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Python 3 Basics # 14 | Python Emojis | Emoji | Emoji in Python | Python for Beginners
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Python 3 Basics # 14 | Python Emojis | Emoji | Emoji in Python | Python for Beginners
Python 3 Basics - Session # 14
Topic to be covered - emoji in Python
Method 2 - Using emoji package
print('\U0001F600')
print('\U0001F642')
print('\U0001F607')
import emoji
All the 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. Data Preprocessing in Machine Learning
16. Sklearn Scikit Learn Machine Learning
17. Linear Regression, Supervised Machine Learning
18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
19. Jupyter Notebook Operations
Python 3 Basics - Session # 14
Topic to be covered - emoji in Python
Method 2 - Using emoji package
print('\U0001F600')
print('\U0001F642')
print('\U0001F607')
import emoji
All the 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. Data Preprocessing in Machine Learning
16. Sklearn Scikit Learn Machine Learning
17. Linear Regression, Supervised Machine Learning
18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
19. Jupyter Notebook Operations
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