[FreeTutorials.Us] Udemy - machine-learning-course-with-python torrent, magnet, bt

Latest Search: 1.マグナム 2.凪ひかる++012 3.MegaPACK by 4.Mandy Bright 5.DIAmond

[FreeTutorials.Us] Udemy - machine-learning-course-with-python

magnet:?xt=urn:btih:03705FE20E1D0BCA7E1938D98089710EC067E809&dn=%5BFreeTutorials.Us%5D%20Udemy%20-%20machine-learning-course-with-python

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

03705FE20E1D0BCA7E1938D98089710EC067E809

Number of Files:

176

Content Size:

2.94GB

Convert On:

2020-06-23

Keywords:

FreeTutorials Us Udemy machine learning course with python

Magnet Link:

magnet:?xt=urn:btih:03705FE20E1D0BCA7E1938D98089710EC067E809&dn=%5BFreeTutorials.Us%5D%20Udemy%20-%20machine-learning-course-with-python

Link:

//btsow.motorcycles/magnet/detail/hash/03705FE20E1D0BCA7E1938D98089710EC067E809

Download

Play Now

File Name

Size

02 Getting Started with Anaconda/attached_files/008 Navigating the Spyder Jupyter Notebook Interface/0204.zip

42.29KB

02 Getting Started with Anaconda/attached_files/009 Downloading the IRIS Datasets/0205.zip

228.57KB

02 Getting Started with Anaconda/attached_files/010 Data Exploration and Analysis/0206.zip

44.72KB

02 Getting Started with Anaconda/attached_files/011 Presenting Your Data/0207.zip

1.05MB

03 Regression/attached_files/014 Working with Scikit-Learn/0303.zip

911.87KB

03 Regression/attached_files/015 Boston Housing Data - EDA/0304.zip

1.89MB

03 Regression/attached_files/016 Correlation Analysis and Feature Selection/0305.zip

2.13MB

03 Regression/attached_files/017 Simple Linear Regression Modelling with Boston Housing Data/0306.zip

2.57MB

03 Regression/attached_files/018 Robust Regression/0307.zip

2.75MB

03 Regression/attached_files/019 Evaluate Model Performance/0308.zip

2.98MB

03 Regression/attached_files/020 Multiple Regression with statsmodel/0309.zip

2.62MB

03 Regression/attached_files/021 Multiple Regression and Feature Importance/0310.zip

2.7MB

03 Regression/attached_files/022 Ordinary Least Square Regression and Gradient Descent/0311.zip

141.36KB

03 Regression/attached_files/023 Regularised Method for Regression/0312.zip

258.65KB

03 Regression/attached_files/024 Polynomial Regression/0313.zip

374.85KB

03 Regression/attached_files/025 Dealing with Non-linear relationships/0314.zip

180.73KB

03 Regression/attached_files/026 Feature Importance Revisited/0315.zip

225.86KB

03 Regression/attached_files/027 Data Pre-Processing 1/0316.zip

155.83KB

03 Regression/attached_files/028 Data Pre-Processing 2/0317.zip

156.89KB

03 Regression/attached_files/029 Variance Bias Trade Off - Validation Curve/0318.zip

528.12KB

03 Regression/attached_files/030 Variance Bias Trade Off - Learning Curve/0319.zip

716.5KB

03 Regression/attached_files/031 Cross Validation/0320.zip

94.74KB

04 Classification/attached_files/033 Logistic Regression 1/0403.zip

19.42KB

04 Classification/attached_files/034 Logistic Regression 2/0404.zip

20.07KB

04 Classification/attached_files/035 MNIST Project 1 - Introduction/0405.zip

565.83KB

04 Classification/attached_files/036 MNIST Project 2 - SGDClassifier/0406.zip

565.83KB

04 Classification/attached_files/037 MNIST Project 3 - Performance Measures/0407.zip

566.17KB

04 Classification/attached_files/038 MNIST Project 4 - Confusion Matrix Precision Recall and F1 Score/0408.zip

573.92KB

04 Classification/attached_files/039 MNIST Project 5 - Precision and Recall Tradeoff/0409.zip

630.15KB

04 Classification/attached_files/040 MNIST Project 6 - The ROC Curve/0410.zip

684.19KB

05 Support Vector Machine SVM/attached_files/043 Support Vector Machine SVM Concepts/0502.zip

