@@ -49,23 +49,22 @@ Download or clone this repo and open the `machine-learning` folder in Visual Stu
49491 | Intro to Machine Learning | [ 01 Notebook] ( https://ntbk.io/ml-01-intro )
50502 | Data Prep and Feature Engineering | [ 02 Notebook] ( https://ntbk.io/ml-02-data )
51513 | Training and AutoML | [ 03 Notebook] ( https://ntbk.io/ml-03-training )
52- 4 | Model Evaluation | [ 04 Notebook] ( https://ntbk.io/ml-04-evaluation )
52+ 4 | Model Evaluation | [ 04 Notebook] ( https://ntbk.io/ml-04-evaluation )
5353
54- ### Reference Notebooks
55- | # | Topic | Notebook Link |
56- | ---| --------------------------------------------| -----------------------|
57- REF | Data Processing with DataFrame |[ Data Frame] ( https://ntbk.io/ml-ref-data-frame )
58- REF | Graphs and Visualizations |[ Visualizations] ( https://ntbk.io/ml-ref-visualizations )
59- REF | Kaggle Competitions (Titanic Dataset) |[ Kaggle] ( https://ntbk.io/ml-ref-kaggle-titanic )
60-
61- ### End to End (E2E) Notebooks - for examples of the entire ML process.
54+ ### End to End (E2E) Notebooks - examples of the entire ML process.
6255| # | Topic | Notebook Link |
6356| ---| --------------------------------------------| -----------------------|
6457E2E | Classification using AutoML (Iris Dataset) | [ Iris E2E AutoML] ( https://ntbk.io/ml-e2e-iris )
65- E2E | Forecasting using Regression (Luna Dataset)| [ Lune E2E Regression] ( https://ntbk.io/ml-e2e-luna-regression )
66- E2E | Forecasting using SSA (Luna Dataset) | [ Lune E2E SSA] ( https://ntbk.io/ml-e2e-luna-ssa )
58+ E2E | Forecasting using Regression (Luna Dataset)| [ Luna E2E Regression] ( https://ntbk.io/ml-e2e-luna-regression )
59+ E2E | Forecasting using SSA (Luna Dataset) | [ Luna E2E SSA] ( https://ntbk.io/ml-e2e-luna-ssa )
6760E2E | Regression using AutoML (Taxi Dataset) | [ Taxi E2E AutoML] ( https://ntbk.io/ml-e2e-taxi )
6861
62+ ### Reference Notebooks
63+ | # | Topic | Notebook Link |
64+ | ---| --------------------------------------------| -----------------------|
65+ REF | Data Processing with DataFrame |[ Data Frame] ( https://ntbk.io/ml-ref-data-frame )
66+ REF | Graphs and Visualizations |[ Visualizations] ( https://ntbk.io/ml-ref-visualizations )
67+ REF | Kaggle Competitions (Titanic Dataset) |[ Kaggle] ( https://ntbk.io/ml-ref-kaggle-titanic )
6968
7069## .NET Foundation
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