Once the equation is established, it can be used to predict the Y when only the Xs are known. The goal is to determine a mathematical equation that can be used to predict the probability of event 1. That is, it can take only two values like 1 or 0. Logistic regression is a predictive modelling algorithm that is used when the Y variable is binary categorical.
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Modin – How to speedup pandas by changing one line of code.Dask – How to handle large dataframes in python using parallel computing.101 NumPy Exercises for Data Analysis (Python).Logistic Regression in Julia – Practical Guide with Examples.Gradient Boosting – A Concise Introduction from Scratch.Portfolio Optimization with Python using Efficient Frontier with Practical Examples.Brier Score – How to measure accuracy of probablistic predictions.Top 15 Evaluation Metrics for Classification Models.Feature Selection – Ten Effective Techniques with Examples.
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Time Series Analysis in Python – A Comprehensive Guide with Examples.ARIMA Model – Complete Guide to Time Series Forecasting in Python.Augmented Dickey Fuller Test (ADF Test) – Must Read Guide.What does Python Global Interpreter Lock – (GIL) do?.Lambda Function in Python – How and When to use?.Python Yield – What does the yield keyword do?.cProfile – How to profile your python code.
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Python Collections – An Introductory Guide.datetime in Python – Simplified Guide with Clear Examples.Python Logging – Simplest Guide with Full Code and Examples.Python Regular Expressions Tutorial and Examples: A Simplified Guide.Python Explained – How to Use and When? (Full Examples).Parallel Processing in Python – A Practical Guide with Examples.List Comprehensions in Python – My Simplified Guide.