218.57KB

05 Support Vector Machine SVM/attached_files/044 Linear SVM Classification/0503.zip

446.64KB

05 Support Vector Machine SVM/attached_files/045 Polynomial Kernel/0504.zip

491.12KB

05 Support Vector Machine SVM/attached_files/046 Gaussian Radial Basis Function/0505.zip

533.45KB

05 Support Vector Machine SVM/attached_files/047 Support Vector Regression/0506.zip

573.08KB

06 Tree/attached_files/050 What is Decision Tree/0602.zip

113.33KB

06 Tree/attached_files/051 Training a Decision Tree/0603.zip

113.71KB

06 Tree/attached_files/052 Visualising a Decision Trees/0604.zip

158.7KB

06 Tree/attached_files/053 Decision Tree Learning Algorithm/0605.zip

229.29KB

06 Tree/attached_files/054 Decision Tree Regression/0606.zip

277.9KB

06 Tree/attached_files/055 Overfitting and Grid Search/0607.zip

297.92KB

06 Tree/attached_files/056 Where to From Here/0608.zip

309.73KB

06 Tree/attached_files/057 Project HR - Loading and preprocesing data/0609.zip

63.35KB

06 Tree/attached_files/058 Project HR - Modelling/0610.zip

64.03KB

07 Ensemble Machine Learning/attached_files/060 Ensemble Learning Methods Introduction/0702.zip

2.22KB

07 Ensemble Machine Learning/attached_files/061 Bagging Part 1/0703.zip

7.64KB

07 Ensemble Machine Learning/attached_files/062 Bagging Part 2/0704.zip

8.08KB

07 Ensemble Machine Learning/attached_files/063 Random Forests/0705.zip

8.74KB

07 Ensemble Machine Learning/attached_files/064 Extra-Trees/0706.zip

9.1KB

07 Ensemble Machine Learning/attached_files/065 AdaBoost/0707.zip

8.83KB

07 Ensemble Machine Learning/attached_files/066 Gradient Boosting Machine/0708.zip

60.46KB

07 Ensemble Machine Learning/attached_files/067 XGBoost/0709.zip

2.94KB

07 Ensemble Machine Learning/attached_files/068 Project HR - Human Resources Analytics/0710.zip

126.73KB

07 Ensemble Machine Learning/attached_files/069 Ensemble of ensembles Part 1/0711.zip

3.66KB

07 Ensemble Machine Learning/attached_files/070 Ensemble of ensembles Part 2/0712.zip

5.35KB

08 k-Nearest Neighbours kNN/attached_files/072 kNN Concepts/0802.zip

1.52KB

08 k-Nearest Neighbours kNN/attached_files/073 kNN and Iris Dataset Demo/0803.zip

26.18KB

08 k-Nearest Neighbours kNN/attached_files/075 Project Cancer Detection Part 1/0805.zip

40.76KB

08 k-Nearest Neighbours kNN/attached_files/076 Project Cancer Detection Part 2/0806.zip

40.76KB

09 Dimensionality Reduction/attached_files/078 Dimensionality Reduction Concept/0902.zip

2.05KB

09 Dimensionality Reduction/attached_files/079 PCA Introduction/0903.zip

87.32KB

09 Dimensionality Reduction/attached_files/082 Project Abalone/09-Project-Abalone.zip

16.21KB

09 Dimensionality Reduction/attached_files/083 Project Wine 2 Choosing the Number of Components/0906.zip

106.05KB

09 Dimensionality Reduction/attached_files/084 Kernel PCA/0907.zip

108.17KB

09 Dimensionality Reduction/attached_files/085 Kernel PCA Demo/0908.zip

108.17KB

09 Dimensionality Reduction/attached_files/086 LDA Comparison between LDA and PCA/0909.zip

77.12KB

10 Unsupervised Learning Clustering/attached_files/088 Clustering Concepts/1002.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/089 MLextend/1003.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/090 Wards Agglomerative Hierarchical Clustering/1004.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/091 Truncating Dendrogram/1005.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/092 k-Means Clustering/1006.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/093 Elbow Method/1007.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/094 Silhouette Analysis/1008.zip

