jdwilson4 / Intro-Data-Science
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:
- 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
- The material presented here is for the 4-week summer course Network Analysis I in Summer, 2017 for the Inter-university Consortium for Po…☆40Updated 7 years ago
- Machine Learning #1 and #2 courses at CEU Master of Science in Business Analytics☆21Updated 6 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 8 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 6 years ago
- Introduction to Scientific Python☆15Updated 5 years ago
- Lecture Slides for Introduction to Data Science☆25Updated 2 years ago
- ☆22Updated 5 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
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- Course materials for Sta 101 - Spring 2016 semester at Duke University☆38Updated 8 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University☆18Updated 4 years ago
- Extracting data from Twitter for #machinelearningflashcards☆45Updated 2 years ago
- Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes☆28Updated 7 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated last month
- ☆13Updated 6 years ago
- Lecture notes from a statistics course I teach at Potsdam☆29Updated 4 years ago
- Most recent/important talks given at conferences/meetups☆14Updated 4 years ago
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 7 years ago
- MPEDS Annotation Interface☆18Updated 2 years ago
- Inspired by John Foreman. Created by the crowds.☆54Updated last year
- Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"☆19Updated 2 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
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Demonstration of parametric bootstrap to find k for kmeans☆10Updated 4 years ago
- Presentations from meetups and conferences☆18Updated 4 years ago
- ☆31Updated 8 years ago