Intro to Machine Learning


Topic Replies Activity
Plotting actuals vs predicted by feature 1 May 11, 2020
Set_rf_samples and OOB score - Why are they not compatible 5 May 8, 2020
Why not merge train and test before applying train_cats and proc_df? 2 May 7, 2020
ModuleNotFoundError: No module named 'dataclasses' 32 May 5, 2020
Wiki / Lesson Thread: Lesson 9 11 May 1, 2020
How smart is Random Forest with the Features 1 April 29, 2020
How to choose values for a Numeric Feature in a Decision Tree 1 April 28, 2020
How does decreasing Random Forest samples size increase correlation? 3 April 26, 2020
Automating Random Forests 3 April 18, 2020
Why our rmse gives us lower score in comparison with model.score 3 April 18, 2020
Fit() for Random Forest keeps crashing on lesson 1 4 April 18, 2020
Script for blanking code from notebooks for practice 1 April 17, 2020
Read_feather() function error 24 April 10, 2020
Value error in using add_datepart 1 April 6, 2020
AWS SageMaker Jupyter Notebooks 1 April 3, 2020
Intro to machine learning errors 2 March 28, 2020
Lesson 7: Random Forest from Scratch implementation question 2 March 24, 2020
Are there any current setup documentation for Intro to Machine Learning Course, or are they all out of date? 2 March 20, 2020
Difference in Sample size for different labels 1 March 17, 2020
I wonder how Jeremy does Hypothesis Testing and clustering? 1 March 8, 2020
How to integrate fastai library on Kaggle kernels? 7 March 5, 2020
Exploring for Good Author Book! 5 March 4, 2020
Starter issues with Paperspace for fastai Machine Leaning course 5 February 23, 2020
Where can I learn boosting algorithms after Intro to ML Course? 3 February 19, 2020
Lesson 5 wiki 7 February 18, 2020
Rf_feat_importance in fastai 1.0 2 February 15, 2020
Modules needed for DotProdNB 2 February 6, 2020
One hot encoding for large number of categorical values? 2 February 6, 2020
Theory and example about Naive Bayes Classifier 16 December 11, 2017
Ancient Fastai Machine Learning Functions 6 February 3, 2020