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Math-Statistics-DataScience

Math and Statistics for Data Science

Topics

  • Descriptive Statistics: useful for data exploration
    • Central Tendency
    • Variability
    • Correlation
  • Distribution Types (Uniform, Binomial, Poisson, Normal): useful for data exploration
  • Inferential Statistics: useful for data exploration and hypothesis testing
    • Linear regression
    • Visualization (Bar charts, Histograms, box plots, scatter plots)
  • Linear Algebra: useful for PCA & Regression
  • Calculus: useful for gradient decent

Python Libraries

  • Numpy
  • Scipy
  • Pandas

References

Main References

Probabilistic Classifiers

Naive Bayes Examples:

Regression Machine learning Models

Logistic Regression

Calculus

Python Env

Anaconda https://repo.anaconda.com/archive/Anaconda3-2022.10-Windows-x86_64.exe

VS code

https://code.visualstudio.com/Download

Video Lectures

https://youtube.com/playlist?list=PL39RMbpB79NPKxyyAE6g2HFOM1sTXLrqU

Practice Numpy at Hacker Rank

Practice Numpy at Hacker Rank

100 Numpy exercises

https://github.com/rougier/numpy-100

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Math and Statistics for Data Science

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