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I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.
Next, the demo trains a logistic regression model using raw Python, rather than by using a machine learning code library such as Microsoft ML.NET or scikit. [Click on image for larger view.] Figure 1: ...
else: actuals.insert(i,1) Python has many terse one-line syntax shortcuts because the language was designed to be used interactively. Training the Logistic Regression Model Training the model begins ...
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AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete PerformanceA new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
The #Electricity4All Python Challenge: an opportunity to engage the public in improving modelling solutions for sustainable development policies 28 July 2016 During the HLPF 2016, the Development ...
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