Python Pandas Data Science Tutorial

Python Pandas Data Science Tutorial

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.

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

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python pandas

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