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【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

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26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
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27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
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37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
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【影视】 [UdemyCourseDownloader] Data Science, Deep Learning, & Machine Learning with Python

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08 Apache Spark_ Machine Learning on Big Data/061 [Activity] Decision Trees in Spark.mp4 92.5 MB
08 Apache Spark_ Machine Learning on Big Data/057 [Activity] Installing Spark - Part 2.mp4 90.0 MB
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08 Apache Spark_ Machine Learning on Big Data/062 [Activity] K-Means Clustering in Spark.mp4 65.9 MB
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03 Predictive Models/022 [Activity] Multivariate Regression_ and Predicting Car Prices.mp4 52.4 MB
02 Statistics and Probability Refresher_ and Python Practise/016 [Activity] Covariance and Correlation.mp4 52.2 MB
02 Statistics and Probability Refresher_ and Python Practise/017 [Exercise] Conditional Probability.mp4 52.0 MB
02 Statistics and Probability Refresher_ and Python Practise/015 [Activity] A Crash Course in matplotlib.mp4 51.7 MB
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【影视】 [DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

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04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
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【影视】 [UdemyCourseDownloader] Regression Analysis for Statistics & Machine Learning in R

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1. Get Started with Practical Regression Analysis in R/8. Basic Exploratory Data Analysis in R.mp4 50.6 MB
1. Get Started with Practical Regression Analysis in R/5. Reading in Data with R.mp4 44.7 MB
1. Get Started with Practical Regression Analysis in R/6. Data Cleaning with R.mp4 42.5 MB
6. Generalized Linear Models(GLMs)/2. Logistic regression.mp4 41.0 MB
7. Working with Non-Parametric and Non-Linear Data/3. Generalized Additive Models (GAMs) in R.mp4 40.4 MB
3. Deal with Multicollinearity in OLS Regression Models/1. Identify Multicollinearity.mp4 40.0 MB
2. Ordinary Least Square Regression Modelling/10. Multiple Linear regression with Interaction and Dummy Variables.mp4 39.4 MB
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4. Variable & Model Selection/2. Select the Most Suitable OLS Regression Model.mp4 34.9 MB
2. Ordinary Least Square Regression Modelling/11. Some Basic Conditions that OLS Models Have to Fulfill.mp4 32.0 MB
5. Dealing With Other Violations of the OLS Regression Models/1. Data Transformations.mp4 30.4 MB
7. Working with Non-Parametric and Non-Linear Data/9. Random Forest(RF).mp4 29.6 MB
6. Generalized Linear Models(GLMs)/3. Logistic Regression for Binary Response Variable.mp4 27.6 MB
3. Deal with Multicollinearity in OLS Regression Models/3. Principal Component Regression in R.mp4 26.7 MB
7. Working with Non-Parametric and Non-Linear Data/7. CART-Regression Trees in R.mp4 26.4 MB
2. Ordinary Least Square Regression Modelling/1. OLS Regression- Theory.mp4 26.1 MB
7. Working with Non-Parametric and Non-Linear Data/2. Polynomial and Non-linear regression.mp4 25.4 MB
1. Get Started with Practical Regression Analysis in R/7. Some More Data Cleaning with R.mp4 24.0 MB
4. Variable & Model Selection/7. Identify the Contribution of Predictors in Explaining the Variation in Y.mp4 23.0 MB
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01-introduction-to-data-structures-and-important-concepts/001-what-are-data-structures-and-why-are-they-important.mp4 28.5 MB
01-introduction-to-data-structures-and-important-concepts/002-constructor-functions-and-the-this-keyword.mp4 19.5 MB
02-linked-lists/017-big-o-notation-and-calculating-the-runtime-of-a-function.mp4 18.6 MB
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03-binary-search-trees/028-depth-first-traversal-inorder.mp4 16.1 MB
02-linked-lists/013-search-method.mp4 14.7 MB
03-binary-search-trees/035-breadth-first-traversal-part-2.mp4 14.6 MB
02-linked-lists/007-add-to-head-part-2.mp4 14.2 MB
02-linked-lists/005-linked-list-and-node-constructor-functions.mp4 14.1 MB
04-hash-tables/047-refactoring-insert-method.mp4 13.5 MB
04-hash-tables/052-hash-table-exercise-review.mp4 13.5 MB
03-binary-search-trees/021-what-is-a-binary-search-tree.mp4 12.9 MB
04-hash-tables/045-insert-method.mp4 12.8 MB
04-hash-tables/049-get-method.mp4 12.8 MB
01-introduction-to-data-structures-and-important-concepts/003-the-prototype-object.mp4 12.6 MB
02-linked-lists/011-remove-head.mp4 12.4 MB
02-linked-lists/008-using-add-to-head.mp4 12.3 MB
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【影视】 [ FreeCourseWeb.com ] Udemy - Enticing random Pearls of Machine Learning-The gist of 21-22

