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[GigaCourse.Com] Udemy - Python for Machine Learning The Complete Beginner's Course
magnet:?xt=urn:btih:53d8351e5f14e26cf79e4c81c021dc0c662b9dd3&dn=[GigaCourse.Com] Udemy - Python for Machine Learning The Complete Beginner's Course
磁力链接详情
Hash值:
53d8351e5f14e26cf79e4c81c021dc0c662b9dd3
点击数:
140
文件大小:
684.84 MB
文件数量:
80
创建日期:
2023-4-13 00:26
最后访问:
2024-8-18 14:07
访问标签:
GigaCourse
Com
Udemy
-
Python
for
Machine
Learning
The
Complete
Beginner's
Course
文件列表详情
1. Introduction to Machine Learning/1. What is Machine Learning.mp4 7.48 MB
1. Introduction to Machine Learning/2. Applications of Machine Learning.mp4 6.51 MB
1. Introduction to Machine Learning/3. Machine learning Methods.mp4 3.7 MB
1. Introduction to Machine Learning/4. What is Supervised learning.mp4 6.23 MB
1. Introduction to Machine Learning/5. What is Unsupervised learning.mp4 5.95 MB
1. Introduction to Machine Learning/6. Supervised learning vs Unsupervised learning.mp4 14.33 MB
1. Introduction to Machine Learning/7.14 u.data 1.98 MB
2. Simple Linear Regression/1. Introduction to regression.mp4 8.97 MB
2. Simple Linear Regression/2. How Does Linear Regression Work.mp4 7.68 MB
2. Simple Linear Regression/3. Line representation.mp4 5.45 MB
2. Simple Linear Regression/4. Implementation in python Importing libraries & datasets.mp4 7.55 MB
2. Simple Linear Regression/5. Implementation in python Distribution of the data.mp4 9.46 MB
2. Simple Linear Regression/6. Implementation in python Creating a linear regression object.mp4 13.22 MB
3. Multiple Linear Regression/1. Understanding Multiple linear regression.mp4 6.32 MB
3. Multiple Linear Regression/2. Implementation in python Exploring the dataset.mp4 13.31 MB
3. Multiple Linear Regression/3. Implementation in python Encoding Categorical Data.mp4 28.92 MB
3. Multiple Linear Regression/4. Implementation in python Splitting data into Train and Test Sets.mp4 8.83 MB
3. Multiple Linear Regression/5. Implementation in python Training the model on the Training set.mp4 8.62 MB
3. Multiple Linear Regression/6. Implementation in python Predicting the Test Set results.mp4 17.83 MB
3. Multiple Linear Regression/7. Evaluating the performance of the regression model.mp4 6.01 MB
3. Multiple Linear Regression/8. Root Mean Squared Error in Python.mp4 11.83 MB
4. Classification Algorithms K-Nearest Neighbors/1. Introduction to classification.mp4 4.67 MB
4. Classification Algorithms K-Nearest Neighbors/10. Implementation in python Results prediction & Confusion matrix.mp4 9.67 MB
4. Classification Algorithms K-Nearest Neighbors/2. K-Nearest Neighbors algorithm.mp4 6.05 MB
4. Classification Algorithms K-Nearest Neighbors/3. Example of KNN.mp4 3.48 MB
4. Classification Algorithms K-Nearest Neighbors/4. K-Nearest Neighbours (KNN) using python.mp4 6.14 MB
4. Classification Algorithms K-Nearest Neighbors/5. Implementation in python Importing required libraries.mp4 5.11 MB
4. Classification Algorithms K-Nearest Neighbors/6. Implementation in python Importing the dataset.mp4 9.29 MB
4. Classification Algorithms K-Nearest Neighbors/7. Implementation in python Splitting data into Train and Test Sets.mp4 19.69 MB
4. Classification Algorithms K-Nearest Neighbors/8. Implementation in python Feature Scaling.mp4 5.73 MB
4. Classification Algorithms K-Nearest Neighbors/9. Implementation in python Importing the KNN classifier.mp4 12.51 MB
5. Classification Algorithms Decision Tree/1. Introduction to decision trees.mp4 6.49 MB
5. Classification Algorithms Decision Tree/2. What is Entropy.mp4 5.23 MB
