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Collection of notebooks I made to illustrate some machine learning concepts and models in this repo, most of the models in this repo are built once from scratch and once using built-in models from libraries like sklearn.

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RadwaSK/MLGuideNotebooks

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  • Regression Models Folder

    • Linear Regression
    • Polynomial Regression
    • Multivariable Linear Regression
  • More Advanced Regression Models Folder

    • Multivariate Linear Regression on automobile dataset with splitting data to train/test
    • Multivariate Linear Regression with L1/L2 Regularization
  • More On Regression Models Folder

    • Decision Tree Regression
    • Random Forest Regression
    • KFold Cross Validation
    • Grid Search
  • Classification Models Folder

    • Decision Tree & Random Forest Classification
    • Logistic Regression
    • K-NearestNeighbor Classifier (KNN)
    • SVM
  • More Classification Models Folder

    • Decision Tree & Random Forest Classfier
    • XGBoost Classifier
    • Naive Bayes Classifier
  • E2E Projects on Regression & Classification

    • Regression E2E Notebook using Airline Ticket Price Dataset
    • Classification E2E Notebook using Titanic Dataset

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Collection of notebooks I made to illustrate some machine learning concepts and models in this repo, most of the models in this repo are built once from scratch and once using built-in models from libraries like sklearn.

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