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【影视】 2021 Python for Data Science & Machine Learning from A-Z

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[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/7. PCA - Image Compression.mp4 262.1 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/16. Ensemble Learning and Random Forests/6. Implementing Random Forests from scratch Part 1.mp4 212.4 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/7. ID3 - Putting Everything Together.mp4 191.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/14. K Nearest Neighbors/3. EDA on Iris Dataset.mp4 169.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/3. What is Entropy and Information Gain.mp4 142.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/9. PCA - Biplot and the Screen Plot.mp4 142.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/6. How To Get a Data Science Job.mp4 137.6 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/1. Introduction/5. What is a Data Scientist.mp4 133.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/6. SVM - Kernel Types.mp4 132.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/2. EDA on Adult Dataset.mp4 129.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/8. Evaluating our ID3 implementation.mp4 127.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/19. PCA/8. PCA Data Preprocessing.mp4 126.3 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/15. Decision Trees/13. Pruning.mp4 118.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/8. SVM with Non-linear Dataset.mp4 117.0 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/13. Linear and Logistic Regression/3. Linear Regression + Correlation Methods.mp4 115.7 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/3. Representing Clusters.mp4 114.9 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/3. Python For Data Science/15. Python Dictionaries.mp4 109.2 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/17. Support Vector Machines/7. SVM with Linear Dataset (Iris).mp4 106.5 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/18. K-means/1. Unsupervised Machine Learning Intro.mp4 105.8 MB
[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z/9. Machine Learning/1. Introduction To Machine Learning.mp4 103.5 MB

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【影视】 [FTUForum.com] [UDEMY] Python Machine Learning Basics Shallow Learning Algorithms [FTU]

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2. Machine Learning Framework/4. MI Python skeleton.mp4 61.5 MB
3. SVD/1. SVD implementation.mp4 55.6 MB
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4. KNN/1. KNN implementation.mp4 39.5 MB
3. SVD/2. SVD Theory.mp4 38.8 MB
5. Going Live/1. Display KNN neighbors.mp4 33.2 MB
1. Introduction/1. What is Machine Learning.mp4 30.1 MB
4. KNN/2. Knn theory.mp4 23.7 MB
5. Going Live/2. Display SVD Item Predictions.mp4 23.7 MB
2. Machine Learning Framework/2. Evaluation.mp4 22.6 MB
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1. Introduction/2. Shallow vs Deep learning.mp4 13.9 MB
1. Introduction/3. Theory vs Practice.mp4 12.0 MB
2. Machine Learning Framework/3. Install Python 3.5+.mp4 7.7 MB
2. Machine Learning Framework/4. MI Python skeleton.vtt 9.1 kB
2. Machine Learning Framework/2. Evaluation.vtt 8.1 kB
3. SVD/1. SVD implementation.vtt 7.0 kB
5. Going Live/3. Surpriselib and Flask.vtt 6.3 kB
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【影视】 Machine Learning Basics Practical Linear Regression in R

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[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/6. GLM Preview Logistic Regression Model & Accuracy Assessment.mp4 86.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/1. Lab Multiple linear regression - model estimation in R.mp4 63.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/5. ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/2. Lab your first linear regression model.mp4 55.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/2. Introduction to Regression Analysis and Linear Regression.mp4 51.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/4. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/3. Lab Multiple linear regression with interaction in R.mp4 46.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/5. Linear Regression Diagnostics.mp4 45.3 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/8. Lab Receiver operating characteristic (ROC) curve and AUC.mp4 38.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/9. Prediction model evaluation with data split out-of-sample RMSE.mp4 32.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/4. Lab Regression with Categorical Variables Dummy Coding Essentials in R.mp4 31.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/8. Lab Predict with linear regression model & RMSE as in-sample error.mp4 25.5 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/4. More types of linear regression models in R/2. Lab Multiple linear regression - prediction in R.mp4 19.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/1. Introduction/1. Introduction.mp4 18.1 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/1. Getting started with linear regression.mp4 16.9 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/3. Correlation in Regression Analysis in R Lab.mp4 13.7 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/2. Software used in this course R-Studio and Introduction to R/1. What is R and RStudio.mp4 12.8 MB
[TutsNode.com] - Machine Learning Basics Practical Linear Regression in R/3. Linear Regression in R/4. How to know if the model is best fit for your data - An overview.mp4 9.6 MB

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【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

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7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

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【影视】 [DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.vtt 82.5 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB