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【影视】 [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
5. Recommender Systems/3. [Activity] Finding Movie Similarities using Cosine Similarity.mp4 113.1 MB

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【影视】 [Udemy] Data Science на Python 3 с нуля [YouRa Allakhverdov]

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04 Функции Python/031 Создание функций в Python.mp4 204.7 MB
03 Основы Python/014 Форматирование строк в Python.mp4 203.0 MB
04 Функции Python/032 _args & __kwargs.mp4 187.2 MB
04 Функции Python/033 Лямбда выражения в функциях.mp4 163.9 MB
03 Основы Python/011 Строки в Python.mp4 158.5 MB
03 Основы Python/023 Цикл for.mp4 154.7 MB
03 Основы Python/010 Переменные в Python.mp4 147.7 MB
06 Анализ данных. Библиотека NumPy/037 NumPy массивы.mp4 142.4 MB
07 Анализ данных. Библиотека Pandas/051 Input_Output.mp4 139.3 MB
04 Функции Python/034 Область видимости (scope) переменных.mp4 135.3 MB
03 Основы Python/013 Свойства и методы строк.mp4 133.0 MB
03 Основы Python/022 Условный оператор if elif else.mp4 129.5 MB
03 Основы Python/015 Lists в Python.mp4 124.0 MB
03 Основы Python/025 Некоторые часто используемые функции и операторы.mp4 121.9 MB
03 Основы Python/024 Цикл while.mp4 115.4 MB
03 Основы Python/012 Строки. Indexing & Slicing.mp4 113.5 MB
03 Основы Python/016 Dictionaries в Python.mp4 111.1 MB
02 Установка инструментов/006 Установка IntelliJ IDEA. MacOs.mp4 109.1 MB
03 Основы Python/027 Dictionary Comprehension & Set Comprehension.mp4 107.9 MB
03 Основы Python/007 Hello world!.mp4 107.7 MB

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【影视】 [FreeTutorials.Eu] Udemy - Python 3 Deep Dive (Part 1)

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1. Introduction/1. Course Overview.mp4 292.8 MB
4. Numeric Types/11. Floats Equality Testing - Coding.mp4 249.4 MB
7. Scopes, Closures and Decorators/6. Closures - Lecture.mp4 199.6 MB
7. Scopes, Closures and Decorators/2. Global and Local Scopes - Lecture.mp4 175.3 MB
4. Numeric Types/4. Integers Constructors and Bases - Lecture.mp4 143.0 MB
8. Tuples as Data Structures and Named Tuples/4. Named Tuples - Lecture.mp4 141.4 MB
8. Tuples as Data Structures and Named Tuples/5. Named Tuples - Coding.mp4 134.1 MB
6. First-Class Functions/13. Reducing Functions - Lecture.mp4 131.7 MB
7. Scopes, Closures and Decorators/12. Decorator Application (Timer).mp4 131.6 MB
7. Scopes, Closures and Decorators/20. Decorator Application (Dispatching) - Part 2.mp4 129.2 MB
4. Numeric Types/14. Floats Rounding - Lecture.mp4 128.1 MB
7. Scopes, Closures and Decorators/7. Closures - Coding.mp4 117.8 MB
7. Scopes, Closures and Decorators/19. Decorator Application (Dispatching) - Part 1.mp4 116.4 MB
6. First-Class Functions/18. The operator Module - Coding.mp4 114.3 MB
6. First-Class Functions/11. Map, Filter, Zip and List Comprehensions - Lecture.mp4 111.3 MB
7. Scopes, Closures and Decorators/10. Decorators (Part 1) - Lecture.mp4 110.6 MB
7. Scopes, Closures and Decorators/4. Nonlocal Scopes - Lecture.mp4 110.3 MB
3. Variables and Memory/4. Garbage Collection.mp4 109.6 MB
8. Tuples as Data Structures and Named Tuples/11. Named Tuples - Application - Alternative to Dictionaries.mp4 109.3 MB
7. Scopes, Closures and Decorators/21. Decorator Application (Dispatching) - Part 3.mp4 108.2 MB

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【影视】 [Udemy] Разработка Backend (API) с Python от А до Я (2020) [En]

