Download Udemy - Machine Learning for Beginner Torrent

Torrent Contents Size: 3.6 GB

Udemy - Machine Learning for Beginner

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1. Classification process of machine model to explore and analyze the data.mp4	MP4	72.2 MB
1. Introduction to K-Nearest Neighbors classifier (KNN).mp4	MP4	30.3 MB
1. Introduction to Naive Bayes Classifier. What is Bayes rule.mp4	MP4	45.8 MB
1. Introduction to Principal Component Analysis (PCA).mp4	MP4	22.1 MB
1. Introduction to Support Vector Machine (SVM).mp4	MP4	30.8 MB
1. Introduction to a Decision Tree Classifier.mp4	MP4	16.6 MB
1. Introduction.mp4	MP4	5.6 MB
1. Introduction.srt	SRT	921.6 B
1. Table of a confusion matrix and derive the predicted and actual values.mp4	MP4	56.2 MB
1. What is Logistic Regression Classifier Formula of Logistic regression model.mp4	MP4	27.4 MB
1. What is Machine learning.mp4	MP4	25.3 MB
10. Applications of support vector machine (SVM) in daily life.mp4	MP4	11 MB
10. ebook.html	HTML	0 B
10.1 Introduction.pdf	PDF	1.3 MB
10.1 K_neighbors_classifier.pdf	PDF	1.1 MB
11. Project Develop a support vector machine model in Python.mp4	MP4	255.6 MB
11. Project Develop a support vector machine model in Python.srt	SRT	47.7 KB
12. Codes Colab file and Python file. SVM machine model in Python programming.html	HTML	102.4 B
12.1 SVM_classifier.ipynb	IPYNB	21.4 KB
12.2 svm_classifier.py	PY	4 KB
13. ebook.html	HTML	0 B
13.1 Suport Vector Machine Classifier.pdf	PDF	1.2 MB
2. Accuracy and Error rate of a Machine model.mp4	MP4	9.6 MB
2. Block diagram of a Decision Tree Classifier. How Decision Tree model works.mp4	MP4	8.1 MB
2. Block diagram of support vector machine. How support vector machine works.mp4	MP4	18.5 MB
2. Block diagram of support vector machine. How support vector machine works.srt	SRT	6.9 KB
2. How principal component analysis works Check it graphically.mp4	MP4	77.9 MB
2. How principal component analysis works Check it graphically.srt	SRT	13 KB
2. How to KNN machine model works Understand it graphically.mp4	MP4	59.1 MB
2. Regression process of a machine model. What is leaner regression.mp4	MP4	72.4 MB
2. Understand Logistic Regression machine model graphically.mp4	MP4	31.2 MB
2. Understand Naive Bayes rule by giving a daily life example.mp4	MP4	73.4 MB
2. Understand machine learning concept by the examples we face in daily life.mp4	MP4	60.4 MB
3. Concept of KNN machine model with a daily a life example. Check it graphically.mp4	MP4	53.1 MB
3. How to separate a non-linear data by using logistic regression machine model.mp4	MP4	32.4 MB
3. Linear support vector machine. Understand it graphically.mp4	MP4	36.4 MB
3. Machine learning vs Deep learning vs Artificial intelligence vs Data Science.mp4	MP4	70.6 MB
3. Mathematical perspective of PCA. What is covariance matrix.mp4	MP4	43 MB
3. Precision and Recall of a Machine model.mp4	MP4	25.3 MB
3. Project Develop a Decision Tree machine model in Python codes.mp4	MP4	169.6 MB
3. Solve an example to cement the concept of Bayes rule.mp4	MP4	195.3 MB
3. Understand linear regression mathematically and graphically.mp4	MP4	37.2 MB
4. Applications of Logistic Regression machine model in daily life.mp4	MP4	34.6 MB
4. Choosing of an accurate of k value. Why k value is important in KNN model.mp4	MP4	49.4 MB
4. Codes Colab file and Python file. Decision Tree model in Python programming.html	HTML	102.4 B
4. Non-linear regression or Logistic regression of a machine model.mp4	MP4	40.8 MB
4. Optimal Hyperplane of a linear support vector machine. Optimal vs Not optimal.mp4	MP4	36.5 MB
4. Project Develop a Naive Bayes machine model in Python codes.mp4	MP4	268.2 MB
4. Under-fitting & Over-fitting of a Machine model. Understand it graphically.mp4	MP4	64.1 MB
4. Understand PCA mathematically by solving an example of covariance matrix.mp4	MP4	234.9 MB
4. What are the fields where we can use Machine learning.mp4	MP4	22.6 MB
4.1 Decision_tree_classifier.ipynb	IPYNB	15.3 KB
4.2 decision_tree_classifier.py	PY	2.4 KB
5. Codes Colab file and Python file. Naive Bayes model in Python programming.html	HTML	102.4 B
5. How linear SVM model predicts Give a new data and check it graphically.mp4	MP4	21.5 MB
5. Outliers in KNN model. Why outliers of a data is recommended in KNN model.mp4	MP4	28.2 MB
5. Project Develop a Logistic Regression machine model in Python codes.mp4	MP4	262.4 MB
5. Types of Machine learning.mp4	MP4	17.4 MB
5. ebook.html	HTML	0 B
5.1 Classification and Regression.pdf	PDF	1.4 MB
5.1 Confusion matrix, under-fitting and over-fitting.pdf	PDF	396 KB
5.1 Decision Tree Classifier.pdf	PDF	719.9 KB
5.1 Naive_bayes_classifier.ipynb	IPYNB	10.6 KB
5.1 Principal Component Analysis (PCA).pdf	PDF	676.5 KB
5.2 naive_bayes_classifier.py	PY	2.5 KB
6. CodesColab file and Python file.Logistic regression model in Python programming.html	HTML	102.4 B
6. Euclidean distance formula to measure the distance between two data points.mp4	MP4	148.9 MB
6. Non-linear support vector machine. Graphs of non-linear SVM models.mp4	MP4	9.9 MB
6. What are supervised, unsupervised and reinforcement of machine learning.mp4	MP4	44.8 MB
6. ebook.html	HTML	0 B
6.1 Logistic_Regression.ipynb	IPYNB	85.4 KB
6.1 Naive_bayes_classifier.pdf	PDF	946.3 KB
6.2 logistic_regression.py	PY	3.6 KB
7. Kernel technique of non-linear SVM model. Three types of kernel techniques.mp4	MP4	15.8 MB
7. Manhattan distance formula to measure the distance between two data points.mp4	MP4	11.1 MB
7. Methods for evaluating the machine model.mp4	MP4	41.8 MB
7. ebook.html	HTML	0 B
7.1 Logistic regression Classifier.pdf	PDF	926 KB
8. Project Develop a KNN machine model in Python codes.mp4	MP4	519.3 MB
8. Transformation from 1-D to 2-D using non-linear kernel trick to separate data.mp4	MP4	21 MB
8. Types of famous classifiers of Machine learning.mp4	MP4	10.4 MB
9. Codes Colab file and Python file. KNN machine model in Python programming.html	HTML	102.4 B
9. How to develop a Machine model in Python And what are the steps.mp4	MP4	44 MB
9. Transformation from 2-D to 3-D using non-linear kernel trick to separate data.mp4	MP4	17.9 MB
9.1 K_neighbors_classifier.ipynb	IPYNB	23.3 KB
9.2 k_neighbors_classifier.py	PY	3.1 KB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Machine Learning for Beginner

Torrent Contents Size: 3.6 GB

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