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- 【影视】 MyFreeOnlineMovies.com UDEMY Tutorials - Java Programming- 360degree learning with theory & practice
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收录时间:2017-02-08
文档个数:99
文档大小:2.9 GB
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Section 1 Course Introduction/003 Preparing development environment.mp4 55.6 MB
Section 1 Course Introduction/004 Syntax rules.mp4 44.1 MB
Section 1 Course Introduction/002 Platform Independency, JDK and JRE terms.mp4 30.8 MB
Section 1 Course Introduction/001 Giri .mp4 15.7 MB
Section 10 Inheritance and Abstraction/004 Solution to exercise PART 1- Extending classes, overriding methods.mp4 111.9 MB
Section 10 Inheritance and Abstraction/011 Abstract class.mp4 72.7 MB
Section 10 Inheritance and Abstraction/007 Object class - equals method.mp4 62.8 MB
Section 10 Inheritance and Abstraction/005 Solution to exercise PART 2- Extending classes, overriding methods.mp4 57.4 MB
Section 10 Inheritance and Abstraction/006 Object class and toString method.mp4 45.2 MB
Section 10 Inheritance and Abstraction/010 Interface.mp4 43.8 MB
Section 10 Inheritance and Abstraction/013 Comparable interface and natural ordering of instances.mp4 43.1 MB
Section 10 Inheritance and Abstraction/002 Extending classes.mp4 34.3 MB
Section 10 Inheritance and Abstraction/003 Overriding Methods.mp4 30.5 MB
Section 10 Inheritance and Abstraction/008 Object class - hashcode method.mp4 26.0 MB
Section 10 Inheritance and Abstraction/001 Introduction to inheritance.mp4 19.6 MB
Section 10 Inheritance and Abstraction/012 Storing objects with different types but same super class in array.mp4 16.2 MB
Section 10 Inheritance and Abstraction/009 Abstraction.mp4 15.9 MB
Section 10 Inheritance and Abstraction/001 Exercise - Extending classes, overriding methods and attributes.pdf 121.9 kB
Section 10 Inheritance and Abstraction/002 Exercise equals method overriding.pdf 84.9 kB
Section 11 Collections/003 ArrayList - Using custom objects.mp4 71.5 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Prerequisites to Machine Learning - A Beginners Guide
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收录时间:2024-02-03
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~Get Your Files Here !/2. Python for Machine Learning/3. Range, Lists and Tuples.mp4 80.6 MB
~Get Your Files Here !/2. Python for Machine Learning/2. Functions.mp4 61.9 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/6. Mean, Median and Mode.mp4 43.6 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/5. Matplotlib Continue....mp4 42.3 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/7. Variance and Standard Deviation.mp4 40.1 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/1. NumPy.mp4 39.1 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/4. Matplotlib.mp4 36.4 MB
~Get Your Files Here !/2. Python for Machine Learning/4. Importing Modules.mp4 32.0 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/3. Read CSV File.mp4 31.9 MB
~Get Your Files Here !/2. Python for Machine Learning/1. Print Statement and Variables.mp4 27.2 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/2. Pandas.mp4 26.2 MB
~Get Your Files Here !/1. Introduction/4. Google Colab Notebook.mp4 23.6 MB
~Get Your Files Here !/1. Introduction/3. Introduction to Machine Learning.mp4 15.3 MB
~Get Your Files Here !/1. Introduction/1. Course Overview.mp4 6.7 MB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/5.1 matplotlib.ipynb 44.2 kB
~Get Your Files Here !/2. Python for Machine Learning/3. Range, Lists and Tuples.srt 21.8 kB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/6. Mean, Median and Mode.srt 11.6 kB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/5. Matplotlib Continue....srt 10.3 kB
~Get Your Files Here !/3. Packages and Statistics for Machine Learning/7. Variance and Standard Deviation.srt 10.2 kB
~Get Your Files Here !/2. Python for Machine Learning/1. Print Statement and Variables.srt 9.4 kB
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- 【影视】 Introduction to Machine Learning with ENCOG 3
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01 Introduction to Machine Learning/01 Introduction.mp4 629.0 kB
01 Introduction to Machine Learning/01 Introduction.srt 358 Bytes
01 Introduction to Machine Learning/02 Why Machine Learning .mp4 542.9 kB
01 Introduction to Machine Learning/02 Why Machine Learning .srt 569 Bytes
01 Introduction to Machine Learning/03 Why This Course .mp4 3.0 MB