439.67KB

10 Unsupervised Learning Clustering/attached_files/095 Mean Shift/1009.zip

439.67KB

02 Getting Started with Anaconda/quizzes/001 Getting Started.html

10.88KB

03 Regression/quizzes/002 Machine Learning Basic Concepts.html

8.95KB

03 Regression/quizzes/003 Section 3.html

11.42KB

01 Introduction/001 What Does the Course Cover.mp4

9.88MB

01 Introduction/002 How to Succeed in This Course.html

2.02KB

01 Introduction/003 Project Files.html

1.9KB

02 Getting Started with Anaconda/004 Windows OS Downloading Installing Anaconda.mp4

64.36MB

02 Getting Started with Anaconda/005 Windows OS Managing Environment.mp4

18.82MB

02 Getting Started with Anaconda/006 Mac OS Intructions on Installing Anaconda and Managing Environment.html

516B

02 Getting Started with Anaconda/007 Practice Activity Create a New Environment.html

737B

02 Getting Started with Anaconda/008 Navigating the Spyder Jupyter Notebook Interface.mp4

41.35MB

02 Getting Started with Anaconda/009 Downloading the IRIS Datasets.mp4

10.49MB

02 Getting Started with Anaconda/010 Data Exploration and Analysis.mp4

34.79MB

02 Getting Started with Anaconda/011 Presenting Your Data.mp4

46.52MB

03 Regression/012 Introduction.mp4

11.72MB

03 Regression/013 Categories of Machine Learning.mp4

22.36MB

03 Regression/014 Working with Scikit-Learn.mp4

45.94MB

03 Regression/015 Boston Housing Data - EDA.mp4

61.46MB

03 Regression/016 Correlation Analysis and Feature Selection.mp4

22.58MB

03 Regression/017 Simple Linear Regression Modelling with Boston Housing Data.mp4

33.8MB

03 Regression/018 Robust Regression.mp4

33.46MB

03 Regression/019 Evaluate Model Performance.mp4

59.14MB

03 Regression/020 Multiple Regression with statsmodel.mp4

59.64MB

03 Regression/021 Multiple Regression and Feature Importance.mp4

44.66MB

03 Regression/022 Ordinary Least Square Regression and Gradient Descent.mp4

50.03MB

03 Regression/023 Regularised Method for Regression.mp4

47.81MB

03 Regression/024 Polynomial Regression.mp4

43.81MB

03 Regression/025 Dealing with Non-linear relationships.mp4

28.44MB

03 Regression/026 Feature Importance Revisited.mp4

26.18MB

03 Regression/027 Data Pre-Processing 1.mp4

34.92MB

03 Regression/028 Data Pre-Processing 2.mp4

49.58MB

03 Regression/029 Variance Bias Trade Off - Validation Curve.mp4

43.83MB

03 Regression/030 Variance Bias Trade Off - Learning Curve.mp4

42.45MB

03 Regression/031 Cross Validation.mp4

44.68MB

04 Classification/032 Introduction.mp4

7.91MB

04 Classification/033 Logistic Regression 1.mp4

26.93MB

04 Classification/034 Logistic Regression 2.mp4

41.75MB

04 Classification/035 MNIST Project 1 - Introduction.mp4

34.55MB

04 Classification/036 MNIST Project 2 - SGDClassifier.mp4

25.47MB

04 Classification/037 MNIST Project 3 - Performance Measures.mp4

26.4MB

04 Classification/038 MNIST Project 4 - Confusion Matrix Precision Recall and F1 Score.mp4

46.08MB

04 Classification/039 MNIST Project 5 - Precision and Recall Tradeoff.mp4

43.91MB

04 Classification/040 MNIST Project 6 - The ROC Curve.mp4

33.78MB

04 Classification/041 MNIST Exercise.html

826B

05 Support Vector Machine SVM/042 Introduction.mp4

4.72MB

05 Support Vector Machine SVM/043 Support Vector Machine SVM Concepts.mp4

51.8MB

05 Support Vector Machine SVM/044 Linear SVM Classification.mp4

31.57MB

05 Support Vector Machine SVM/045 Polynomial Kernel.mp4

50.31MB

05 Support Vector Machine SVM/046 Gaussian Radial Basis Function.mp4

44.8MB

05 Support Vector Machine SVM/047 Support Vector Regression.mp4

17.39MB

05 Support Vector Machine SVM/048 Advantages and Disadvantages of SVM.mp4

