Intro to Machine Learning


About the Intro to Machine Learning category ( 2 ) (23)
Wiki thread: lesson 1 ( 2 3 4 ) (73)
Was jupyter notebook in _default_allow_remote addr = ipaddress.ip_address(self.ip) (1)
Read_feather() function error (17)
Didn't understood how Jeremy meant by weighted average (3)
Review on Applying first lesson on Kaggle Saberbank russian housing market data (1)
Randomly sampling data - Random forests - Lesson 2 (5)
How do I modify fast ai code (1)
Trouble downloading Train Data Zip file for lesson 1 (2)
Please explain how feather for fast on disk format work (3)
NN tutorial for Pytorch (2)
Wiki / Lesson Thread: Lesson 4 (15)
Wiki/lesson thread: Lesson 3 ( 2 ) (26)
Start with a heuristic? (1)
OOB score vs Validation score (6)
Please help to check my understanding of OOB(Out of Bag Score) (2)
Review for Titanic dataset based on Lesson 1 (6)
The use of mean() in rmse(x,y) lecture 1,2 (2)
Jupyter-notebook-loads-and-works-but-its-incomplete-cut-off (2)
The kernel appears to have died. It will restart automatically (11)
Why isn't mean() working as shown in Jeremy's ML Lecture? (1)
Machine Learning Project Definition. What to measure? (4)
Official MOOC launch today! (9)
Lesson1-rf.ipynb - proc_df() dies if df_raw is read from feather (3)
(name in na_dict) bug in fix_missing() old version of fastai (1)
Wiki / Lesson Thread: Lesson 7 (12)
Confusion about the source code of train_cats(df) (4)
Feature Importance - An Interesting Visualization (2)
Mean Absolute Error in Random Forest Regression (1)
Random Forest Prediction based on one feature? (3)