Python 3 Basics # 17.2 | Python Sets | How to Create Python Sets | How to Create empty python sets
Python 3 Basics # 17.2 | Python Sets | How to Create Python Sets | How to Create empty python sets
Define Sets
1. What is a Python Set
2. How to define a Python Set
3. How to define empty Sets
Python Sets
A set is a collection of unique objects.
Set is basically used in removing duplicates.
Sets are used to store multiple items in a single variable.
Set is one of the 4 built-in data types in Python (others are List, Tuple and Dictionary)
Set is a collection which is both unindexed and unordered.
Set items are unordered and unchangeable which doesn’t allows duplicates.
All Playlist of this youtube channel
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1. Data Preprocessing in Machine Learning
• Data Preprocessing in Machine Learning| Li...
2. Confusion Matrix in Machine Learning, ML, AI
• Confusion Matrix in Machine Learning, ML, AI
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
• Anaconda | Python Installation | Spyder | ...
4. Cross Validation, Sampling, train test split in Machine Learning
• Cross Validation | Sampling | train test s...
5. Drop and Delete Operations in Python Pandas
• Drop and Delete Operations in Python Pandas
6. Matrices and Vectors with python
• Matrices and Vectors with python
7. Detect Outliers in Machine Learning
• Detect Outliers in Machine Learning
8. TimeSeries preprocessing in Machine Learning
• TimeSeries preprocessing in Machine Learning
9. Handling Missing Values in Machine Learning
• Handling Missing Values in Machine Learning
10. Dummy Encoding Encoding in Machine Learning
• Label Encoding, One hot Encoding, Dummy En...
11. Data Visualisation with Python, Seaborn, Matplotlib
• Data Visualisation with Python, Matplotlib...
12. Feature Scaling in Machine Learning
• Feature Scaling in Machine Learning
13. Python 3 basics for Beginner
• Python | Python 3 Basics | Python for Begi...
14. Statistics with Python
• Statistics with Python
15. Sklearn Scikit Learn Machine Learning
• Sklearn Scikit Learn Machine Learning
16. Python Pandas Dataframe Operations
• Python Pandas Dataframe Operations
17. Linear Regression, Supervised Machine Learning
• Linear Regression | Supervised Machine Lea...
18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
• Interview Question for Machine Learning, D...
19. Jupyter Notebook Operations
• Jupyter and Spyder Notebook Operations in ...
20. Logistic Regresion in Machine Learning, Data Science
• Logistic Regression | Classification | Mac...
21. Learn Microsoft Excel Basics
• Microsoft Excel 2019, 2016, 2013, 2010, 2007
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