine Learning
10. Dummy Encoding Encoding in Machine Learning
11. Data Visualisation with Python, Seaborn, Matplotlib
12. Feature Scaling in Machine Learning
13. Python 3 basics for Beginner
14. Statistics with Python
15. Sklearn Scikit Learn Machine Learning
16. Python Pandas Dataframe Operations
17. Linear Regression, Supervised Machine Learning
18 Interiew Questions
19. Jupyter Notebook Operations
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