jdwilson4 / Intro-Data-ScienceLinks
This is the course website for BSDS 100: "Introduction to Data Science with R" at the University of San Francisco. Assignments, lecture notes, and open source code will all be available on this website.
☆19Updated 2 years ago
Alternatives and similar repositories for Intro-Data-Science
Users that are interested in Intro-Data-Science are comparing it to the libraries listed below
Sorting:
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆21Updated 6 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 6 years ago
- This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…☆19Updated 7 years ago
- Short programming tutorials pertaining to data analysis.☆15Updated 8 years ago
- SigOpt's public R client☆14Updated last year
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Demonstration of parametric bootstrap to find k for kmeans☆10Updated 5 years ago
- Using the function read.table() to break file into chunks to loop and process them. This allows processing files of any size beyond what …☆10Updated 10 years ago
- ☆16Updated 3 years ago
- Materials for a short introductory/intermediate Data Science course taught in the MSc in Business Analytics program at the Central Europe…☆33Updated 7 years ago
- Repository of projects focusing on discussion about experimental design and causal inference between variables using techniques like matc…☆16Updated 6 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Lecture Slides for Introduction to Data Science☆25Updated 2 years ago
- NYU Shortcourse -- "Data Science and Social Science" materials☆38Updated 6 years ago
- MPEDS Annotation Interface☆18Updated 2 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Materials for Nathan and Garrett's tutorial R for Big Data☆17Updated 8 years ago
- Materials for the R Programming Workshop that I teach at The University of Chicago☆34Updated 9 years ago
- Intermediate Python for Data Science Workshop☆24Updated 10 months ago
- This code is to demonstrate the use of esquisse to generate ggplot2 with drag and drop☆9Updated 6 years ago
- Course materials for Sta 101 - Spring 2016 semester at Duke University☆38Updated 8 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- PolYamoR is the first forward-reverse automated translation system between Python and R☆16Updated 8 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- GitHub Repository for the 01/04/2016 Meetup titled "Introduction to Event Log Mining with R".☆13Updated 8 years ago
- Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"☆9Updated 9 years ago
- Codebase to generate simulated data for OpenSDP project☆16Updated 5 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 5 years ago
- Review of time series using regression and neural network methods☆33Updated 6 years ago