01 Introduction to Machine Learning/03 Why This Course .srt 2.4 kB
01 Introduction to Machine Learning/04 Key Concepts.mp4 1.5 MB
01 Introduction to Machine Learning/04 Key Concepts.srt 1.2 kB
01 Introduction to Machine Learning/05 Spam Filtering.mp4 944.6 kB
01 Introduction to Machine Learning/05 Spam Filtering.srt 931 Bytes
01 Introduction to Machine Learning/06 Course Structure.mp4 2.1 MB
01 Introduction to Machine Learning/06 Course Structure.srt 2.1 kB
02 Applications of Machine Learning/01 Introduction.mp4 678.9 kB
02 Applications of Machine Learning/01 Introduction.srt 383 Bytes
02 Applications of Machine Learning/02 Internet.mp4 2.1 MB
02 Applications of Machine Learning/02 Internet.srt 2.5 kB
02 Applications of Machine Learning/03 Financial Sector.mp4 1.4 MB
02 Applications of Machine Learning/03 Financial Sector.srt 1.7 kB
02 Applications of Machine Learning/04 e-Commerce.mp4 2.1 MB
02 Applications of Machine Learning/04 e-Commerce.srt 2.0 kB
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- 【影视】 [GigaCourse.Com] Udemy - AWS Certified Machine Learning Specialty MLSC01 NEW 2023
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9 - Deployment/126 - Online Inference Realtime.mp4 122.6 MB
6 - Machine learning/61 - Classification Model evaluation.mp4 113.3 MB
6 - Machine learning/63 - Deep Learning.mp4 99.6 MB
5 - Exploratory Data Analysis/44 - Data transformation TextImages.mp4 92.1 MB
7 - AI services/78 - Customers reviews sentiment analysis.mp4 89.1 MB
8 - Modelling/113 - Docker containers with Sagemaker.mp4 88.2 MB
4 - Data Engineering/32 - AWS Glue crawler transformation.mp4 86.8 MB
3 - Compute Storage and Database/14 - Amazon S3 Overview.mp4 85.2 MB
8 - Modelling/114 - XGBoost Churn prediction.mp4 66.9 MB
2 - AWS Accounts and IAM/9 - IAM Users Groups Roles and Policies.mp4 65.0 MB
8 - Modelling/90 - Amazon SageMaker.mp4 64.4 MB
5 - Exploratory Data Analysis/55 - Exam cram.mp4 61.4 MB
5 - Exploratory Data Analysis/54 - Amazon Elastic Map Reduce EMR.mp4 61.4 MB
6 - Machine learning/57 - Machine Learning categories.mp4 60.3 MB
4 - Data Engineering/24 - Amazon Kinesis Data Streams.mp4 58.0 MB
9 - Deployment/135 - XGBoost Churn prediction deployment.mp4 55.9 MB
5 - Exploratory Data Analysis/43 - Data transformation NumbersCategories.mp4 55.9 MB
3 - Compute Storage and Database/16 - Block vs File vs Object Storage.mp4 55.3 MB
5 - Exploratory Data Analysis/49 - Create a labelling job.mp4 54.2 MB
1 - Lets Get Started/1 - How to Use this Course.mp4 53.2 MB
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- 【影视】 Combo.4.Modulos.Machine.Learning.Com.Python
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收录时间:2023-12-18
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7. Módulo 1 - Confusion matrix e normalização/2. Medição de desempenho ROCAUC (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.4 GB
22. Módulo 2 - Support Vector Machine (SVM)/1. SVM (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 1/1. SVMteoria1.mp4 1.3 GB
10. Módulo 1 - Decision Trees/1. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 1 entropia/1. aula.mp4 1.2 GB
23. Módulo 2 - Sistemas de Recomendação/5. Método Matrix Factorization SVD++ (Teoria)/1. Matrix Factorization.mp4 1.2 GB
16. Módulo 2 - PCA/1. Principal Component Analysis - PCA (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.2 GB
19. Módulo 2 - AdaBoost/1. AdaBoost (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. ADAboostTeoria.mp4 1.1 GB
30. Módulo 3 - Visão Computacional/46. Style Transfer (teoria)/1. Style Transfer Teoria.mp4 1.0 GB
15. Módulo 2 - Aprendizado não supervisionado/2. Clustering K Means (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 1.0 GB
20. Módulo 2 - GradientBoosting/1. GradientBoosting (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 1/1. GB teoria 1.mp4 857.4 MB
5. Módulo 1 - Validação cruzada e ajuste fino dos parâmetros/1. Validação cruzada Kfold (Teoria o que o algoritmo faz debaixo dos panos)/1. Kfold Teoria.mp4 818.2 MB
4. Módulo 1 - Outros modelos de regressão linear/1. Ridge regression (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. Ridge regression.mp4 813.3 MB
36. Módulo 4 - Aprendizado por Reforço/131. Como o Alpha-Zero funciona/1. Alphazero.mp4 812.7 MB
22. Módulo 2 - Support Vector Machine (SVM)/2. SVM (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 2/1. SVMteoria2.mp4 743.7 MB
10. Módulo 1 - Decision Trees/4. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 3 regressão/1. aula.mp4 734.4 MB
