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Machine Learning

How to Create a Simple Neural Network Model in Python

Neural Networks are a popular (mostly) supervised machine learning algorithm. They can be used for modelling a variety of complicated tasks such as image processing, fraud detection, speech processing, and more. These algorithms can be applied to regression-based problems as well as classification-based problems. Within petrophysics and geoscience, we can use Neural Networks to predict

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Data Science

Data Quality Considerations for Machine Learning Models

Reducing the Impacts of Garbage In Garbage Out on Machine Learning Models Ensuring you have good data quality prior to running machine learning algorithms is a crucial step within the overall data science and machine learning workflow. The use of poor-quality data can lead to severe degradation in the results and have further consequences when

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Image by Reto Scheiwiller from Pixabay
Machine Learning

6 Machine Learning Algorithms to Know About When Learning Data Science

Machine Learning has become very popular over the past decade or so with many industries adopting new algorithms to automate processes and increase productivity. Machine Learning is a branch of Artificial Intelligence (AI) and involves machines/computers learning from data and generating results without being explicitly programmed to do so. In traditional programming, we provide the input data and

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