ML 2024 TODO’s


Machine Learning for Economics and Finance - with Python [83%] [10/12]

ml_courseplan_python_2024.svg
Figure 1: Machine Learning courseplan with Python.
  • Intro to Python
    • pytnon-intro.ipynb
  • Practice Python exercises
    • python-exercises.ipynb
    • python-exercises_solution.ipynb
  • 00 Introduction
  • 01 Supervised Learning: Regressions
    • Script codes
    • 01_Auto_data.ipynb
    • 01_Auto_data_1.ipynb
    • 01_Auto_data_2.ipynb
    • 01_Auto_data_2_solution.ipynb
  • 02 Supervised Learning: Classification
    • Script codes
    • 02_Auto_data.ipynb
    • 02_Default_data.ipynb (Tast 1)
    • 02_Default_data_solution.ipynb (Tast 1)
  • 03 Cross Validation
    • Script codes
    • 03_Auto_data_CV.ipynb
    • 03_Auto_data_val_set.ipynb
    • 03_Default_data.ipynb
  • Problem Set 1
    • TODO: 2.5 Model table overview - values issue
  • 04 Subset Selection \(\&\) Shrinkage
    • Script codes
    • 04_ForwardSelection.ipynb
    • 04_RidgeRegression_Task_Solution.ipynb
    • 04_RidgeRegression.ipynb
  • 05 Tree-Based Methods
    • Script codes
    • 05_Trees_Carseats.ipynb
    • 05_Trees_Hitters.ipynb
  • Problem Set 2 \(\leftarrow\) IN PROGRESS
  • 06 Deep Learning
    • Script codes
    • Script slides
  • Problem Set 3 \(\Rightarrow\) Practice Exam

Machine Learning for Economics and Finance - with R [83%] [10/12]

ml_courseplan_r_2024.svg
Figure 2: Machine Learning courseplan with R.
  • Intro to R
    • r-intro.Rmd
  • Practice R exercises
    • r-exercises.Rmd
    • r-exercises_solution.Rmd
  • 00 Introduction
  • 01 Supervised Learning: Regressions
    • Script codes
    • 01_Auto_data.Rmd
    • 01_Auto_data_1_in_lecture.Rmd
    • 01_Auto_data_1.Rmd
    • 01_Auto_data_2_solution.Rmd
    • 01_Auto_data_2.Rmd
  • 02 Supervised Learning: Classification
    • Script codes
    • 02_Auto_data.Rmd
    • 02_Default_data.Rmd (Tast 1)
    • 02_Default_data_solution.Rmd (Tast 1)
  • 03 Cross Validation
    • Script codes
    • 03_Auto_data_CV.Rmd
    • 03_Auto_data_val_set.Rmd
    • 03_Default_data.Rmd
  • Problem Set 1
    • ProblemSet1.Rmd
    • ProblemSet1_solution.Rmd
  • 04 Subset Selection \(\&\) Shrinkage
    • Script codes
    • 04_ForwardSelection.Rmd
    • 04_RidgeRegression_Task_Solution.Rmd
    • 04_RidgeRegression.Rmd
  • 05 Tree-Based Methods
    • Script codes
    • 05_Trees_Carseats.Rmd
    • 05_Trees_Hitters.Rmd
  • Problem Set 2
    • ProblemSet2.Rmd
    • ProblemSet2_solution.Rmd
  • 06 Deep Learning
    • Script codes
    • ???
  • Problem Set 3 \(\Rightarrow\) Practice Exam
    • ???