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Title: GitHub - albahnsen/AdvancedMethodsDataAnalysisClass · GitHub

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71 Commitshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/commits/master/
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Exerciseshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/tree/master/Exercises
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README.mdhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/README.md
README.mdhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/README.md
READMEhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass
MIT licensehttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass
https://github.com/albahnsen/AdvancedMethodsDataAnalysisClass#advanced-methods-in-data-analysis
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https://github.com/albahnsen/AdvancedMethodsDataAnalysisClass#requiriments
Pythonhttp://www.python.org
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IPythonhttp://ipython.org
Pandashttp://pandas.pydata.org/
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https://github.com/albahnsen/AdvancedMethodsDataAnalysisClass#evaluation
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1 - Intro to TSAhttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/01-IntroTSA.ipynb
2 - ARIMA processeshttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/02-ARIMA.ipynb
E1 - TSA Applicationshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E1%20-%20Examples%20TSA.md
E2 - Python TSA Analysishttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E02-TSA.ipynb
E3 - ARIMAhttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E03-ARIMA.ipynb
3 - Prophethttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/03-TSA-prophet.ipynb
E4 - Panel Datahttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E04%20-%20Panel%20Data.md
E5 - Prophethttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E05-prophet.ipynb
P1 - TSAhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/P1-TSL.md
https://github.com/albahnsen/AdvancedMethodsDataAnalysisClass#machine-learning-systems
4 - Decision Treeshttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/04-DecisionTrees.ipynb
5 - Bagginghttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/05-Ensembles_Bagging.ipynb
E6 - DThttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E06%20-%20Decision%20Trees%20Overview.md
E7 - DT & Ensembleshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E7-DecisionTrees_Bagging.ipynb
6 - Random Forestshttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/06-Ensembles_RandomForest.ipynb
7 - XGBoosthttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/07-Ensembles_Boosting.ipynb
E8 - Ensembleshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E08%20-%20Ensembles%20Trees%20Overview.md
E9 - Random Forest & Gradient Boostinghttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E8-RandomForests_Boosting.ipynb
8 Introduction to Rest APIshttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/08-IntroductionToAPIs.ipynb
9 - Model Deploymenthttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/09-Model_Deployment.ipynb
10 - APIs in AWShttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/10-CreatingAPIinAWS.ipynb
E10 - API Reviewhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/E10%20-%20microservices.md
P2 - Trees and APIshttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/Exercises/P2-UsedVehiclePricePrediction.ipynb
https://github.com/albahnsen/AdvancedMethodsDataAnalysisClass#natural-language-processing
11 - Introduction to NLPhttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/11-IntroNLP.pdf
12 - Introduction to NLP II https://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/12-NaturalLanguageProcessing.ipynb
E12 - NLP Reviewhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master
E13 - Sentiment Analysishttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master
13 - Sentiment Analysishttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/13-TextSimilarity.ipynb
E14 - Homeworks Analysishttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master
14 - Introduction to NN - MLPhttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/14-IntroductionDeepLearningMLP.ipynb
15 - Kerashttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/15-DeepLearning_keras.ipynb
16 - LSTMhttps://nbviewer.jupyter.org/github/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master/notebooks/16-RecurrentNeuralNetworks_LSTM.ipynb
P3 - NLP Movies Analysis APIhttps://github.com/albahnsen/AdvancedMethodsDataAnalysisClass/blob/master
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