11. Módulo 1 - Feature Selection/3. Feature selection qui-quadrado (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 732.4 MB
11. Módulo 1 - Feature Selection/5. Feature selection f_classif (Conceito + Matemática o que o algoritmo faz debaixo dos panos)/1. aula.mp4 707.8 MB
20. Módulo 2 - GradientBoosting/2. GradientBoosting (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – parte 2/1. GB teoria 2.mp4 707.8 MB
10. Módulo 1 - Decision Trees/2. Decision Trees (Conceito + Matemática o que o algoritmo faz debaixo dos panos) – Parte 2 índice GINI/1. aula.mp4 689.0 MB
25. Módulo 2 - Testando seus Conhecimentos/1. Buscando a melhor performance possível/1. MelhorPerformance.mp4 655.8 MB
34. Módulo 4 - Séries Temporais e Redes Neurais Recorrentes/4. Truncated Backpropagation Through Time (TBTT)/1. RNN4.mp4 606.0 MB
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- 【影视】 Higher Learning-DvdRip
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收录时间:2017-02-20
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Higher Learning-DvdRip.mkv 765.9 MB
sample.mkv 6.0 MB
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- 【影视】 [FreeCoursesOnline.Us] Linkedin - Learning Python GUI Programming
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收录时间:2018-02-01
文档个数:144
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01 - Introduction to Python GUI - Learning Python GUI Programming.en.srt 6.3 kB
01 - Introduction to Python GUI - Learning Python GUI Programming.mp4 42.9 MB
02 - Adding a label to the GUI form - Learning Python GUI Programming.en.srt 3.6 kB
02 - Adding a label to the GUI form - Learning Python GUI Programming.mp4 16.5 MB
03 - Creating buttons and text box widgets - Learning Python GUI Programming.en.srt 6.7 kB
03 - Creating buttons and text box widgets - Learning Python GUI Programming.mp4 27.9 MB
04 - Exploring widgets - Learning Python GUI Programming.en.srt 8.3 kB
04 - Exploring widgets - Learning Python GUI Programming.mp4 35.7 MB
05 - Adding extra features - Learning Python GUI Programming.en.srt 12.6 kB
05 - Adding extra features - Learning Python GUI Programming.mp4 54.6 MB
06 - Adding several widgets in a loop - Learning Python GUI Programming.en.srt 4.9 kB
06 - Adding several widgets in a loop - Learning Python GUI Programming.mp4 19.7 MB
07 - Arranging several labels within a label frame - Learning Python GUI Programming.en.srt 5.6 kB
07 - Arranging several labels within a label frame - Learning Python GUI Programming.mp4 23.4 MB
08 - Using padding to add space around widgets - Learning Python GUI Programming.en.srt 5.8 kB
08 - Using padding to add space around widgets - Learning Python GUI Programming.mp4 24.1 MB
09 - Expanding the GUI dynamically using widgets - Learning Python GUI Programming.en.srt 7.6 kB
09 - Expanding the GUI dynamically using widgets - Learning Python GUI Programming.mp4 32.8 MB
10 - Aligning the GUI widgets by embedding frames within frames - Learning Python GUI Programming.en.srt 7.9 kB
10 - Aligning the GUI widgets by embedding frames within frames - Learning Python GUI Programming.mp4 37.3 MB
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- 【影视】 Machine Learning CALTECH
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收录时间:2017-08-17
文档个数:35
文档大小:3.5 GB
最近下载:2025-05-01
人气:283
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Slides/iTunesU_Lecture01_April_03.pdf 300.7 kB
Slides/iTunesU_Lecture02_April_05.pdf 527.4 kB
Slides/iTunesU_Lecture03_April_10.pdf 1.1 MB
Slides/iTunesU_Lecture04_April_12.pdf 1.0 MB
Slides/iTunesU_Lecture05_April_17.pdf 509.1 kB
Slides/iTunesU_Lecture06_April_19.pdf 303.4 kB
Slides/iTunesU_Lecture07_April_24.pdf 418.4 kB
Slides/iTunesU_Lecture08_April_26.pdf 373.5 kB
Slides/iTunesU_Lecture09_May_01.pdf 745.9 kB
Slides/iTunesU_Lecture10_May_03.pdf 400.4 kB
Slides/iTunesU_Lecture11_May_08.pdf 761.5 kB
Slides/iTunesU_Lecture12_May_10.pdf 644.0 kB
Slides/iTunesU_Lecture13_May_15.pdf 757.0 kB
Slides/iTunesU_Lecture14_May_17.pdf 248.6 kB
Slides/iTunesU_Lecture15_May_22.pdf 489.7 kB
Slides/iTunesU_Lecture17_May_29.pdf 449.0 kB
Slides/iTunesU_Lecture18_May_31.pdf 249.3 kB
Lecture 01 - The Learning Problem (April 3, 2012).mp4 211.1 MB
Lecture 02 - Is Learning Feasible (April 5, 2012).mp4 194.3 MB
Lecture 03 -The Linear Model I (April 10, 2012).mp4 183.6 MB
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- 【影视】 Ria Sunn (Ria Sunn still learning how to be a porn star! first time Airtight DP SZ921) Cocaine.mp4
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收录时间:2017-07-02
