Pinned Repositories
bg-remove-augment
DataScience_InterviewQuestions
JSON
Create, Send, Transform JSON Data
MLE_Basics_N_Stats
Personal-Profiles-Regex
Parsing with Regex: Using Python
Python_Basics
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
SendDataFrom-R-Python-to-SQL-PSQL-Mongo
various_API_connections
Webscraping
Beautiful Soup with Regx
MrFuguDataScience's Repositories
MrFuguDataScience/JSON
Create, Send, Transform JSON Data
MrFuguDataScience/Webscraping
Beautiful Soup with Regx
MrFuguDataScience/SendDataFrom-R-Python-to-SQL-PSQL-Mongo
MrFuguDataScience/various_API_connections
MrFuguDataScience/MLE_Basics_N_Stats
MrFuguDataScience/Personal-Profiles-Regex
Parsing with Regex: Using Python
MrFuguDataScience/Python_Basics
MrFuguDataScience/DataScience_InterviewQuestions
MrFuguDataScience/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
MrFuguDataScience/bg-remove-augment
MrFuguDataScience/Capstone_2019
MrFuguDataScience/d2l-en
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks. Adopted at 140 universities.
MrFuguDataScience/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
MrFuguDataScience/dlaicourse
Notebooks for learning deep learning
MrFuguDataScience/docs
TensorFlow documentation
MrFuguDataScience/Dummy_Data_Generators
MrFuguDataScience/fastbook
Draft of the fastai book
MrFuguDataScience/General_Computer_Help
MrFuguDataScience/Label_OneHot_encoding
MrFuguDataScience/Mineral_Deposit_Trends_Using_AdjacencyList
MrFuguDataScience/MongoDB_notes
Code with lecture notes
MrFuguDataScience/NLP
MrFuguDataScience/PCA_online_retail
using R vs Python
MrFuguDataScience/R_studio
R studio basics
MrFuguDataScience/sklearn
MrFuguDataScience/stat212b
Topics Course on Deep Learning UC Berkeley
MrFuguDataScience/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."