[ WebToolTip.com ] Udemy - Supervised Machine Learning Explained - The Top 5 Models

[ WebToolTip.com ] Udemy - Supervised Machine Learning Explained - The Top 5 Models metadata, size 3496.23 MB, 60 files, category video, indexed at 2026-08

大小：3.4 GB 格式：mp4 分类：视频文件数量：60 个 发掘时间：2026-08-03 17:34:40 最后活跃：2026-08-03 17:34:40

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Infohash267e5dbf4041c2f0d58417382bcc41db4fdc5cfa 总大小3.4 GB 格式mp4 分类视频文件数60 发掘时间（北京时间）2026-08-03 17:34:40 最后活跃（北京时间）2026-08-03 17:34:40

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video mp4 udemy machine top learning webtooltip models explained supervised

文件列表

文件名	格式	大小
Get Bonus Downloads Here.url	url	180 B
1 - Welcome! (Description).html	html	1.6 KB
1 - Welcome!.mp4	mp4	123.2 MB
2 - Setup & Resources (Description).html	html	1.4 KB
2 - Setup & Resources.mp4	mp4	159.8 MB
3 - Exploring Downloadable Notebooks.html	html	8.6 KB
4 - What Learning Means in Machine Learning (Description).html	html	2.6 KB
4 - What Learning Means in Machine Learning.mp4	mp4	177.1 MB
5 - Datasets Features, Targets, and Rows (Description).html	html	2.7 KB
5 - Datasets Features, Targets, and Rows.mp4	mp4	138.7 MB
5 - episode_1_2_used_car_dataset.xlsx	xlsx	5.5 KB
6 - Train vs. Test Why We Split Data (Description).html	html	2.4 KB
6 - Train vs. Test Why We Split Data.mp4	mp4	140.2 MB
7 - How To Train Test Split.html	html	12.9 KB
1 - Foundations of Supervised Learning.html	html	24.7 KB
10 - How to Linear Regression and Evaluation.html	html	12.9 KB
11 - Overfitting and Underfitting (Description).html	html	2.3 KB
11 - Overfitting and Underfitting.mp4	mp4	290.5 MB
8 - Linear Regression Predicting Numbers (Description).html	html	2.3 KB
8 - Linear Regression Predicting Numbers.mp4	mp4	202.8 MB
8 - LinearRegressionExemplar.ipynb.bin	bin	5.4 KB
9 - Loss Functions Measuring Error (Description).html	html	2.4 KB
9 - Loss Functions Measuring Error.mp4	mp4	254.2 MB
12 - Logistic Regression Predicting Classes (Description).html	html	2.2 KB
12 - Logistic Regression Predicting Classes.mp4	mp4	230.6 MB
12 - LogisticRegressionExemplar.ipynb.bin	bin	26.4 KB
13 - Probabilities and Decision Thresholds (Description).html	html	2.1 KB
13 - Probabilities and Decision Thresholds.mp4	mp4	75.5 MB
14 - Confusion Matrices and Classification Metrics (Description).html	html	2.3 KB
14 - Confusion Matrices and Classification Metrics.mp4	mp4	171.8 MB
15 - How to Logistic Regression and Evaluation.html	html	13.4 KB
2 - Classification and Decision-Making.html	html	24.7 KB
16 - k-Nearest Neighbors Distance-Based Learning (Description).html	html	2.0 KB
16 - k-Nearest Neighbors Distance-Based Learning.mp4	mp4	255.2 MB
16 - kNearestNeighborsExemplar.ipynb.bin	bin	14.8 KB
17 - How to Choose k.html	html	10.6 KB
18 - Feature Scaling and Why It Matters (Description).html	html	2.1 KB
18 - Feature Scaling and Why It Matters.mp4	mp4	141.7 MB
19 - How to KNN and Feature Scaling.html	html	13.2 KB
3 - Similarity-Based Learning.html	html	25.9 KB
20 - Decision Trees Learning Rules (Description).html	html	1.8 KB
20 - Decision Trees Learning Rules.mp4	mp4	215.4 MB
20 - DecisionTreeExemplar.ipynb.bin	bin	9.9 KB
21 - Tree Depth and Model Complexity (Description).html	html	1.6 KB
21 - Tree Depth and Model Complexity.mp4	mp4	178.4 MB
22 - How to Decision Trees.html	html	13.5 KB
23 - Cross-Validation Testing Model Stability (Description).html	html	2.0 KB
23 - Cross-Validation Testing Model Stability.mp4	mp4	129.8 MB
24 - How to Cross-Validation.html	html	9.1 KB
4 - Decision Trees and Model Complexity.html	html	26.3 KB

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