Gitesh1998 / Stock-prediction

0 stars 0 forks source link

Data preprocessing in python and visualization #3

Open Gitesh1998 opened 3 weeks ago

Gitesh1998 commented 3 weeks ago

Data Preprocessing Tools

  1. Pandas:

    • Description: A powerful data manipulation and analysis library that provides data structures like DataFrames.
    • Documentation: Pandas Documentation
  2. NumPy:

    • Description: A fundamental package for scientific computing in Python, providing support for arrays and matrices.
    • Documentation: NumPy Documentation
  3. scikit-learn:

    • Description: A machine learning library offering tools for data preprocessing, such as scaling, normalization, and encoding.
    • Documentation: scikit-learn Documentation
  4. Statsmodels:

    • Description: Provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and data exploration.
    • Documentation: Statsmodels Documentation

Data Visualization Tools

  1. Matplotlib:

    • Description: A foundational plotting library for creating static, animated, and interactive visualizations in Python.
    • Documentation: Matplotlib Documentation
  2. Seaborn:

    • Description: A statistical data visualization library built on top of Matplotlib, providing a high-level interface for drawing attractive statistical graphics.
    • Documentation: Seaborn Documentation
  3. Plotly:

    • Description: An interactive graphing library that enables the creation of interactive, publication-quality graphs online.
    • Documentation: Plotly Documentation
  4. ggplot (ggpy):

    • Description: A Python implementation of the grammar of graphics, inspired by ggplot2 in R.
    • Documentation: ggplot Documentation
  5. Bokeh:

    • Description: An interactive visualization library that targets modern web browsers for presentation.
    • Documentation: Bokeh Documentation
  6. Altair:

    • Description: A declarative statistical visualization library based on Vega and Vega-Lite that allows for concise and friendly syntax.
    • Documentation: Altair Documentation

These tools provide robust capabilities for both preprocessing and visualizing your data, making them essential for any data analysis or machine learning workflow.