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 Link to notebook and dataset:
Numpy tutorials:
Matplotlib tutorials:
Install Anaconda Python, Jupyter Notebook And Spyder on Windows 10: 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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