Ideas about machine learning and stock market

[ajnebro]

Example 1: prediction of the income growth using classificacion with random forest.

• https://towardsdatascience.com/predicting-the-stock-market-with-machine-learning-introduction-310cd6069ffa
• https://towardsdatascience.com/predicting-the-stock-market-with-machine-learning-benchmarking-44181286389

[ajnebro]

Example 2: Unsupervised Learning: Stock Market Clustering with K-Means

• https://www.mlq.ai/stock-market-clustering-with-k-means/
• Exploratory Data Analysis (EDA) + k-means + Principal Component Analysis (PCA)

[DRTorresRuiz]

Some related posts are included in https://github.com/BigData2020MasterInformatica/FinanceAnalysis/issues/4#issuecomment-721204753, and this article on Stock Price Prediction (Time-Series Forecasting) using Apache Spark could also be inspiring.

Besides, this article could be helpful in deciding which values or metrics to use.

[ajnebro]

Example 4: Streaming + ML with Spark

• https://databricks.com/session/streaming-machine-learning-in-spark
• https://spark.apache.org/docs/latest/mllib-clustering.html#streaming-k-means