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Machine Learning with Python | How to Create Pandas Dataframe | Operations with Pandas Dataset - P1
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Machine Learning with Python | How to Create Pandas Dataframe | Operations with Pandas Dataset - P1
Table of Content
0:00 Introduction
0:28 Topics to be covered
2:20 Import pandas and numpy
2:40 How to save python .py file in spyder
3:29 How to read .csv file in pandas
5:26 How to create a Dataframe
6:08 Run python script through RUN button/command line or line by line
6:35 How to find the type of Object
7:01 How to add columns to Pandas DataFrame
9:08 How to add new at the bottom of a dataframe OR Create a new row
14:26 How to Describe a dataset
14:37 How to view head(first 5 rows) of a dataset
15:16 How to view tail(last 5 rows) of a dataset
15:32 How to view the first n rows of a dataset
16:07 How to view the shape of a dataset
In this Video we cover the below topic:
1. How to create a Dataframe
2. How to Describe a Dataframe
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 Interview Questions
19. Jupyter Notebook Operations
Table of Content
0:00 Introduction
0:28 Topics to be covered
2:20 Import pandas and numpy
2:40 How to save python .py file in spyder
3:29 How to read .csv file in pandas
5:26 How to create a Dataframe
6:08 Run python script through RUN button/command line or line by line
6:35 How to find the type of Object
7:01 How to add columns to Pandas DataFrame
9:08 How to add new at the bottom of a dataframe OR Create a new row
14:26 How to Describe a dataset
14:37 How to view head(first 5 rows) of a dataset
15:16 How to view tail(last 5 rows) of a dataset
15:32 How to view the first n rows of a dataset
16:07 How to view the shape of a dataset
In this Video we cover the below topic:
1. How to create a Dataframe
2. How to Describe a Dataframe
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 Interview Questions
19. Jupyter Notebook Operations
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