From e2a9585f028254b7d9599e7b6dcc096c9684e3ed Mon Sep 17 00:00:00 2001 From: Marcel Weschke Date: Fri, 22 Aug 2025 20:06:34 +0200 Subject: [PATCH] status update in courseplan the graphics --- .../ml_courseplan_python_2024.svg | 122 +++++++++--------- 1 file changed, 61 insertions(+), 61 deletions(-) mode change 100644 => 100755 Machine Learning for Economics and Finance/ml_courseplan_python_2024.svg diff --git a/Machine Learning for Economics and Finance/ml_courseplan_python_2024.svg b/Machine Learning for Economics and Finance/ml_courseplan_python_2024.svg old mode 100644 new mode 100755 index 3c625cd..688a0af --- a/Machine Learning for Economics and Finance/ml_courseplan_python_2024.svg +++ b/Machine Learning for Economics and Finance/ml_courseplan_python_2024.svg @@ -1,25 +1,25 @@ - + viewBox="0.00 0.00 1918.00 388.00" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> G a -Machine Learning for - Economics and Finance +Machine Learning for + Economics and Finance py -Python +Python @@ -31,8 +31,8 @@ intro -00 Introduction to -machine learning +00 Introduction to +machine learning @@ -44,8 +44,8 @@ pyintro -Intro to -Python +Intro to +Python @@ -57,8 +57,8 @@ pypractice -Practice -Python exercises +Practice +Python exercises @@ -70,8 +70,8 @@ pyscript_01 -01 Supervised Learning -Regressions +01 Supervised Learning +Regressions @@ -83,8 +83,8 @@ pyscript_02 -02 Supervised Learning -Classification +02 Supervised Learning +Classification @@ -96,7 +96,7 @@ pyscript_03 -03 Cross Validation +03 Cross Validation @@ -108,7 +108,7 @@ pyprobset_01 -Problem Set 1 +Problem Set 1 @@ -120,8 +120,8 @@ pyscript_04 -04 Subset Selection -& Shrinkage +04 Subset Selection +& Shrinkage @@ -133,7 +133,7 @@ pyscript_05 -05 Tree-Based Methods +05 Tree-Based Methods @@ -144,8 +144,8 @@ pyprobset_02 - -Problem Set 2 + +Problem Set 2 @@ -157,7 +157,7 @@ pyscript_06 -06 Deep Learning +06 Deep Learning @@ -168,9 +168,9 @@ pyprobset_03 - -Problem Set 3 -(Practice Exam) + +Problem Set 3 +(Practice Exam) @@ -183,10 +183,10 @@ pyintrofiles -python-intro.ipynb +python-intro.ipynb -python-intro.pdf +python-intro.pdf @@ -199,16 +199,16 @@ py_practice_files -py-exercises.ipynb +py-exercises.ipynb -py-exercises.pdf +py-exercises.pdf -py-exercises_solution.ipynb +py-exercises_solution.ipynb -py-exercises_solution.pdf +py-exercises_solution.pdf @@ -227,16 +227,16 @@ pyscript_01_files -01_Auto_data.ipynb +01_Auto_data.ipynb -01_Auto_data_1.ipynb +01_Auto_data_1.ipynb -01_Auto_data_2.ipynb +01_Auto_data_2.ipynb -01_Auto_data_2_solution.ipynb +01_Auto_data_2_solution.ipynb @@ -255,12 +255,12 @@ pyscript_02_files -02_Default_data.ipynb -(Task 1) +02_Default_data.ipynb +(Task 1) -02_Default_data_solution.ipynb -(Task 1) +02_Default_data_solution.ipynb +(Task 1) @@ -279,13 +279,13 @@ pyscript_03_files -03_Auto_data_CV.ipynb +03_Auto_data_CV.ipynb -03_Auto_data_val_set.ipynb +03_Auto_data_val_set.ipynb -03_Default_data.ipynb +03_Default_data.ipynb @@ -310,16 +310,16 @@ pyprobset_01_files -ProblemSet1.ipynb +ProblemSet1.ipynb -ProblemSet1.pdf +ProblemSet1.pdf -ProblemSet1_solution.ipynb +ProblemSet1_solution.ipynb -ProblemSet1_solution.pdf +ProblemSet1_solution.pdf @@ -338,16 +338,16 @@ pyscript_04_files -04_RidgeRegression_Task.ipynb +04_RidgeRegression_Task.ipynb -04_RidgeRegression_Task.pdf +04_RidgeRegression_Task.pdf -04_RidgeRegression_Task_solved.ipynb +04_RidgeRegression_Task_solved.ipynb -04_RidgeRegression_Task_solved.pdf +04_RidgeRegression_Task_solved.pdf @@ -360,16 +360,16 @@ pyscript_05_files -05_Trees_Hitters_Task.ipynb +05_Trees_Hitters_Task.ipynb -05_Trees_Hitters_Task.pdf +05_Trees_Hitters_Task.pdf -05_Trees_Hitters_Task_solved.ipynb +05_Trees_Hitters_Task_solved.ipynb -05_Trees_Hitters_Task_solved.pdf +05_Trees_Hitters_Task_solved.pdf @@ -382,16 +382,16 @@ pyprobset_02_files -ProblemSet2.ipynb +ProblemSet2.ipynb -ProblemSet2.pdf - +ProblemSet2.pdf + -ProblemSet2_solution.ipynb - +ProblemSet2_solution.ipynb + -ProblemSet2_solution.pdf +ProblemSet2_solution.pdf