Lynda Applied Machine Learning Foundations | 618897021FBA0EEA000F38E4EB533BDDB087A150

Lynda Applied Machine Learning Foundations

Name	[Lynda] Applied Machine Learning - Foundations	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	399.2 MB
Total Files	37
Hash	618897021FBA0EEA000F38E4EB533BDDB087A150

/1.Introduction/
01.Leveraging machine learning.mp4	20.1 MB
02.What you should know.mp4	4.7 MB
03.What tools you need.mp4	1.7 MB
04.Using the exercise files.mp4	3.2 MB
/.../2.1. Machine Learning Basics/
05.What is machine learning.mp4	6.3 MB
06.What kind of problems can this help you solve.mp4	8.7 MB
07.Why Python.mp4	12.7 MB
08.Machine learning vs. Deep learning vs. Artificial intelligence.mp4	7.2 MB
09.Demos of machine learning in real life.mp4	11.1 MB
10.Common challenges.mp4	9.4 MB
/.../3.2. Exploratory Data Analysis and Data Cleaning/
11.Why do we need to explore and clean our data.mp4	5.4 MB
12.Exploring continuous features.mp4	25.4 MB
13.Plotting continuous features.mp4	18.7 MB
14.Continuous data cleaning.mp4	15.8 MB
15.Exploring categorical features.mp4	15.9 MB
16.Plotting categorical features.mp4	15.0 MB
17.Categorical data cleaning.mp4	11.6 MB
/4.3. Measuring Success/
18.Why do we split up our data.mp4	9.9 MB
19.Split data for train_validation_test set.mp4	13.6 MB
20.What is cross-validation.mp4	9.5 MB
21.Establish an evaluation framework.mp4	7.3 MB
/5.4. Optimizing a Model/
22.Bias_Variance tradeoff.mp4	8.5 MB
23.What is underfitting.mp4	4.2 MB
24.What is overfitting.mp4	4.8 MB
25.Finding the optimal tradeoff.mp4	5.7 MB
26.Hyperparameter tuning.mp4	10.1 MB
27.Regularization.mp4	4.6 MB
/.../6.5. End-to-End Pipeline/
28.Overview of the process.mp4	2.7 MB
29.Clean continuous features.mp4	14.5 MB
30.Clean categorical features.mp4	11.1 MB
31.Split data into train_validation_test set.mp4	10.2 MB
32.Fit a basic model using cross-validation.mp4	15.6 MB
33.Tune hyperparameters.mp4	19.0 MB
34.Evaluate results on validation set.mp4	19.4 MB
35.Final model selection and evaluation on test set.mp4	25.3 MB
/7.Conclusion/
36.Next steps.mp4	6.5 MB
/Exercise Files/
Ex_Files_Applied_Machine_Learning.zip	3.6 MB
Total files 37