├── LICENSE ├── README.md ├── Week-01-Intro └── Slides - Intro.pdf ├── Week-02-EDA ├── Slides - Exploratory Data Analysis.pdf ├── iris_EDA.ipynb ├── taylor_swift_EDA.ipynb ├── taylor_swift_spotify.csv ├── titanic_EDA.ipynb ├── titanic_test.csv └── titanic_train.csv ├── Week-03-Linear-Models ├── Case Studies 1.pdf ├── LWR_gif.m ├── LWR_tau2.gif ├── LinearReg_MOFisotherm.ipynb ├── LogReg_flowregime.ipynb ├── Slides - Linear and Logistic Regression.pdf ├── flow_regime.csv └── mofDatabase.csv ├── Week-04-Kernel-Methods ├── Case Studies 2.pdf ├── SVM_kw_illustrate.gif ├── Slides - Kernel Methods.pdf ├── evap_data.csv ├── multiclass_svm_iris.ipynb ├── sinedata_SVR_KRR.ipynb ├── spiral_svm.ipynb ├── spiral_svm_illustrate.m └── svm_evap_fault.ipynb ├── Week-05-Validation ├── Slides - Cross-Validation.pdf ├── hypertune_svm_8x8hwd.ipynb ├── taylor_swift_popularity.ipynb └── twomoons_svm_valid.ipynb ├── Week-06-GP-BayesOpt ├── AirPassengers.csv ├── BayesOpt_simple.ipynb ├── Slides - Gaussian Processes and BayesOpt.pdf ├── airline_GPR.ipynb ├── airline_GPR_gif.m ├── airline_gpr.gif ├── bayesOpt1D.gif ├── bayesOpt2D.gif ├── bayesianCurveFit.m ├── bayesianOpti1D.m ├── bayesianOpti2D.m └── bayesiancurvefit.gif ├── Week-07-Neural-Nets ├── ANN_chlora.ipynb ├── AirPassengers.csv ├── Case Studies 3.pdf ├── MLP_iris.ipynb ├── MLP_sinedata.ipynb ├── Slides - Neural Networks.pdf ├── airline_LSTM.ipynb ├── autoencoder_iris.ipynb └── chlor.csv ├── Week-08-Ensembles ├── Case Studies 4.pdf ├── Slides - Ensemble Learning.pdf ├── diamonds.csv ├── diamonds_ensemble.ipynb ├── kNN_iris2D.m ├── tree_split.gif ├── tree_split2.gif ├── tree_split_illustrate.m ├── weak_learn_iris.ipynb ├── wine_data.csv └── wine_ensemble.ipynb ├── Week-09-LinearDR ├── LDA_illustrate.gif ├── PCA_illustrate.gif ├── Slides - Linear DimReduce and LDA.pdf ├── curse_of_dim.m ├── curse_of_dim.png ├── lda_illustrate.m ├── pca_illustrate.m ├── pca_iris_penguins.ipynb ├── pca_svm_lda_iris.ipynb └── penguins.csv ├── Week-10-NonlinearDR ├── KL_illustrate.gif ├── Slides - Nonlinear DimReduce.pdf ├── kldiv_illustrate.m ├── manifold_scurve_swissroll.ipynb └── twomoons_circles_kpca.ipynb ├── Week-11-Clustering ├── Case Studies 6.pdf ├── Slides - Clustering, Density Estimation, Anomaly Detection.pdf ├── anomaly_detect_blobs.ipynb ├── average_link.gif ├── clink.gif ├── cluster_colors.ipynb ├── kmeans1.m ├── kmeans1_rng2.gif ├── kmeans_agglo_blobs.ipynb ├── slink.gif ├── sound_of_music.jpg ├── wastewater_pca_kde.ipynb └── water_treatment.csv ├── Week-12-AutoML-XAI ├── Slides - AutoML and Explainable AI.pdf ├── lazy_breastcancer.ipynb ├── lazy_sinedata.ipynb ├── taylor_swift_popularity.ipynb ├── taylor_swift_spotify.csv └── titanic_feat_importance.ipynb └── Week-X-Time-Series ├── Case Studies 5.pdf ├── Slides - Time Series Analysis.pdf ├── co2_daily_mlo.csv └── co2_forecast.ipynb /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kspilario/MLxChE/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kspilario/MLxChE/HEAD/README.md -------------------------------------------------------------------------------- /Week-01-Intro/Slides - Intro.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/kspilario/MLxChE/HEAD/Week-01-Intro/Slides - Intro.pdf -------------------------------------------------------------------------------- /Week-02-EDA/Slides - 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