A game theoretic approach to explain the output of any machine learning model.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Forecasting the stock prices using generative adversarial networks and sentiment analysis of social networks [MDES vol.10 2022]

This isi machine learing to predicted indeks LQ45

Collection of generative models in Tensorflow

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method th…

Generating synthetic data for crop recommendation

Imbalanced Learning with Parametric Linear Programming Support Vector Machine for Weather Data Application

stock prediction with GAN and WGAN

This was temporary repository. Every works of each team stored in each branch

google it automation with python professional certificate