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🧠Deanna's Brain
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Blog
Hello World!
Maps
Blog Posts
Data Science
Programming
Python
Statistics
Notes
A Comparison of Classification Methods
About Me
Bar Chart
Base Python
Basic Probabilities
Bayes Classifier
Bimodal (def)
Binomial Distribution
Home
Bootstrap
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
Dotplots
E(X) and Var(X) for continuous probability distributions
Error Rate
Estimating Populations and Samples
Event (def)
Experiments
Frequency (def)
Frequency Density (def)
Generalized Linear Models
Generative Models for Classification
Geometric Distribution
Histogram
Hypothesis Tests
ISLP Package
Joining the Data Science Community
Jupyter Notebook
k-Fold Cross Validation
K-Nearest Neighbors
LDA vs QDA
Leave-One-Out Cross-Validation
Line Graph
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
MatPlotLib
Mean (def)
Mean Squared Error (MSE)
Median (def)
Modal Class (def)
Mode (def)
Multiple Linear Regression
Naive Bayes
Non-Parametric Methods to Estimate f
Normal Distribution
Numpy
Observation (def)
Outliers (def)
Pandas
Parametric Methods to Estimate f
Percentile (def)
Permutations and Combinations
Pie Chart
Poisson Distribution
Probability Density Function
Quadratic Discriminant Analysis
Qualitative Data (def)
Quantitative Data (def)
Quartile (def)
Random Variable (def)
Range (def)
Resampling
Residual Standard Error (RSE)
ROC Curve
Sampling distributions - the difference between two means
Sampling distributions - the difference between two proportions
Simple Linear Regression
Skewed Data (def)
sklearn
Standard Deviation (def)
Standard Score
Statistical Sampling
StatsModels
Stemplots
T-Distribution
Validation Set Approach
Variance (def)
When Your Data Science Project Fails
Why Not Linear Regression
Working with Stakeholders
Observation (def)
an observation is the outcome of an event
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