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.

πΌ Content πΌ 00:00:01β 1 - Introduction to Data Science + Python Environment Setup 00:08:57β 2 - Importing Datasets in Pandas and Removing Junk 00:24:23β 3 - Copying, Selecting, Indexing data from Pandas Dataframes 00:40:22β 4 - Pandas dataframe Counting, Summarized view, Data Types 00:54:26β 5 - Cleaning and Converting the Pandas Dataframe columns 01:07:13β 6 - If Else and Looping Constructs in Pandas Part 1 01:19:16β 7 - If Else and Looping Constructs in Pandas Part 2 01:24:29β 8 - Exporting data to file, Aggregate Statistics, Describing 01:35:53β 9 - Calculate Frequency Tables, Two way Tables... 01:45:53β 10 - Conditional Probability and Correlation in Pandas 01:57:20β 11 - Dataframe Visualization using Matplotlib and Seaborn 02:11:23β 12 - Numerical and Categorical variables with Matplotlib 02:23:53β 13 - Python Seaborn Tutorial | Data Visualization Using Seaborn in Python | Python Seaborn Tutorial 02:59:28β 14 - Filling Missing Categorical values in Pandas Dataframes 03:26:37β 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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