5. Classification Algorithms Decision Tree/3. Exploring the dataset.mp4 5.96 MB
5. Classification Algorithms Decision Tree/4. Decision tree structure.mp4 6.39 MB
5. Classification Algorithms Decision Tree/5. Implementation in python Importing libraries & datasets.mp4 4.65 MB
5. Classification Algorithms Decision Tree/6. Implementation in python Encoding Categorical Data.mp4 16.98 MB
5. Classification Algorithms Decision Tree/7. Implementation in python Splitting data into Train and Test Sets.mp4 4.92 MB
5. Classification Algorithms Decision Tree/8. Implementation in python Results prediction & Accuracy.mp4 10.44 MB
6. Classification Algorithms Logistic regression/1. Introduction.mp4 6.59 MB
6. Classification Algorithms Logistic regression/2. Implementation steps.mp4 5.49 MB
6. Classification Algorithms Logistic regression/3. Implementation in python Importing libraries & datasets.mp4 6.82 MB
6. Classification Algorithms Logistic regression/4. Implementation in python Splitting data into Train and Test Sets.mp4 7.18 MB
6. Classification Algorithms Logistic regression/5. Implementation in python Pre-processing.mp4 13.17 MB
6. Classification Algorithms Logistic regression/6. Implementation in python Training the model.mp4 7.83 MB
6. Classification Algorithms Logistic regression/7. Implementation in python Results prediction & Confusion matrix.mp4 13.46 MB
6. Classification Algorithms Logistic regression/8. Logistic Regression vs Linear Regression.mp4 10.76 MB
7. Clustering/1. Introduction to clustering.mp4 4.26 MB
7. Clustering/10. Importing the dataset.mp4 12.78 MB
7. Clustering/11. Visualizing the dataset.mp4 12.43 MB
7. Clustering/12. Defining the classifier.mp4 7.66 MB
7. Clustering/13. 3D Visualization of the clusters.mp4 7.82 MB
7. Clustering/14. 3D Visualization of the predicted values.mp4 12.84 MB
7. Clustering/15. Number of predicted clusters.mp4 9.49 MB
7. Clustering/2. Use cases.mp4 4.05 MB
7. Clustering/3. K-Means Clustering Algorithm.mp4 6.62 MB
7. Clustering/4. Elbow method.mp4 7.02 MB
7. Clustering/5. Steps of the Elbow method.mp4 5.84 MB
7. Clustering/6. Implementation in python.mp4 19 MB
7. Clustering/7. Hierarchical clustering.mp4 7.42 MB
7. Clustering/8. Density-based clustering.mp4 7.79 MB
7. Clustering/9. Implementation of k-means clustering in python.mp4 3.93 MB
8. Recommender System/1. Introduction.mp4 7.54 MB
8. Recommender System/10. Data pre-processing.mp4 10.76 MB
8. Recommender System/11. Sorting the most-rated movies.mp4 8.88 MB
8. Recommender System/12. Grabbing the ratings for two movies.mp4 5.47 MB
8. Recommender System/13. Correlation between the most-rated movies.mp4 13.29 MB
8. Recommender System/14. Sorting the data by correlation.mp4 6.14 MB
8. Recommender System/15. Filtering out movies.mp4 4.79 MB
8. Recommender System/16. Sorting values.mp4 6.84 MB
8. Recommender System/17. Repeating the process for another movie.mp4 12.66 MB
8. Recommender System/2. Collaborative Filtering in Recommender Systems.mp4 4.16 MB
8. Recommender System/3. Content-based Recommender System.mp4 4.88 MB
8. Recommender System/4. Implementation in python Importing libraries & datasets.mp4 10.26 MB
8. Recommender System/5. Merging datasets into one dataframe.mp4 4.19 MB
8. Recommender System/6. Sorting by title and rating.mp4 19.33 MB
8. Recommender System/7. Histogram showing number of ratings.mp4 5.67 MB
8. Recommender System/8. Frequency distribution.mp4 6.05 MB
8. Recommender System/9. Jointplot of the ratings and number of ratings.mp4 7.28 MB
9. Conclusion/1. Conclusion.mp4 2.8 MB
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