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model-performance-comparison

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labrijisaad / Prediction-du-cours-de-Bourse

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Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

python machine-learning linear-regression exploratory-data-analysis data-visualization data-preparation stock-price-forecasting time-series-analysis model-development pandas-ta apple-inc-aapl model-performance-comparison long-short-term-memory-lstm support-vector-machines-svm autoregressive-integrated-moving-average-arima
  • Updated Dec 20, 2022
  • Jupyter Notebook

vicaaa12 / advanced-machine-learning

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Advanced Machine Learning

exploratory-data-analysis ensemble-learning outlier-detection confusion-matrix data-preprocessing hyperparameter-tuning model-comparison correlation-matrix feature-importance gradientboostinclassifier xgboost-classifier randomforest-classification missing-value-imputation randomsearchcv adaboost-classifier oversampling-technique undersampling-technique bagging-classifier model-performance-comparison
  • Updated Feb 23, 2024
  • Jupyter Notebook

SayamAlt / Unemployment-Rate-Forecasting-using-Statsmodels-LSTMs-and-Prophet

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Unemployment Rate Forecasting using Time Series techniques, leveraging Statsmodels, LSTMs, and Facebook's Prophet library to predict future unemployment trends. The project includes model comparison, hyperparameter tuning, and visualization of forecasted results.

deep-learning descriptive-statistics statsmodels lstm-neural-networks time-series-analysis facebook-prophet-forecasting time-series-forecasting arima-forecasting auto-arima augmented-dickey-fuller-test stationarity-test model-performance-comparison time-series-generation
  • Updated Oct 7, 2024
  • Jupyter Notebook

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