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All the work done by me as part of IBM's CongnitiveClass "Applied Data Science with Python 🐍" Learning Path.

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All the work done by me as part of IBM's CongnitiveClass "Applied Data Science with Python" Learning Path.

Certificates

Python packages used

1 - Scientific Computing Libraries:

  • Pandas (data structures & tools)
  • Numpy (Arrays & matrices)
  • Scipy (integrals, solving differential equations, optimization)

2 - Visualization Libraries:

  • Matplotlib (plots & graphs)
  • Seaborn (heat plots, time series, violin plots)

3 - Algorithmic Libraries:

  • Scikit-lean (Machine learning: regression, classifcation...)
  • Statsmodels (data exploration, statistical models & statistical tests)

Course 1 - Python for Data Science

Jupyter notebooks labs Here

Course 2 - Data Analysis with Python

Jupyter notebooks labs Here

Course 3 - Data Visualization with Python

Jupyter notebooks labs Here

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All the work done by me as part of IBM's CongnitiveClass "Applied Data Science with Python 🐍" Learning Path.

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