Intro to Machine Learning


Anaconda Installation (3)
OOB score, Lesson 2 (1)
Wiki / Lesson Thread: Lesson 8 ( 2 ) (29)
Understanding subsampling (2)
Random forest regressor MSE error? (1)
F1 score on Lesson 1 (2)
How to apply proc_df on test data? (3)
Models in kaggle kernel (2)
Using RF for protein classification (1)
Feature importance after extrapolation- Why does it change (1)
What will be covered in Machine Learning 2? (4)
Error while activating conda environment (3)
Wiki / Lesson Thread: Lesson 10 (3)
Why is nas variable necessary? (15)
Class Notes Section 2 - Wk2Lec2 (8)
Why does parallell_trees takes much longer than model.predict? (5)
R2 score grows. Mean log squared error grows. Why? (1)
Inconsistent results using RF (3)
Overfitting grows as I train the model with more data. Is this right? (2)
Oob score in random forest (2)
Boosted trees (2)
Leakage through fix_missing() in proc_df() function? (5)
Train_cats vs get_dummies (9)
ModuleNotFoundError: No module named 'pdpbox' (17)
How to train using multiple dataframes just like given in grocery sales competition? (1)
Lesson 8: You can only do log2(n) decisions with Random Forests? (1)
Window10 : cannot import name 'as_tensor' (5)
How to download data from kaggle into clouderizer (1)
Cyfar.ipynb cuda runtime error (77) : an illegal memory access (2)
Lesson 7: Behavior of `find_better_split` when `min_leaf` >1 (1)