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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.

After training, the model is applied to the training data and the test data. The model scores 88 percent accuracy (176 out of 200) on the training data, and 80 percent accuracy (32 out of 40) on the ...

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 ...