🧠 Deanna's Brain

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🧠 Deanna's Brain

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Maps

Notes

A Comparison of Classification Methods

Basic Probabilities

Bayes Classifier

Binomial Distribution

Box and Whisker Plots

Chi Squared Distribution

Confidence Intervals

Confusion Matrix

Continuous Data (def)

Correlation and Regression

Cross-Validation of Classification Problems

Cumulative Frequency (def)

Data Science Book Resources

Deploying a Model Into Production

Discrete Data (def)

Discrete Probability Distributions

Distribution Anatomy

E(X) and Var(X) for continuous probability distributions

Estimating Populations and Samples

Frequency (def)

Frequency Density (def)

Generalized Linear Models

Generative Models for Classification

Geometric Distribution

Hypothesis Tests

Joining the Data Science Community

Jupyter Notebook

k-Fold Cross Validation

K-Nearest Neighbors

Leave-One-Out Cross-Validation

Linear Discriminant Analysis for p eq1

Linear Discriminant Analysis for p greater than 1

Linear Regression Considerations

Linear Regression vs K-Nearest Neighbors

Logistic Regression

Making an Effective Analysis

Mean Squared Error (MSE)

Modal Class (def)

Multiple Linear Regression

Non-Parametric Methods to Estimate f

Normal Distribution

Observation (def)

Parametric Methods to Estimate f

Percentile (def)

Permutations and Combinations

Poisson Distribution

Probability Density Function

Quadratic Discriminant Analysis

Qualitative Data (def)

Quantitative Data (def)

Random Variable (def)

Residual Standard Error (RSE)

Sampling distributions - the difference between two means

Sampling distributions - the difference between two proportions

Simple Linear Regression

Skewed Data (def)

Standard Deviation (def)

Statistical Sampling

Validation Set Approach

When Your Data Science Project Fails

Why Not Linear Regression

Working with Stakeholders

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Mode (def)

Mode

the value in the data set with the highest frequency
the mode has to be in the data set. It's the only average that works with categorical data

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I'm Deanna, a data person who's passionate about getting actionable data in the hands of decision makers. On this blog, you'll find my knowledge as it grows organically and concise summaries of what I know. If you're new to the world of data, I hope you'll feel right at home!

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