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【影视】 Lynda – Learning V-Ray for Maya A Professional Reference Guide

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04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 471.0 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 468.5 MB
12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 453.3 MB
12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 300.2 MB
12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 294.2 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB

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【影视】 Skillshare - Machine Learning on AWS SageMaker for Beginners

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38-lab_25___accessing_pca_model_attributes.mkv 66.1 MB
29-lab_017___exploratory_data_analysis.mkv 65.1 MB
35-lab_22___problem_statement_and_data_import.mkv 65.1 MB
04-003_cloud_computing_services.mkv 57.9 MB
31-lab_018b_univariate_and_multivariate_analysis.mkv 55.3 MB
28-lab__016___problem_statement_and_data_import.mkv 54.9 MB
23-lab_11b___data_cleaning___part___ii.mkv 50.6 MB
36-lab_23___exploratory_data_analysis.mkv 49.5 MB
41-lab_28__accessing_k_means_model_attributes.mkv 48.8 MB
15-lab_003___create_a_notebook_instance.mkv 43.3 MB
22-lab_11a___data_cleaning_part___i.mkv 41.5 MB
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25-lab_13___training_model_in_sagemaker.mkv 38.7 MB
21-lab_10___exploratory_data_analysis.mkv 37.3 MB
39-lab_26___model_deployment_and_conclusion_analysis.mkv 36.6 MB
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【影视】 LinkedIn Learning - UX Design 5 Creating Scenarios and Storyboards

收录时间:2022-02-03 文档个数:24 文档大小:129.1 MB 最近下载:2025-05-15 人气:1382 磁力链接

[3] 2. Creating Scenarios/[2] Writing scenarios.mp4 28.1 MB
[1] Introduction/[1] Welcome.mp4 25.4 MB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[2] Where these techniques fit in the UCD process.mp4 14.7 MB
[4] 3. Storyboards to Visualize Scenarios/[2] Storyboard creation.mp4 11.9 MB
[5] Conclusion/[1] Next steps Prototyping.mp4 10.6 MB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[3] The benefits of scenarios and storyboards.mp4 10.2 MB
[3] 2. Creating Scenarios/[3] Tips for good scenarios.mp4 7.9 MB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[1] What are the uses of scenarios and storyboards.mp4 6.4 MB
[3] 2. Creating Scenarios/[1] Prerequisites for scenario creation.mp4 5.7 MB
[4] 3. Storyboards to Visualize Scenarios/[3] Tips for good storyboards.mp4 4.4 MB
[4] 3. Storyboards to Visualize Scenarios/[1] From scenario to storyboard.mp4 3.6 MB
logo.jpg 73.8 kB
[3] 2. Creating Scenarios/[2] Writing scenarios.srt 6.4 kB
[4] 3. Storyboards to Visualize Scenarios/[3] Tips for good storyboards.srt 4.5 kB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[2] Where these techniques fit in the UCD process.srt 4.4 kB
[4] 3. Storyboards to Visualize Scenarios/[2] Storyboard creation.srt 4.2 kB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[3] The benefits of scenarios and storyboards.srt 3.5 kB
[3] 2. Creating Scenarios/[3] Tips for good scenarios.srt 3.1 kB
[4] 3. Storyboards to Visualize Scenarios/[1] From scenario to storyboard.srt 3.0 kB
[2] 1. Scenarios and Storyboards in the User-Centered (UCD) Process/[1] What are the uses of scenarios and storyboards.srt 2.8 kB

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【影视】 linuxtrainingacademy.com - Linux Shell Scripting. A Project-Based Approach to Learning [2019-10]

