- 【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python
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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
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3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB
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3. Plotly Basics/2. Scatter Plots.mp4 126.8 MB
7. Interactive Components/2. Dash Callbacks for Graphs.mp4 123.6 MB
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6. DashBoard Components/3. Core Components.mp4 102.3 MB
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2. Introduction to Data Basics/3. Pandas Crash Course.mp4 88.4 MB
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3. Plotly Basics/7. Bar Charts.mp4 86.9 MB
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- 【影视】 [FreeCoursesOnline.Me] [TechnicsPub] Machine Learning Series The XGBoost Algorithm in Python [FCO]
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- 【影视】 [ DevCourseWeb.com ] Udemy - Numpy - The ultimate course on python numpy for data analytics
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- 【影视】 [CourseClub.NET] Coursera - Applied Machine Learning in Python
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003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4 48.3 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
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002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 41.9 MB
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002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4 39.7 MB
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004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4 34.5 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
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07 Transforming the data to prepare it for modeling/002 Log transforming data to take care of skewed distributions.mp4 64.0 MB
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01 Welcome, information about this course/001 Introduction.mp4 5.0 MB
09 Conclusion/001 Thank you.mp4 3.3 MB
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~Get Your Files Here !/1. Introduction/1. Introduction.mp4 116.3 MB
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~Get Your Files Here !/7. Adding the Data/2. Displaying Data on the Map.mp4 72.9 MB
~Get Your Files Here !/5. Writing the GeoDjango Back-end Code/5. Creating the GeoAdmin and Testing the Spatial Back-end.mp4 65.0 MB
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~Get Your Files Here !/6. Building the Front-End using Leaflet.js/6. Creating the Index View.mp4 47.3 MB
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~Get Your Files Here !/7. Adding the Data/4. Creating the Bar Chart Legend.mp4 36.7 MB
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~Get Your Files Here !/4. Building a GeoDjango Application/1. Creating a Python Virtual Environment.mp4 28.6 MB
~Get Your Files Here !/6. Building the Front-End using Leaflet.js/1. Adding the Leaflet Config Code.mp4 27.3 MB
~Get Your Files Here !/6. Building the Front-End using Leaflet.js/5. Creating the Index Page.mp4 25.3 MB
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