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model-prediction

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Prediction-Bitcoin-Price-with-Gated-Recurrent-Unit-RNN

In this project, I created prediction model for predict bitcoin price with Gated Recurrent Unit Model. GRU is a gating mechanism in recurrent neural networks (RNN) similar to a long short-term memory (LSTM), GRU have more simple computation and faster than LSTM because have fewer number of gates.

  • Updated Dec 10, 2020
  • Jupyter Notebook
Bank-Marketing-Term-Deposit-Classifier

This project focuses on predicting customer subscription to term deposits using historical data from direct marketing campaigns. By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and improve campaign efficiency.

  • Updated Sep 11, 2024
  • Jupyter Notebook

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

  • Updated May 5, 2024
  • Jupyter Notebook

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