Unverified Commit 6b02aaa7 authored by Simon Bowly's avatar Simon Bowly
Browse files

Get rid of some unnecessary subdirectories.

parent 9318708f
# Bachelor of Applied Data Science: Data Challenges Unit Resources # Bachelor of Applied Data Science: Data Challenges Unit Resources
## Issues
* Pandas-DataFrames/DosesWrangling.ipynb broken - seem to have the wrong data file?
## By Topic ## By Topic
* [Project-Tools](Project-Tools) * [Project-Tools](Project-Tools)
...@@ -12,15 +16,10 @@ ...@@ -12,15 +16,10 @@
* [Visualisation](Visualisation) * [Visualisation](Visualisation)
* [Machine-Learning](Machine-Learning) * [Machine-Learning](Machine-Learning)
* [Unsupervised-Methods](Machine-Learning/Unsupervised-Methods) * [Unsupervised-Methods](Machine-Learning/Unsupervised-Methods)
* [Principal-Component-Analysis](Machine-Learning/Unsupervised-Methods/Principal-Component-Analysis)
* [K-Means-Clustering](Machine-Learning/Unsupervised-Methods/K-Means-Clustering)
* [Supervised-Methods](Machine-Learning/Supervised-Methods) * [Supervised-Methods](Machine-Learning/Supervised-Methods)
* [Regression](Machine-Learning/Supervised-Methods/Regression) * [Regression](Machine-Learning/Supervised-Methods/Regression)
* [Decision-Trees](Machine-Learning/Supervised-Methods/Decision-Trees) * [Decision-Trees](Machine-Learning/Supervised-Methods/Decision-Trees)
* [Support-Vector-Machines](Machine-Learning/Supervised-Methods/Support-Vector-Machines)
* [K-Nearest-Neighbours](Machine-Learning/Supervised-Methods/K-Nearest-Neighbours)
* [Ensemble-Methods](Machine-Learning/Ensemble-Methods) * [Ensemble-Methods](Machine-Learning/Ensemble-Methods)
* [Boosting](Machine-Learning/Ensemble-Methods/Boosting)
* [Topic-Hints](Topic-Hints) * [Topic-Hints](Topic-Hints)
* [Optimization](Topic-Hints/Optimization) * [Optimization](Topic-Hints/Optimization)
* [Brain-Scans](Topic-Hints/Brain-Scans) * [Brain-Scans](Topic-Hints/Brain-Scans)
...@@ -42,7 +41,7 @@ ...@@ -42,7 +41,7 @@
* Week 8 [Merging and Joining Data](Pandas-DataFrames/Merging/MergeJoinIntro.ipynb) * Week 8 [Merging and Joining Data](Pandas-DataFrames/Merging/MergeJoinIntro.ipynb)
* Week 9 [Intro to Linear Regression](Machine-Learning/Supervised-Methods/Regression/03-IntroLinearRegression.ipynb) * Week 9 [Intro to Linear Regression](Machine-Learning/Supervised-Methods/Regression/03-IntroLinearRegression.ipynb)
* Week 10 [Intro to Linear Regression (Dupe?)](Machine-Learning/Supervised-Methods/Regression/03-IntroLinearRegression.ipynb) * Week 10 [Intro to Linear Regression (Dupe?)](Machine-Learning/Supervised-Methods/Regression/03-IntroLinearRegression.ipynb)
* Week 11 [K Nearest Neighbours (kNN) Classification](Machine-Learning/Supervised-Methods/K-Nearest-Neighbours/12-kNN.ipynb) * Week 11 [K Nearest Neighbours (kNN) Classification](Machine-Learning/Supervised-Methods/K-Nearest-Neighbours.ipynb)
### ADS1002 ### ADS1002
...@@ -50,13 +49,13 @@ ...@@ -50,13 +49,13 @@
* Week 2 [Regression Workflow](Machine-Learning/Supervised-Methods/Regression/01-ML_Workflow_Diabetes.ipynb) * Week 2 [Regression Workflow](Machine-Learning/Supervised-Methods/Regression/01-ML_Workflow_Diabetes.ipynb)
* Week 3 [Logistic Regression](Machine-Learning/Supervised-Methods/Regression/02-LogisticRegression_Iris.ipynb) * Week 3 [Logistic Regression](Machine-Learning/Supervised-Methods/Regression/02-LogisticRegression_Iris.ipynb)
* Week 4 [Support Vector Machines (SVM)](Machine-Learning/Supervised-Methods/Support-Vector-Machines/03-SVM.ipynb) * Week 4 [Support Vector Machines (SVM)](Machine-Learning/Supervised-Methods/Support-Vector-Machines.ipynb)
* Week 5 [Decision Trees](Machine-Learning/Supervised-Methods/Decision-Trees/04-DecisionTrees.ipynb) * Week 5 [Decision Trees](Machine-Learning/Supervised-Methods/Decision-Trees/04-DecisionTrees.ipynb)
* Week 6 [Random Forests](Machine-Learning/Supervised-Methods/Decision-Trees/05-RandomForest.ipynb) * Week 6 [Random Forests](Machine-Learning/Supervised-Methods/Decision-Trees/05-RandomForest.ipynb)
* Week 7 [Principal Component Analysis (PCA)](Machine-Learning/Unsupervised-Methods/Principal-Component-Analysis/08-PCA.ipynb) * Week 7 [Principal Component Analysis (PCA)](Machine-Learning/Unsupervised-Methods/Principal-Component-Analysis.ipynb)
* Week 8 [K-Means Clustering](Machine-Learning/Unsupervised-Methods/K-Means-Clustering/KMeans.ipynb) * Week 8 [K-Means Clustering](Machine-Learning/Unsupervised-Methods/K-Means-Clustering.ipynb)
* Week 9 [Git](Project-Tools/Git/GIT-CLI-CORE.pdf) * Week 9 [Git](Project-Tools/Git/GIT-CLI-CORE.pdf)
* Week 10 [Advanced Plotting](Visualisation/11-AdvancedPlotting.ipynb) * Week 10 [Advanced Plotting](Visualisation/11-AdvancedPlotting.ipynb)
* Week 11 [Boosting](Machine-Learning/Ensemble-Methods/Boosting/Boosting.ipynb) * Week 11 [Boosting](Machine-Learning/Ensemble-Methods/Boosting.ipynb)
### ADS2002 ### ADS2002
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