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SmartToolFactory / PropertyFindAR

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🏘 🎃 Real Estate Sample App with RxJava3+Coroutines Flow, Dynamic Feature Modules, Dagger Hilt, Offline First, ConcatAdapter, Animations and tests for Room, Retrofit, useCase and ViewModels with TDD.

real-estate android unit-testing offline-first kotlin-android clean-architecture retrofit2 mockwebserver android-animation modularization room-persistence-library mockk navigation-component kotlin-gradle-dsl dynamic-feature rxjava3 coroutines-flow dagger-hilt dynamic-feature-module
  • Updated Nov 22, 2020
  • Kotlin

MBKraus / Predicting_real_estate_prices_using_scikit-learn

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Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression
  • Updated Apr 9, 2019
  • Python

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