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~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/7. MINLP Challenge Solution.mp4 463.9 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/5. Example2 Model Development in Python.mp4 336.3 MB
~Get Your Files Here !/6. Non-Linear Programming (NLP)/7. NLP Challenge Solution.mp4 290.6 MB
~Get Your Files Here !/5. Mixed-Integer Linear Programming (MILP)/5. Example2 Model Development in Python.mp4 236.1 MB
~Get Your Files Here !/4. Linear Programming (LP)/7. LP Challenge Solution in Python.mp4 228.8 MB
~Get Your Files Here !/5. Mixed-Integer Linear Programming (MILP)/7. MILP Challenge Solution in Python.mp4 226.2 MB
~Get Your Files Here !/4. Linear Programming (LP)/5. Example2 Model Development in Python.mp4 188.4 MB
~Get Your Files Here !/5. Mixed-Integer Linear Programming (MILP)/3. Example1 Model Development in Python.mp4 183.9 MB
~Get Your Files Here !/6. Non-Linear Programming (NLP)/5. Example2 Model Development in Python.mp4 148.3 MB
~Get Your Files Here !/4. Linear Programming (LP)/3. Example 1 Model Development in Python.mp4 108.1 MB
~Get Your Files Here !/6. Non-Linear Programming (NLP)/6. NLP Challenge Problem.mp4 93.4 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/6. MINLP Challenge Problem.mp4 85.7 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/3. Example1 Model Development in Python.mp4 82.3 MB
~Get Your Files Here !/7. Mixed-Integer Nonlinear Programming (MINLP)/4. Example2 Problem Formulation.mp4 75.6 MB
~Get Your Files Here !/6. Non-Linear Programming (NLP)/3. Example1 Model Development in Python.mp4 74.8 MB
~Get Your Files Here !/4. Linear Programming (LP)/6. LP Challenge Problem.mp4 68.0 MB
~Get Your Files Here !/5. Mixed-Integer Linear Programming (MILP)/2. Example1 Problem Formulation.mp4 61.2 MB
~Get Your Files Here !/3. Python Installation/2. Review on Colab Environment.mp4 51.8 MB
~Get Your Files Here !/2. Introduction to Mathematical Optimization/1. A Review on Optimization’s Important Concepts.mp4 51.0 MB
~Get Your Files Here !/4. Linear Programming (LP)/4. Example2 Problem Formulation.mp4 49.3 MB
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14. Modules/1. Using Built-In Modules.mp4 10.9 MB
16. Object-Oriented Programming - Part 2/2. Creating A Derived Class - Part 2.mp4 8.9 MB
16. Object-Oriented Programming - Part 2/4. Exercise 2.mp4 8.7 MB
11. Functions/3. Calling Functions.mp4 7.4 MB
16. Object-Oriented Programming - Part 2/1. Creating A Derived Class - Part 1.mp4 6.4 MB
2. Installing Python/1. Installing Python In Windows.mp4 5.9 MB
16. Object-Oriented Programming - Part 2/3. Exercise 1.mp4 5.5 MB
15. Object-Oriented Programming - Part 1/6. Exercise 2.mp4 5.3 MB
17. Exception Handling/5. Exercise 1.mp4 5.2 MB
6. Making Decisions - if Statements/5. if-elif Statement.mp4 5.1 MB
7. while Loops/6. Working With Files - Part 1.mp4 4.8 MB
12. More On Functions/5. Higher-Order Functions.mp4 4.7 MB
5. Python InputOutput/1. Using The Print Function - Part 1.mp4 4.5 MB
11. Functions/6. Exercise 1.mp4 4.5 MB
7. while Loops/7. Working With Files - Part 2.mp4 4.3 MB
15. Object-Oriented Programming - Part 1/3. Designing A Class, Methods.mp4 4.3 MB
9. Iterators/4. Other Iterators.mp4 4.3 MB
3. Writing Your First Program - Hello, World!/1. Entering And Running A Program In Windows.mp4 4.2 MB
4. Python Basic Data Types And Variables/1. Expressions, Statements, Variables.mp4 4.2 MB
17. Exception Handling/2. Try-Except Statements.mp4 4.2 MB
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6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 210.3 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 200.3 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 198.9 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 197.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 191.1 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 175.5 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 167.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 163.9 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 163.4 MB
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6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 158.0 MB
2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 152.0 MB
3. Predictive Models/1. [Activity] Linear Regression.mp4 151.4 MB
9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4 148.7 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/6. Spark and the Resilient Distributed Dataset (RDD).mp4 147.4 MB
9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4 146.6 MB
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27. Application 6 Build a Webcam Motion Detector/2. Detecting Webcam Objects.mp4 264.4 MB
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24. Application 5 Feel-Good Mobile App/11. Styiling the Login Page.mp4 185.9 MB
24. Application 5 Feel-Good Mobile App/10. Displaying Text to the User.mp4 184.8 MB
15. Working with CSV, JSON, and Excel Files/18. Example Geocoding Addresses with Pandas and Geopy.mp4 170.1 MB
32. Application 9 Database Web App/11. Bonus Lecture Implementing Download and Upload in your Web App.mp4 150.0 MB
