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
Alternatives and similar repositories for Python-Deep-Learning-Legacy:
Users that are interested in Python-Deep-Learning-Legacy are comparing it to the libraries listed below
- 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 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model sele…☆82Updated 2 months ago
- D-Lab's 12 hour introduction to Python. Learn how to create variables and functions, use control flow structures, use libraries, import d…☆169Updated 2 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
- D-Lab's 3 hour introduction to basic Bash commands and using version control with Git and Github.☆134Updated last year
- A starting point for discovering the wonderful world of Git, GitHub, and Git Annex (Assistant)☆76Updated 5 years ago
- Introduction to Programming for UC Berkeley's D-Lab☆24Updated 6 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆64Updated 6 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 data visualization with R. Learn how to create histograms, bar plots, box plots, scatter plots, compound f…☆28Updated 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 3-hour workshop diving deep into Pandas. Learn how to manipulate, index, merge, group, and plot data frames using Pandas function…☆16Updated 7 months ago
- ☆23Updated 3 years ago
- Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles☆192Updated 4 years ago
- Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis…☆124Updated last year
- Text Analysis Workshops for UC Berkeley's D-Lab☆27Updated 7 years ago
- ☆10Updated 8 years ago
- Repository for a workshop on Bayesian Decision Analysis☆69Updated 2 years ago
- Various R lang related material for teaching.☆25Updated 4 years ago
- This repository contains my work that supports my article on Towards Data Science: "Exploring the Most Popular Machine Learning and Deep …☆21Updated 3 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.☆14Updated last year
- ☆33Updated last year
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Interactive flashcards and quizzes, as well as additional tutorials, animations, and code, for "Foundations of Data Science with Python" …☆23Updated 5 months ago
- ☆8Updated 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…☆38Updated 3 months ago
- D-Lab's 6-part, 12-hour introduction to Python. Learn how to create variables, use methods and functions, work with if-statements and for…☆48Updated 7 months ago
- Workshop on fetching and mapping census data with tidycensus☆14Updated 3 years ago
- In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.☆13Updated 2 years ago
- Common dependencies for data science workflows☆28Updated 3 months ago