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Own code and reports for the final projects of the courses for the IBM Machine Learning Specialization

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This repository holds the code and the reports for the final projects of the six courses of the IBM ML specialization

Code and reports written by Giuseppe Insana between 2021.12.04 and 2022.03.18

The six courses, with coursera links, were:

  1. Exploratory Data Analysis for Machine Learning
  2. Supervised Machine Learning: Regression
  3. Supervised Machine Learning: Classification
  4. Unsupervised Machine Learning
  5. Deep Learning and Reinforcement Learning
  6. Specialized Models: Time Series and Survival Analysis

See the accompanying project reports for explanations and discussions:

01 EDA

02 Regression

03 Classification

04 Unsupervised

05 Deep learning

06 Time series

And the Jupyter notebook with the code written and used for those projects. Note: if the version on github is not rendering properly, try this one, via nbviewer.jupyter.org.

Data origin acknowledgement

Dataset compiled by Huber, Florian (2021); Zenodo. https://doi.org/10.5281/zenodo.4770937

ORIGINAL DATA TAKEN FROM:

EUROPEAN CLIMATE ASSESSMENT & DATASET (ECA&D), file created on 22-04-2021
THESE DATA CAN BE USED FREELY PROVIDED THAT THE FOLLOWING SOURCE IS ACKNOWLEDGED:

Klein Tank, A.M.G. and Coauthors, 2002. Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int. J. of Climatol., 22, 1441-1453. Data and metadata available at http://www.ecad.eu

Copyright

The code provided in this repository is licensed under the GNU General Public License v3.0.

(c) Copyright Giuseppe Insana, 2021-

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Own code and reports for the final projects of the courses for the IBM Machine Learning Specialization

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