[FreeCoursesOnline Me] [LYNDA] Applied Machine Learning Foundations [FCO]
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| Torrent Hash : | FA6FA3238E15B9281AC82C9A493DB3A9A43FAFFE |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 380.95 MB |
[FreeCoursesOnline Me] [LYNDA] Applied Machine Learning Foundations [FCO]
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Torrent File Content (43 files)
[FreeCoursesOnline.Me] [LYNDA] Applied Machine Learning Foundations [FCO]
1.Introduction
01.Leveraging machine learning.mp4 -
1.Introduction
01.Leveraging machine learning.mp4 -
19.14 MB
02.What you should know.mp4 -
4.49 MB
03.What tools you need.mp4 -
1.62 MB
04.Using the exercise files.mp4 -
3.06 MB
2.1. Machine Learning Basics
05.What is machine learning.mp4 -
05.What is machine learning.mp4 -
5.98 MB
06.What kind of problems can this help you solve.mp4 -
8.31 MB
07.Why Python.mp4 -
12.14 MB
08.Machine learning vs. Deep learning vs. Artificial intelligence.mp4 -
6.87 MB
09.Demos of machine learning in real life.mp4 -
10.55 MB
10.Common challenges.mp4 -
8.98 MB
3.2. Exploratory Data Analysis and Data Cleaning
11.Why do we need to explore and clean our data.mp4 -
11.Why do we need to explore and clean our data.mp4 -
5.2 MB
12.Exploring continuous features.mp4 -
24.23 MB
13.Plotting continuous features.mp4 -
17.86 MB
14.Continuous data cleaning.mp4 -
15.07 MB
15.Exploring categorical features.mp4 -
15.14 MB
16.Plotting categorical features.mp4 -
14.29 MB
17.Categorical data cleaning.mp4 -
11.02 MB
4.3. Measuring Success
18.Why do we split up our data.mp4 -
18.Why do we split up our data.mp4 -
9.49 MB
19.Split data for train_validation_test set.mp4 -
12.99 MB
20.What is cross-validation.mp4 -
9.04 MB
21.Establish an evaluation framework.mp4 -
6.98 MB
5.4. Optimizing a Model
22.Bias_Variance tradeoff.mp4 -
22.Bias_Variance tradeoff.mp4 -
8.11 MB
23.What is underfitting.mp4 -
4.04 MB
24.What is overfitting.mp4 -
4.61 MB
25.Finding the optimal tradeoff.mp4 -
5.45 MB
26.Hyperparameter tuning.mp4 -
9.63 MB
27.Regularization.mp4 -
4.41 MB
6.5. End-to-End Pipeline
28.Overview of the process.mp4 -
28.Overview of the process.mp4 -
2.57 MB
29.Clean continuous features.mp4 -
13.79 MB
30.Clean categorical features.mp4 -
10.62 MB
31.Split data into train_validation_test set.mp4 -
9.71 MB
32.Fit a basic model using cross-validation.mp4 -
14.91 MB
33.Tune hyperparameters.mp4 -
18.15 MB
34.Evaluate results on validation set.mp4 -
18.55 MB
35.Final model selection and evaluation on test set.mp4 -
24.12 MB
7.Conclusion
36.Next steps.mp4 -
36.Next steps.mp4 -
6.19 MB
Exercise Files
Ex_Files_Applied_Machine_Learning.zip -
Ex_Files_Applied_Machine_Learning.zip -
3.41 MB
Discuss.FTUForum.com.html -
31.89 KB
FreeCoursesOnline.Me.html -
108.3 KB
FTUForum.com.html -
100.44 KB
How you can help Team-FTU.txt -
235 bytes
NulledPremium.com.url -
163 bytes
Torrent Downloaded From GloDls.to.txt -
84 bytes
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