dlab-berkeley / Python-Deep-Learning-Legacy
D-Lab's 6 hour introduction to deep learning in Python. Learn how to create and train neural networks using Tensorflow and Keras.
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Python-Deep-Learning-Legacy
- D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆80Updated last month
- 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 last year
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆133Updated 7 months ago
- API and web scraping workshops☆35Updated 3 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 6 years ago
- 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
- A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)☆76Updated 5 years ago
- D-Lab's 2 hour introduction to web scraping in Python. Learn how to scrape HTML/CSS data from websites using Requests and Beautiful Soup.☆10Updated 7 months ago
- D-Lab's 12 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualizations,…☆140Updated last year
- ☆23Updated 3 years ago
- D-Lab's 6 hour introduction to data wrangling with R. Learn how to manipulate dataframes using the tidyverse in R.☆37Updated last year
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆65Updated 5 years ago
- Repository for a workshop on Bayesian Decision Analysis☆67Updated last year
- D-Lab's 4 part, 8 hour introduction to R Fundamentals. Learn how to create variables and functions, manipulate data frames, make visualiz…☆33Updated 3 weeks ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆122Updated 7 months ago
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Updated 7 years ago
- Beginner's introduction to the pandas library for data manipulation☆25Updated 3 years ago
- A repository containing data and files for my stories on Medium.com.☆53Updated last week
- 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
- DS-GA 1013 Mathematical Tools for Data Science☆51Updated 3 years ago
- Present your data as an effective and compelling story☆103Updated 4 years ago
- Explorations of survival analysis in Python☆51Updated last year
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆190Updated 3 years ago
- We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch☆21Updated 3 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year
- Advanced Python for Data Science Workshop☆13Updated 3 months ago
- Regular expression concepts with code examples☆12Updated 3 years ago
- My weekly (or monthly) data visualisation practicing using data from TidyTuesday, using Python instead of R!☆16Updated 2 years ago