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jcross

Jared Cross

Recently Published

Titanic Day 3: Kaggle
Spaceship Titanic GBM
Random Forests - Spaceship Titanic
Genetic Algorithms
2024 March Mania - New Rules!
Kaggle March Mania 2024 day 1
Kaggle March Madness
Test Quarto Doc
Basketball Logistic Regression
Speed Dating Mixed Effects Models
Principle Components - Adv Stats
Genetic Algorithms - Advanced Stats
Speed Dating and Logistic Regression
Logistic Regression
Binomial RV Lab Solns
Best Fit Lines are Models
kaggle_NCAA
Bootstrapping Lab
Sampling in R
Discrete Random Variable and the CLT
Multiple Regression Lab
Multiple Regression Lab
Best Fit Line Lab
Best Fit Lines
Estimating Uncertainty
Bootstrapping
RMSE and MAE
Sampling in R
Cross Validation with Mammals
Training and Test Sets
Looking at the out-of-sample RMSE of models
Multiple Regression Lab
Explore 8 different datasets from the openintro and datarium packages and build multiple regression models.
Ray Fair and Linear Regression
Iowa Caucus Prediction Contest
Does GDP Growth Predict Election Results?
Bootstrapping
Joins
dplyr and Primary Election Data
Discrete Random Variables and the Central Limit Theorem
Best Fit Lines
Density-Based Spatial Clustering
K means Clustering
Women's NCAA Tournament Simulation
Extra March Madness Data Sources
Modifying Predictions
Simulating the Tournament
Combining and Comparing Forecasts
Predicting Point Differentials
Log5, Logistic Regression and Bradley-Terry
The Log Loss Formula
March Madness: Getting Started
House Prices: Combining GBM, Random Forests and LASSO
House Prices: Combining GBM and Random Forests
House Prices with Feature Engineering and Cross Validation
House Prices with Cross Validation
Predicting House Prices
A Numbers Game
Boosting the Titanic
The Genetic Algorithm Itself
Genetic Algorithms
Speed Dating and *Mixed Effects* Logistic Regression
Bayes Lab 1: Extra Challenges
Bayes Lab 1
Speed Dating and Logistic Regression
Kepler's Laws
Multiple Regression Lab
Ray Fair and Bootstrapped Predictions
Ray Fair and Multiple Regression Slides
Ray Fair and Multiple Regression
Ray Fair: Predicting the Results of Presidential Elections (one page)
Ray Fair: Predicting the Results of Presidential Elections
2018 House Election Prediction/Exploration Project
Polling Data
Comparing polling results and elections results
Correlation and Best Fit Lines
Taxi Fares Day 3: Neighborhoods and Fare Hikes
Taxi Fares Day 2
Important Locations and Decision Trees
Taxi Fares Day 1
Titanic Decision Trees
Titanic Kaggle Submission
Titanic Data Transformation
Introducing dplyr's filter, arrange, select, mutate and summarize
Plotting the Titanic
Using ggplot2 to explore the Kaggle Titanic Data Set
Data Science: Introduction to R
Logistic Regression and Kickers
Genetic Algorithms
Logistic Regression and Bill James
FIFA Player Ratings Supplement
Predicting FIFA Player Ratings
Constructing Phylogenetic Trees
Diploid Selection: Three Alleles
Survival of the Fittest Words
The Run Value of Baseball Events
Shot Made Linear Regression
Diploid Selection
Evaluating NFL Decision Trees
The Blind Phrase Maker
Island and Stepping Stone Models
Decision Trees to Predict NFL Play Outcomes
ELO for the 2017 Tournament
Shot Made Decision Trees
Multi-Check ELO
The Full Elo
ELO: Game Weights and Kaggle Submission Files
ELO with Margin of Victory
Random Drift and Mutation
Faster ELO and HFA
Testing ELO ratings
ELO ratings
Forecasting NCAA Free Throw %
Random Genetic Drift Markov Chain
Bayesian Analysis Lab
Reshaping Data with tidyr
Random Genetic Drift in R
NBA Scores by Quarter
Bootstrapping NFL
Bootstrapping and Split Half Correlations
Polya and Moran Processes
How Competitive is the Premier League?
Which Statistics Win Games?
Best Fit Lines
Linkage Analysis
Year to Year Correlations
Expected Points by Yard Line
Mammal Sleep Times
Join Challenges
Introduction to Joins
Discrete Random Variables
NFL play-by-play data
The Size of the Strike Zone
Binomial Formula Lab
PITCHf/x dplyr homework
ggplot2: Visualizing NBA shot data
The Central Limit Theorem
Grouping and Summarizing NBA play-by-play data
Simulating Crosses
Data Transformation 2
Data Transformation Lahman
Estimating Exit Velocity from Hang Time and Distance
League Offense