dlab-berkeley / Python-Machine-LearningLinks
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
☆83Updated this week
Alternatives and similar repositories for Python-Machine-Learning
Users that are interested in Python-Machine-Learning are comparing it to the libraries listed below
Sorting:
- D-Lab's 3 hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compo…☆56Updated 2 years ago
- D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import d…☆168Updated 2 years ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated 2 years ago
- D-Lab's 3 hour introduction to Qualtrics Fundamentals. Learn how to design and manage your own surveys in Qualtrics.☆14Updated last year
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆38Updated 2 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆65Updated 6 years ago
- D-Lab's 3 hour introduction to data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Updated last year
- D-Lab's 3 hour introduction to data wrangling in Python. Learn how to import and manipulate dataframes using pandas in Python.☆52Updated 2 years ago
- D-Lab R-intensive teaching materials☆22Updated 8 years ago
- Workshop on fetching and mapping census data with tidycensus☆14Updated 3 years ago
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Updated 7 years ago
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆133Updated last year
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆191Updated 4 years ago
- API and web scraping workshops☆35Updated 4 years ago
- ☆23Updated 3 years ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Updated last year
- Manual of best practices in research transparency☆45Updated 7 years ago
- ☆9Updated 4 years ago
- This is the repository for D-Lab's Geospatial Fundamentals in R with sf workshop.☆53Updated last year
- ☆49Updated 3 years ago
- An introductory statistics course for social scientists, using Stata☆50Updated 2 years ago
- Machine Learning for Social Science☆85Updated 3 years ago
- 😎 Awesome lists about all kinds of topics and tools interesting to D-Labbers☆17Updated 8 months ago
- D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word emb…☆43Updated 3 years ago
- Introduction to Computational Tools and Techniques for Social Research☆99Updated 4 years ago
- Course site for Computing for Information Science (INFO 5940)☆44Updated 2 years ago
- D-Lab workshop on "Data Wrangling and Manipulation in R"☆12Updated 8 years ago
- The joy and power of functional programming in R☆28Updated 3 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 6 years ago
- Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)☆48Updated 7 years ago