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Ria Sunn (Ria Sunn still learning how to be a porn star! first time Airtight DP SZ921) Cocaine.mp4 885.2 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R
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收录时间:2021-03-19
文档个数:559
文档大小:14.1 GB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
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
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
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 114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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vid/[BackroomCastingCouch] Rissa - Learning The Hard Way - 06.05.23 - 1080p - x265.mp4 932.3 MB
[BackroomCastingCouch] Rissa - Learning The Hard Way - 06.05.23 - 1080p - x265.scr 662.2 MB
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- 【影视】 [FreeCourseLab.com] Udemy - Machine Learning Practical 6 Real-World Applications
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2. Breast Cancer Classification/8. Improving the Model.mp4 199.0 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 147.3 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 136.5 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 134.4 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 132.1 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 108.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 106.9 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 102.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 98.0 MB
3. Fashion Class Classification/1. Business Challenge.mp4 96.7 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 95.8 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 83.6 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 82.9 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 82.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 81.2 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 78.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 78.0 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 77.2 MB
4. Directing Customers to Subscription Through App Behavior Analysis/10. Model Building.mp4 75.8 MB
4. Directing Customers to Subscription Through App Behavior Analysis/8. Feature Engineering - Screens.mp4 74.5 MB
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~Get Your Files Here !/04 - 3. Creating a Configurable Model/03 - Create check boxes.mp4 25.4 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/05 - Define constraints.mp4 20.4 MB
~Get Your Files Here !/04 - 3. Creating a Configurable Model/02 - Create a slider.mp4 16.1 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/03 - Set up a Solver worksheet.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/06 - Require integer solutions.mp4 12.1 MB
~Get Your Files Here !/05 - 4. Performing Monte Carlo Simulation/02 - Create an input table.mp4 11.8 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/03 - Summarize scenarios.mp4 11.6 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/06 - Define a two-variable data table.mp4 10.8 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/02 - Show and hide scenarios.mp4 10.6 MB
~Get Your Files Here !/04 - 3. Creating a Configurable Model/04 - Manipulate your model.mp4 9.9 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/04 - Edit and delete scenarios.mp4 9.9 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/05 - Define a one-variable data table.mp4 9.5 MB
~Get Your Files Here !/05 - 4. Performing Monte Carlo Simulation/04 - Run and evaluate your simulation.mp4 9.1 MB
~Get Your Files Here !/02 - 1. Defining Scenarios and Data Tables/01 - Create a scenario.mp4 8.1 MB
~Get Your Files Here !/05 - 4. Performing Monte Carlo Simulation/01 - Define a scenario.mp4 7.7 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/01 - Find a target value using Goal Seek.mp4 7.2 MB
~Get Your Files Here !/05 - 4. Performing Monte Carlo Simulation/03 - Calculate demand.mp4 6.3 MB
~Get Your Files Here !/04 - 3. Creating a Configurable Model/01 - Organize your analysis worksheet.mp4 6.1 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/02 - Activate Solver.mp4 5.7 MB
~Get Your Files Here !/03 - 2. Creating Goal Seek and Solver Models/04 - Select an optimization target and operation.mp4 5.5 MB
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metartx.21.05.27.oceane.learning.yourself.2.4k.mp4 3.4 GB
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