Data Analysis and Visualization

This repository aims to show basic concepts of data analysis, and not only the technical content, but also, a critical view regarding the data.

• Python libraries

  • Numpy

    NumPy is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.

  • SciPy

    SciPy is a scientific computation library that uses NumPy underneath. SciPy stands for Scientific Python. It provides more utility functions for optimization, stats and signal processing.

  • Pandas

    pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

  • StatsModels

    statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration.

  • Matplotlib

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

  • Seaborn

    Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

  • Datetime

    The datetime module includes functions and classes for doing date and time parsing, formatting, and arithmetic.

  • Threading

    This module constructs higher-level threading interfaces on top of the lower level _thread module.

  • Speedtest

    Command line interface for testing internet bandwidth using speedtest.net

  • Faker

    Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you.

  • Missingno

    Missingno is a Python library that provides the ability to understand the distribution of missing values through informative visualizations.

  • FuzzyWuzzy

    It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

• Introduction to Machine Learning

  • Scikit-learn
    • Classification
    • Regression
    • Clustering
    • Dimensionality reduction
    • Model selection
    • Preprocessing
  • XGboost

The content related to Data Science (Machine Learning and Deep Learning) is available in another repository.

• Data Scraping

  • Scrapy
  • Selenium WebDriver

• SQL