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06 Playing with data/027 Connecting endpoints to database.mp4 467.3 MB
05 Best Practices and Rules/020 Authentication.mp4 399.2 MB
07 Testing/030 Testing endpoints.mp4 353.8 MB
07 Testing/032 Deploying API to production environment.mp4 301.6 MB
07 Testing/031 Load testing.mp4 283.1 MB
05 Best Practices and Rules/023 Documentation - Swagger.mp4 282.9 MB
06 Playing with data/026 ORM vs Pure SQL.mp4 252.7 MB
08 Advance Topics/035 Reverse Proxy.mp4 232.8 MB
07 Testing/033 Load Balancers.mp4 221.6 MB
05 Best Practices and Rules/017 Creating enpoints.mp4 217.9 MB
06 Playing with data/029 Cache with Redis.mp4 192.7 MB
08 Advance Topics/037 Auth 2.0.mp4 187.5 MB
09 Final/038 Final cut.mp4 126.9 MB
05 Best Practices and Rules/018 Endpoints - Advance Cases.mp4 123.0 MB
06 Playing with data/025 Creating PostgreSQL database with docker.mp4 113.2 MB
05 Best Practices and Rules/022 Middleware.mp4 107.5 MB
08 Advance Topics/036 HTTPS.mp4 94.6 MB
06 Playing with data/024 Production Environement & Installments.mp4 90.6 MB
09 Final/039 Backend Architecture.mp4 67.2 MB
05 Best Practices and Rules/021 Recap Authentication.mp4 65.1 MB

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【影视】 [Михаил Корнеев] Курс программирования на Python 3.6 (2019)

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4/созвон/GMT20190601-080013_Learn-Pyth_1920x946.mp4 822.6 MB
2/Созвон/GMT20190518-080959_----------_1920x1050.mp4 529.8 MB
6/СОЗВОН/GMT20190615-082212_Learn-Pyth_1920x942.mp4 376.6 MB
8/созвон/GMT20190629-081444_Learn-Pyth_640x360.mp4 135.7 MB
3/1. virtualenv/virtualenv.mp4 108.1 MB
4/веб-разработка/5. Собираем новости с веб-сайта при помощи BeautifulSoup.mp4 107.9 MB
5/Анализ данных/2. Сводные таблицы в Pandas.mp4 103.2 MB
4/анализ данных/3. Решаем задачу с остановками при помощи Pandas.mp4 97.0 MB
9/Боты/Клавиатура для текстовых сообщений.mp4 92.5 MB
8/Боты/6. Управление подпиской чрез базу данных.mp4 84.2 MB
5/Боты/1. Распознавание изображений через сервис clarifai.mp4 81.4 MB
3/Созвон/GMT20190525-074918_Learn-Pyth_1680x946.mp4 79.3 MB
3/Трек Data-Science/3. Практическая задача - подсчет остановок/Практическая задача_ подсчет остановок.mp4 77.5 MB
2/3. Уметь обрабатывать исключения, чтобы программа не падала/Исключения.mp4 77.3 MB
9/Веб-разработка/4. Страницы статей на сайте.mp4 76.8 MB
2/Созвон/GMT20190518-080959_----------.m4a 75.9 MB
1/3. Простые типы данных/Простые типы данных.mp4 75.2 MB
3/4. csv/4. csv.mp4 72.5 MB
4/Командная работа в git/Командная работа в git.mp4 69.6 MB
5/Боты/2. Работа с картинками от пользователей.mp4 68.7 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/5. Updates on Udemy Reviews.mp4 55.5 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 45.4 MB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 45.2 MB

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Monty.Python.Sacre.Graal.1974.MULTI.BRRip.x264.AC3-HuSh.mkv 1.5 GB
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【影视】 Complete Python 3 Programming Bootcamp Beginner to Advanced

