jimit105 / Data-Science-in-Python-Pandas-Scikit-learn-Numpy-Matplotlib

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Data Science in Python: Pandas, Scikit-learn, Numpy, Matplotlib (Udemy)

Jimit Dholakia


Course Link: https://www.udemy.com/data-science-with-python-and-pandas

Contents:

  • Data Analysis with Numpy
    • Introduction to Numpy
    • Numpy array
    • Numpy array Operations
    • Indexing, Slicing
  • Data Analysis with Pandas
    • Introduction to Pandas
    • Introduction to Series
    • Introduction to DataFrame
    • DataFrame- Index, Multiindex
    • Handling Missing Data- dropna, fillna
    • Grouping Data
    • Read, Write .csv, .html, excel file
    • Visualization of data with pandas
  • Data Visualization with Matplotlib
    • Introduction
    • Matplotlib- Basic Plotting, Plotting Terminology
    • Matplotlib- Subplots
    • Matplotlib- Special plot
  • Importing Data in Python
    • Introduction
    • Reading plain text file
    • Reading .csv file
    • Reading Excel and .m Matlab file
    • Read SQLite Database
    • Fetch Data from Remote file
  • Data Preprocessing
    • Introduction
    • Reading Data
    • Handling Missing Data
    • Categorical Data
    • Splitting Data in Training and Testing Set
    • Normalize Data
  • Web Scraping
    • What is Web Scraping
    • Web Scraping Process
    • Search Element by TagName and TagByClass
    • Practical Activity
  • Data Transformation and Scaling Data
    • Introduction
    • Rescale Data - Standardize Data
    • Normalize Data - Binarize Data

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License:MIT License


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