General Path and Tracks
++++++++++++++++++++++++++++++++++++++





 General 16 weeks program...
=======================

our data

.. image:: ./4geeks.png
   :align: center
   :height: 300px
   :width:  350px
   :scale: 100 %




Programming
~~~~~~~~~~~~~~~~~~~

Week 1
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 1
     - Exploratory Data Analysis (EDA)
     - `Slides EDA <https://github.com/it-ces/PUBLIC-AI/blob/main/Analytics/EDA_.pdf>`_
   * - Day 2
     - Pandas
     - `Slides Pandas <https://github.com/it-ces/PUBLIC-AI/blob/main/PANDAS(talleres-slides)/Pandas_.pdf>`_
   * - Day 3
     - Pandas work
     - `Works <https://github.com/it-ces/Talleres/blob/main/Mortality-rate.pdf>`_

Week 2
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 1
     - Calculus 
     - :doc:`Lecures in maths <../Courses/mathappendix>`
   * - Day 2
     - Applications of calculus
     - `Slides microeconomics <https://github.com/it-ces/PUBLIC-AI/blob/main/MICRO/1.ComputationalEconomics.pdf>`_
   * - Day 3
     - Gradient descent
     - :doc:`Lecures in maths <../Courses/opto>`

Week 3
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 1
     - KNN 
     - SLIDES
   * - Day 2
     - Support Vector Machine
     - `Slides SVM <https://github.com/it-ces/PUBLIC-AI/blob/main/Support%20Vector%20Machine/SVM.pdf>`_
   * - Day 3
     - Support Vector Machine
     - `Slides SVM <https://github.com/it-ces/PUBLIC-AI/blob/main/Support%20Vector%20Machine/SVM.pdf>`_


Week 4
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation


Week 5
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation


Week 6
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation


Week 7
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation



Week 8
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation


Week 9
------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day
     - Description
     - Material
   * - Day 7
     - Analytics workflow  
     - See material here
   * - Day 8
     - Final work
     - Write presentation


Machine Learning 
~~~~~~~~~~~~~~~~

Week 10
---------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1
     - Linear regression sklearn 
     - `colab lr <https://github.com/it-ces/PUBLIC-AI/blob/main/ML-notebooks/Linear_regression_sklearn_I_(ai_page).ipynb>`_ 
   * - Day 2
     - Regularized linear regression
     - `colab Regularized lr <https://github.com/it-ces/PUBLIC-AI/blob/main/ML-notebooks/Linear_regression_sklearn_II_(ai_page).ipynb>`_ 

   * - Day 3
     - Cross validation
     - 
      - `Slides cross val <https://github.com/it-ces/round-2/blob/main/flujo.pdf>`_ 
      - `Slides cross val <https://github.com/it-ces/round-2/blob/main/flujo.pdf>`_
Week 11
------------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1
     - logistic regression 
     - `colab logistic r. <https://github.com/it-ces/PUBLIC-AI/blob/main/ML-notebooks/Logistic_Regressions_statsmodels_sklearn_I_(ai_page).ipynb>`_
   * - Day 2
     - Workflow and Metrics
     - Write presentation
   * - Day 3
     - KNN 
     - `Slides KNN <https://github.com/it-ces/PUBLIC-AI/blob/main/ML-models/KKN.pdf>`_ 

Week 12
------------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1
     - Decision tree
     - Material
   * - Day 2
     - Decision tree benchmark random forest and boosting
     - make
   * - Day 3
     - Kaggle competition 
     - See competition

Week 13
------------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1
     - Clustering and PCA
     - See material here
   * - Day 2
     - Naive bayes
     - Write presentation
   * - Day 3
     - Naive bayes and Natural Language Processing
     - notebook integration!

Week 14
------------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1 
     - Neural Network
     - See material here
   * - Day 2 
     - Neural Network
     - Write presentation
   * - Day 3
     - Time series
     - Material
     
Week 15
------------

.. list-table::
   :header-rows: 1
   :widths: 10 30 30

   * - Day 
     - Description
     - Material
   * - Day 1
     - Apriori 
     - See material here
   * - Day 2
     - Survival Analsysis
     - Write presentation
   * - Day 3 
     - Final project
     - material