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- 收录时间:2022-04-15 文档个数:47 文档大小:384.1 MB 最近下载:2025-05-15 人气:558 磁力链接
2. First Program (Classifier)/3. First Program (Classifier).mp4 58.1 MB
4. Regression/3. Regression Example.mp4 53.5 MB
5. Clustering/3. Kmeans explained.mp4 50.9 MB
3. Iris Classifier/2. Accuracy Score.mp4 34.3 MB
4. Regression/1. Linear Regression.mp4 34.0 MB
5. Clustering/1. Clustering.mp4 32.8 MB
4. Regression/4. Polynomial Regression.mp4 29.7 MB
3. Iris Classifier/1. Iris Classifier.mp4 27.5 MB
3. Iris Classifier/3. See a Decision Tree.mp4 19.4 MB
1. Introduction/4. Supervised Learning.mp4 15.8 MB
1. Introduction/3. Example Problems.mp4 10.2 MB
1. Introduction/2. What is Machine Learning.mp4 9.4 MB
1. Introduction/1. Introduction.mp4 8.6 MB
5. Clustering/1. Clustering.vtt 6.2 kB
4. Regression/3. Regression Example.vtt 5.9 kB
4. Regression/1. Linear Regression.vtt 5.8 kB
2. First Program (Classifier)/3. First Program (Classifier).vtt 5.7 kB
5. Clustering/3. Kmeans explained.vtt 5.5 kB
4. Regression/4. Polynomial Regression.vtt 5.4 kB
3. Iris Classifier/2. Accuracy Score.vtt 4.4 kB
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~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/8. Project Develop a KNN machine model in Python codes.mp4 544.5 MB
~Get Your Files Here !/8. Naive Bayes Classifier/4. Project Develop a Naive Bayes machine model in Python codes.mp4 281.2 MB
~Get Your Files Here !/9. Logistic Regression Classifier/5. Project Develop a Logistic Regression machine model in Python codes.mp4 275.1 MB
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~Get Your Files Here !/8. Naive Bayes Classifier/3. Solve an example to cement the concept of Bayes rule.mp4 204.8 MB
~Get Your Files Here !/10. Decision Tree Classifier/3. Project Develop a Decision Tree machine model in Python codes.mp4 177.8 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/6. Euclidean distance formula to measure the distance between two data points.mp4 156.2 MB
~Get Your Files Here !/3. Principal Component Analysis (PCA)/2. How principal component analysis works Check it graphically.mp4 81.7 MB
~Get Your Files Here !/8. Naive Bayes Classifier/2. Understand Naive Bayes rule by giving a daily life example.mp4 77.0 MB
~Get Your Files Here !/5. Classification and Regression/2. Regression process of a machine model. What is leaner regression.mp4 75.9 MB
~Get Your Files Here !/5. Classification and Regression/1. Classification process of machine model to explore and analyze the data.mp4 75.7 MB
~Get Your Files Here !/2. Introduction to Machine Learning/3. Machine learning vs Deep learning vs Artificial intelligence vs Data Science.mp4 74.0 MB
~Get Your Files Here !/4. Confusion Matrix, Under-fitting & Over-fitting/4. Under-fitting & Over-fitting of a Machine model. Understand it graphically.mp4 67.2 MB
~Get Your Files Here !/2. Introduction to Machine Learning/2. Understand machine learning concept by the examples we face in daily life.mp4 63.3 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/2. How to KNN machine model works Understand it graphically.mp4 61.9 MB
~Get Your Files Here !/4. Confusion Matrix, Under-fitting & Over-fitting/1. Table of a confusion matrix and derive the predicted and actual values.mp4 58.9 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/3. Concept of KNN machine model with a daily a life example. Check it graphically.mp4 55.7 MB
~Get Your Files Here !/7. K-Nearest Neighbors Classifier (KNN)/4. Choosing of an accurate of k value. Why k value is important in KNN model.mp4 51.8 MB
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54 - COURSE MATERIALS (DOWNLOADS)/001 PythonMachineLearning.zip 592.6 MB
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26 - Machine Learning Project III - Identifying Objects with CNNs/004 Tuning the parameters - regularization.mp4 63.4 MB
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