The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to predict stock ...

2.3 Evaluation model for landslide susceptibility. To avoid the uncertain impact of different machine learning models on the evaluation results of landslide susceptibility, it is proposed to adopt the ...

[17] used the machine learning algorithm Random Forests to train models using non-spatial and spatial cross-validation strategies to understand how spatial variable selection affects the predictions.

Similarly, the Scikit-Learn and TensorFlow libraries are employed for machine learning jobs, and Django is a well-liked Python web development framework. 5 Python libraries that help interpret ...

Keywords: water quality, surrogate, nutrient concentration, Random Forest, Multiple Linear Regression, soft sensor, real-time. Citation: Tran YB, Arias-Rodriguez LF and Huang J (2022) Predicting ...

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers.