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Python Pandas Data Science Tutorial
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Welcome to this course on Data Science For Beginners With Python Pandas. Learn how Perform a Many of data operations in Python's popular Pandas library. Learn how Perform a Many of data operations in Python's popular Seaborn library. Seaborn is a Python data visualization library based on matplotlib.
🐼 Content 🐼
00:00:01 1 - Introduction to Data Science + Python Environment Setup
00:08:57 2 - Importing Datasets in Pandas and Removing Junk
00:24:23 3 - Copying, Selecting, Indexing data from Pandas Dataframes
00:40:22 4 - Pandas dataframe Counting, Summarized view, Data Types
00:54:26 5 - Cleaning and Converting the Pandas Dataframe columns
01:07:13 6 - If Else and Looping Constructs in Pandas Part 1
01:19:16 7 - If Else and Looping Constructs in Pandas Part 2
01:24:29 8 - Exporting data to file, Aggregate Statistics, Describing
01:35:53 9 - Calculate Frequency Tables, Two way Tables...
01:45:53 10 - Conditional Probability and Correlation in Pandas
01:57:20 11 - Dataframe Visualization using Matplotlib and Seaborn
02:11:23 12 - Numerical and Categorical variables with Matplotlib
02:23:53 13 - Python Seaborn Tutorial | Data Visualization Using Seaborn in Python | Python Seaborn Tutorial
02:59:28 14 - Filling Missing Categorical values in Pandas Dataframes
03:26:37 15 - Case Study 1 - Classify Personal Income, Building Logistic Regression Model, Validating Model accuracy, Removing Insignificant Variables, Improving KNN Model Accuracy.
Accuracy measures in Data Mining
An area that manages, manipulates, extracts, and interprets knowledge from tremendous amount of data. Data scientists are the key to realizing the opportunities presented by big data.
#ProgrammingKnowledge #DataScienceWithPython #Pandas #PandasTutorial #DataScienceCourse #DataScienceWithR #PythonPandasTutorial #Seaborn
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★★★ Online Courses to learn ★★★
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DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
🐼 Content 🐼
00:00:01 1 - Introduction to Data Science + Python Environment Setup
00:08:57 2 - Importing Datasets in Pandas and Removing Junk
00:24:23 3 - Copying, Selecting, Indexing data from Pandas Dataframes
00:40:22 4 - Pandas dataframe Counting, Summarized view, Data Types
00:54:26 5 - Cleaning and Converting the Pandas Dataframe columns
01:07:13 6 - If Else and Looping Constructs in Pandas Part 1
01:19:16 7 - If Else and Looping Constructs in Pandas Part 2
01:24:29 8 - Exporting data to file, Aggregate Statistics, Describing
01:35:53 9 - Calculate Frequency Tables, Two way Tables...
01:45:53 10 - Conditional Probability and Correlation in Pandas
01:57:20 11 - Dataframe Visualization using Matplotlib and Seaborn
02:11:23 12 - Numerical and Categorical variables with Matplotlib
02:23:53 13 - Python Seaborn Tutorial | Data Visualization Using Seaborn in Python | Python Seaborn Tutorial
02:59:28 14 - Filling Missing Categorical values in Pandas Dataframes
03:26:37 15 - Case Study 1 - Classify Personal Income, Building Logistic Regression Model, Validating Model accuracy, Removing Insignificant Variables, Improving KNN Model Accuracy.
Accuracy measures in Data Mining
An area that manages, manipulates, extracts, and interprets knowledge from tremendous amount of data. Data scientists are the key to realizing the opportunities presented by big data.
#ProgrammingKnowledge #DataScienceWithPython #Pandas #PandasTutorial #DataScienceCourse #DataScienceWithR #PythonPandasTutorial #Seaborn
★★★Top Online Courses From ProgrammingKnowledge ★★★
★★★ Online Courses to learn ★★★
★★★ Follow ★★★
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This help support the channel and allows us to continue to make videos like this. Thank you for the support!
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