Sigmoid function, Log Loss, Odds Ratio, Model coefficient, Metrics Photo by Mikael Blomkvist from Pexels Logistic Regression Logistic Regression is one of the supervised machine learning
Tag: Data Science
Unpacking Lists and Tuples in Python
Unpack multiple values, ignore some, handle errors, and more Photo by Markus Spiske on Unsplash. Packing means collecting several values into a single variable (tuple), like a=’red’,’square’,’apple’.
Line of Best Fit in Linear Regression
Correlation Coefficient, Coefficient of determination, Model Coefficient Photo by Laura James from Pexels Linear Regression Linear Regression is one of the most important algorithms in machine
Data Cleaning — How to Handle Missing Values in Pandas
Drop Values, Fill Values, Replace Values Photo by Gabby K from Pexels Handling Missing Values in Pandas Data Cleaning is one of the important steps in EDA. Data
Central Limit Theorem — Clearly Explained
Sampling Distributions, Standard Error Photo by Archie Binamira from Pexels Central Limit Theorem Central Limit Theorem is one of the important concepts in Inferential Statistics. Inferential Statistics means
Inferential Statistics for Data Science
Basics of Probability, Probability Distributions Inferential Statistics Inferential Statistics allows you to make predictions(inferences) from data. Most often, we will work with a large amount
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