收录时间:2021-03-22 文档个数:98 文档大小:1.9 GB 最近下载:2025-05-15 人气:5756 磁力链接

3. User and Account Creation - Shell Scripting Project 1/2. Getting Started with Shell Scripting Naming, Permissions, Variables, Builtins..mp4 225.2 MB
5. Linux Programming Conventions - Shell Scripting Project 3/2. Advanced Standard Input, Standard Output, and Standard Error - Part II.mp4 221.4 MB
7. Transforming Data Data Processing Reporting – Shell Scripting Project 5/6. Sed.mp4 181.1 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/1. Random Data, Cryptographic Hash Functions, Text and String Manipulation..mp4 85.9 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/2. Positional Parameters, Arguments, for Loops, Special Parameters.mp4 76.4 MB
6. Parsing Command Line Options – Shell Scripting Project 4/10. Deleting Users – Exercise 5 – Walkthrough.mp4 76.0 MB
8. Network Scripting & Automation of Distributed Systems Shell Scripting Project 6/1. Configuring a Mini Network and Scripting for Remote Systems.mp4 73.5 MB
8. Network Scripting & Automation of Distributed Systems Shell Scripting Project 6/3. Scripting Remote Commands – Walkthrough – Part 1.mp4 63.1 MB
2. Creating a Local Linux Shell Scripting Environment/6. Exercise 1 – Walkthrough – Part II – All Users.mp4 60.4 MB
3. User and Account Creation - Shell Scripting Project 1/5. Reading Standard Input, Creating Accounts, Username Conventions, More Quoting..mp4 53.3 MB
3. User and Account Creation - Shell Scripting Project 1/3. Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals..mp4 52.7 MB
3. User and Account Creation - Shell Scripting Project 1/7. Exercise 2 - Walkthrough.mp4 52.0 MB
6. Parsing Command Line Options – Shell Scripting Project 4/2. Functions.mp4 51.8 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/5. Exercise 3 - Walkthrough.mp4 47.0 MB
6. Parsing Command Line Options – Shell Scripting Project 4/1. Case Statements.mp4 46.2 MB
3. User and Account Creation - Shell Scripting Project 1/4. Exit Statuses, Return Codes, String Test Conditionals, More Special Variables..mp4 39.7 MB
4. Password Generation and Shell Script Arguments - Shell Scripting Project 2/3. The while Loop, Infinite Loops, Shifting, Sleeping.mp4 33.8 MB
6. Parsing Command Line Options – Shell Scripting Project 4/7. Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar).mp4 33.6 MB
7. Transforming Data Data Processing Reporting – Shell Scripting Project 5/1. Cut and Awk.mp4 31.8 MB
6. Parsing Command Line Options – Shell Scripting Project 4/3. Parsing Command Line Options with getopts, Part 1.mp4 31.6 MB

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【影视】 Lynda Learning SVG

收录时间:2018-08-28 文档个数:164 文档大小:350.2 MB 最近下载:2025-05-15 人气:3828 磁力链接

6. 5. Practical SVG/35. Clean SVG files for web publishing.mp4 25.4 MB
1. Introduction/01. Welcome.mp4 6.2 MB
1. Introduction/02. Using the exercise files.en.srt 1.5 kB
1. Introduction/02. Using the exercise files.mp4 2.0 MB
1. Introduction/03. What this course is, and is not.en.srt 2.3 kB
1. Introduction/03. What this course is, and is not.mp4 1.7 MB
2. 1. SVG - Core Principles/04. What is SVG.en.srt 5.0 kB
2. 1. SVG - Core Principles/04. What is SVG.mp4 4.1 MB
2. 1. SVG - Core Principles/05. SVG as graphics.en.srt 10.5 kB
2. 1. SVG - Core Principles/05. SVG as graphics.mp4 12.2 MB
2. 1. SVG - Core Principles/06. SVG as code.en.srt 5.6 kB
2. 1. SVG - Core Principles/06. SVG as code.mp4 8.1 MB
2. 1. SVG - Core Principles/07. SVG in the browser.en.srt 8.8 kB
2. 1. SVG - Core Principles/07. SVG in the browser.mp4 16.0 MB
3. 2. Anatomy of an SVG/08. Add SVG to a web document.en.srt 6.2 kB
3. 2. Anatomy of an SVG/08. Add SVG to a web document.mp4 10.5 MB
3. 2. Anatomy of an SVG/09. Define the display size of an SVG.en.srt 5.6 kB
3. 2. Anatomy of an SVG/09. Define the display size of an SVG.mp4 6.9 MB
3. 2. Anatomy of an SVG/10. Understand the viewBox.en.srt 9.3 kB
3. 2. Anatomy of an SVG/10. Understand the viewBox.mp4 9.3 MB

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