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  1. MLU-04-BostonHousing-MultipleRegression MLU-04-BostonHousing-MultipleRegression Public

    In Linear Regression we use only one feature for prediction, multiple features might give us a better model for prediction. Let's look at it.

    Jupyter Notebook

  2. MLU-05-BostonHousing-NonLinearRegression MLU-05-BostonHousing-NonLinearRegression Public

    Take a look at Non-Linear Regression algorithm which consist of Decision Tree, Random Forest and Adaboost

    Jupyter Notebook

  3. MLU-06-BostonHousing-FeatureImportant MLU-06-BostonHousing-FeatureImportant Public

    Checking Feature Important algorithm in Non-Linear Regression

    Jupyter Notebook

  4. UML-02-SocialAds-KNNClassifier UML-02-SocialAds-KNNClassifier Public

    Categorical dataset to determine whether a user purchased a particular product.

    Jupyter Notebook

  5. MLU-08-Iris-SVM MLU-08-Iris-SVM Public

    Create a model for classifying the type of Iris Flower (type of orchid) based on the variables of the dataset using SVM algorithm.

    Jupyter Notebook

  6. MLU-11-Titanic-EnsembleML MLU-11-Titanic-EnsembleML Public

    Combination of multiple machine learning algorithms but based on Bagging, Random Forest, AdaBoost, and XGBoost algorithm.

    Jupyter Notebook