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Complete Python 3 Programming Bootcamp Beginner to Advanced/14. Working with Databases in Python/1. Introduction to Databases and Creating SQLite Database.mp4 191.9 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/9. Python Modules and Packages/3. Making Your Own Modules.mp4 162.3 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/8. Dealing with Errors and Exception Handling/2. Exception Handling Try - Except Statements.mp4 157.7 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/9. Python Modules and Packages/4. Coding Exercise Guess The Number Game.mp4 147.9 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/4. Python OOP Methods (Part 1 Regular Methods).mp4 144.0 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/10. Python Files IO (File Handling in Python)/6. How to Modify the Files.mp4 137.7 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/6. Python OOP Understanding Inheritance.mp4 135.7 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/8. Python Special (MagicDunder) Methods.mp4 135.6 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/10. Python Files IO (File Handling in Python)/3. How to Read Files in Python.mp4 135.5 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/7. Python OOP Inheritance and Overriding.mp4 132.8 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/13. Python Advanced Data Structures/4. Advanced Lists.mp4 131.1 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/13. Python Advanced Data Structures/1. Advanced Numbers.mp4 128.7 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/9. Python Modules and Packages/2. How to Import and Use the Modules in Python.mp4 126.2 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/5. Python OOP Methods (Part 2 Classmethods & Staticmethods).mp4 120.6 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/6. Loops - The ease of programming!/8. List Comprehension in Python.mp4 116.7 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/10. Python Files IO (File Handling in Python)/2. How to Write to Files Using Python.mp4 111.9 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/11. Object-Oriented Programming (OOP) in Python 3/3. Python Classes and Objects (Part 2).mp4 106.1 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/10. Python Files IO (File Handling in Python)/4. Python File Methods.mp4 105.2 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/7. Python Functions - The Power of Programming!/4. The Return Statement.mp4 104.4 MB
Complete Python 3 Programming Bootcamp Beginner to Advanced/7. Python Functions - The Power of Programming!/5. Function Parameter Types in Python - (Part 1).mp4 99.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Complete Python Programming Masterclass Beginner to Advanced

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3. Variables and Types/5. String Methods.mp4 166.4 MB
3. Variables and Types/7. Python Casting Data Types.mp4 143.1 MB
5. Python Collections/8. Python Set Data Type.mp4 133.5 MB
14. Python Object Oriented Programming (OOP)/3. Class __init__ function.mp4 122.8 MB
5. Python Collections/10. Python Dictionary Data Type.mp4 120.2 MB
1. Course Introduction/2. Course Overview.mp4 117.9 MB
11. Project # 2 -- Python and .CSV Files/6. Solution Step #4 -- Write to .CSV Files.mp4 115.5 MB
9. Project #1 -- Python Magic 8 Ball Game/3. Solution Step #1 -- Setting up the Magic 8 Ball Responses.mp4 115.3 MB
10. Working with Files/4. Writing to a Text File with Python.mp4 115.1 MB
5. Python Collections/9. Set Methods.mp4 114.1 MB
9. Project #1 -- Python Magic 8 Ball Game/4. Solution Step #2 -- Capture User Question Input and Respond.mp4 109.1 MB
13. Python Functions/7. Return Keyword.mp4 109.0 MB
5. Python Collections/7. List Type vs Tuple Type.mp4 104.9 MB
12. Python OS Module/7. Deleting a File with Python.mp4 103.7 MB
6. Python Shell and IDLE/4. Python Whitespace.mp4 103.1 MB
8. Python Program Flow/7. break Keyword.mp4 103.0 MB
14. Python Object Oriented Programming (OOP)/8. Python Class Private Functions.mp4 102.9 MB
10. Working with Files/1. Opening Text Files with Python.mp4 102.8 MB
11. Project # 2 -- Python and .CSV Files/1. Project #2 Preview.mp4 98.4 MB
5. Python Collections/2. List Constructor.mp4 96.0 MB

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Swamp.People.S10E15.Voodoo.Python.720p.HDTV.x264-CRiMSON.mkv 1.2 GB
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【影视】 [FreeTutorials.Us] deep-reinforcement-learning-in-python

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07 Appendix/044 Environment Setup.mp4 46.0 MB
07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
04 TD Lambda/026 TD Lambda.mp4 12.3 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning Classification Bootcamp in Python

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4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB

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【影视】 [FreeCourseSite.com] Udemy - Credit Risk Modeling in Python 2021

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13. Calculating expected loss/1. Calculating expected loss.mp4 132.9 MB
5. PD Model Data Preparation/25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).mp4 117.2 MB
9. PD model monitoring/3. Population stability index preprocessing.mp4 110.4 MB
1. Introduction/10. Different facility types (asset classes) and credit risk modeling approaches.mp4 109.5 MB
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