13.11MB

06 Tree/049 Introduction.mp4

5.58MB

06 Tree/050 What is Decision Tree.mp4

34.07MB

06 Tree/051 Training a Decision Tree.mp4

16.59MB

06 Tree/052 Visualising a Decision Trees.mp4

55.25MB

06 Tree/053 Decision Tree Learning Algorithm.mp4

36.97MB

06 Tree/054 Decision Tree Regression.mp4

33.8MB

06 Tree/055 Overfitting and Grid Search.mp4

54.43MB

06 Tree/056 Where to From Here.mp4

11.62MB

06 Tree/057 Project HR - Loading and preprocesing data.mp4

56.76MB

06 Tree/058 Project HR - Modelling.mp4

16.5MB

07 Ensemble Machine Learning/059 Introduction.mp4

5.22MB

07 Ensemble Machine Learning/060 Ensemble Learning Methods Introduction.mp4

27.68MB

07 Ensemble Machine Learning/061 Bagging Part 1.mp4

55.47MB

07 Ensemble Machine Learning/062 Bagging Part 2.mp4

37.31MB

07 Ensemble Machine Learning/063 Random Forests.mp4

43.11MB

07 Ensemble Machine Learning/064 Extra-Trees.mp4

21.58MB

07 Ensemble Machine Learning/065 AdaBoost.mp4

39.82MB

07 Ensemble Machine Learning/066 Gradient Boosting Machine.mp4

44.87MB

07 Ensemble Machine Learning/067 XGBoost.mp4

51.35MB

07 Ensemble Machine Learning/068 Project HR - Human Resources Analytics.mp4

88.16MB

07 Ensemble Machine Learning/069 Ensemble of ensembles Part 1.mp4

52.03MB

07 Ensemble Machine Learning/070 Ensemble of ensembles Part 2.mp4

44.89MB

08 k-Nearest Neighbours kNN/071 kNN Introduction.mp4

4.37MB

08 k-Nearest Neighbours kNN/072 kNN Concepts.mp4

15MB

08 k-Nearest Neighbours kNN/073 kNN and Iris Dataset Demo.mp4

20.75MB

08 k-Nearest Neighbours kNN/074 Distance Metric.mp4

13.08MB

08 k-Nearest Neighbours kNN/075 Project Cancer Detection Part 1.mp4

49.4MB

08 k-Nearest Neighbours kNN/076 Project Cancer Detection Part 2.mp4

48.64MB

09 Dimensionality Reduction/077 Introduction.mp4

3.63MB

09 Dimensionality Reduction/078 Dimensionality Reduction Concept.mp4

25.73MB

09 Dimensionality Reduction/079 PCA Introduction.mp4

42.24MB

09 Dimensionality Reduction/080 Dimensionality Reduction Demo.mp4

14.64MB

09 Dimensionality Reduction/081 Project Wine 1 Dimensionality Reduction with PCA.mp4

46.11MB

09 Dimensionality Reduction/082 Project Abalone.html

458B

09 Dimensionality Reduction/083 Project Wine 2 Choosing the Number of Components.mp4

18.79MB

09 Dimensionality Reduction/084 Kernel PCA.mp4

35.84MB

09 Dimensionality Reduction/085 Kernel PCA Demo.mp4

16.01MB

09 Dimensionality Reduction/086 LDA Comparison between LDA and PCA.mp4

16.9MB

10 Unsupervised Learning Clustering/087 Introduction.mp4

4.03MB

10 Unsupervised Learning Clustering/088 Clustering Concepts.mp4

17.47MB

10 Unsupervised Learning Clustering/089 MLextend.mp4

22.58MB

10 Unsupervised Learning Clustering/090 Wards Agglomerative Hierarchical Clustering.mp4

44.12MB

10 Unsupervised Learning Clustering/091 Truncating Dendrogram.mp4

56.42MB

10 Unsupervised Learning Clustering/092 k-Means Clustering.mp4

36.59MB

10 Unsupervised Learning Clustering/093 Elbow Method.mp4

15.76MB

10 Unsupervised Learning Clustering/094 Silhouette Analysis.mp4

16.5MB

10 Unsupervised Learning Clustering/095 Mean Shift.mp4

25.68MB

[Discuss.FreeTutorials.Us].url

252B

[FreeCoursesOnline.Us].url

123B

[FreeTutorials.Us].url

119B

Use VLC Player for Subtitles.url

115B

Latest Search:

1.マグナム 2.凪ひかる++012 3.MegaPACK by 4.Mandy Bright 5.DIAmond 6.anal drink 7.MKMP060 8.box01 9.dldss382 10.NN2 11.and286 12.Yome 13.Sexy Vanessa B 14.RAPD-001 15.idg5541 16.gvrd 17.D1B2E2A2 18.jfyg-065 19.ipzz-261 20.Artacan 21.2160p 22.Ghosts US S03 23.April O Neil 24.0FE834B6 25.sofia mina 26.midv185 27.MKMP057 28. 1부 29.hnd789 30.The.Shield