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data-engineering-with-databricks

data-science-bootcamp-2024

deck.gl

WebGL2 powered geospatial visualization layers

mkbacktester

Back test your trading strategy on historical prices on any financial markets (Forex/Stock and others).

python-bootcamp-2023

scalable-machine-learning-with-apache-spark-english

stock-price-prediction-using-gan

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 that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.