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time-series-forecasting

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Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

  • Updated Apr 23, 2020
  • Jupyter Notebook

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

  • Updated Jun 30, 2024
  • Jupyter Notebook

Completed Udemy's TensorFlow Developer Course, earning certification on 6th Jan 2024. Includes Jupyter Notebooks and certification PDF. Utilized resources from mrdbourke's TensorFlow repo. Explore assignments, project work, and connect for TensorFlow discussions.

  • Updated Jan 7, 2024
  • Jupyter Notebook

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