24. Application 5 Feel-Good Mobile App/6. Implementing the Sign Up Page (Backend).mp4 140.1 MB
32. Application 9 Database Web App/9. Backend Sending Statistics to Users.mp4 138.8 MB
12. Imported Modules/2. Standard Python Modules.mp4 113.2 MB
24. Application 5 Feel-Good Mobile App/13. Making a Dynamic Hover Button.mp4 106.4 MB
23. Object Oriented Programming/4. Creating a Bank Account Object.mp4 101.3 MB
24. Application 5 Feel-Good Mobile App/3. Creating a Login Page (Frontend).mp4 95.6 MB
25. Making an APK for Android/2. Preparing the Environment for Deploying the App to and Android Phone.mp4 93.0 MB
6. The Basics Processing User Input/1. User Input.mp4 91.4 MB
25. Making an APK for Android/3. Creating an APK file for Android.mp4 90.6 MB
32. Application 9 Database Web App/8. Backend Emailing Database Values Back to the User.mp4 88.7 MB
1. Introduction/6. Installing Python 3 and the IDE (Windows, Mac, and Linux).mp4 88.5 MB
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2. The Basics Small Program/2. Your First Python Program.mp4 83.9 MB
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03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 82.3 MB
Exercise Files/exercise_files.zip 71.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 51.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 46.3 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 45.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 44.0 MB
03.Manifold and Deep Learning for High-Dimensional Data/0308.Deep Learning and Visualization Autoencoders and t-SNE – Part 2.mp4 43.2 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 39.5 MB
02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 36.1 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 35.9 MB
03.Manifold and Deep Learning for High-Dimensional Data/0306.Visualize High-Dimensional Data t-SNE and UMAP – Part 2.mp4 33.9 MB
02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 33.8 MB
03.Manifold and Deep Learning for High-Dimensional Data/0307.Deep Learning and Visualization Autoencoders and t-SNE – Part 1.mp4 32.4 MB
02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 31.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 30.4 MB
03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 29.8 MB
02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 29.7 MB
02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 28.3 MB
02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 27.9 MB
03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 27.7 MB
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04. Gang of Four (GoF) Patterns, Part 2/29 - Practitioner's perspective - Development.mp4 20.6 MB
04. Gang of Four (GoF) Patterns, Part 2/22 - Mediator example.mp4 17.1 MB
04. Gang of Four (GoF) Patterns, Part 2/28 - Template method example.mp4 16.1 MB
04. Gang of Four (GoF) Patterns, Part 2/26 - State example.mp4 11.4 MB
01. Understanding Design Patterns - Review/06 - Design pattern adoption.mp4 10.6 MB
05. Conclusion/30 - Next steps.mp4 9.8 MB
03. Gang of Four (GoF) Patterns, Part 1/17 - Command example.mp4 9.5 MB
03. Gang of Four (GoF) Patterns, Part 1/19 - Interpreter example.mp4 8.9 MB
04. Gang of Four (GoF) Patterns, Part 2/24 - Memento example.mp4 8.7 MB
01. Understanding Design Patterns - Review/08 - Why use design patterns, or why not.mp4 7.2 MB
03. Gang of Four (GoF) Patterns, Part 1/14 - Facade.mp4 7.1 MB
02. Design Best Practices/11 - Security patterns.mp4 7.0 MB
00. Introduction/01 - Welcome.mp4 6.9 MB
01. Understanding Design Patterns - Review/03 - What is a design pattern.mp4 6.8 MB
02. Design Best Practices/12 - Case study - Intercepting validator.mp4 6.8 MB
04. Gang of Four (GoF) Patterns, Part 2/27 - Template method.mp4 6.6 MB
02. Design Best Practices/13 - Intercepting validator example.mp4 6.4 MB
03. Gang of Four (GoF) Patterns, Part 1/18 - Interpreter.mp4 6.4 MB
02. Design Best Practices/09 - Quality attributes and design patterns.mp4 6.3 MB
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~Get Your Files Here !/3 - 1st App Most popular languages/17 - Backend Coding.mp4 153.2 MB
~Get Your Files Here !/2 - Shiny for Python/11 - Control Widgets Coding.mp4 129.5 MB
~Get Your Files Here !/3 - 1st App Most popular languages/15 - Data Preparation Coding.mp4 116.9 MB
~Get Your Files Here !/3 - 1st App Most popular languages/16 - Frontend Coding.mp4 100.2 MB
~Get Your Files Here !/5 - Deployment/35 - GitHub Pages Coding.mp4 76.0 MB
~Get Your Files Here !/4 - 2nd App Climate Change/22 - 4 Frontend Layout with Rows and Columns.mp4 73.3 MB
~Get Your Files Here !/4 - 2nd App Climate Change/28 - 10 Backend Temperature Plot Coding.mp4 60.1 MB
~Get Your Files Here !/1 - Introduction Setup/5 - Get Material Local Environment Coding.mp4 59.9 MB
~Get Your Files Here !/4 - 2nd App Climate Change/23 - 5 Frontend Adding Static Content Coding.mp4 51.1 MB
~Get Your Files Here !/4 - 2nd App Climate Change/30 - 12 Backend Implement Color Map Coding.mp4 48.7 MB
~Get Your Files Here !/4 - 2nd App Climate Change/29 - 11 Backend Implement a Progress Bar Coding.mp4 46.1 MB
~Get Your Files Here !/4 - 2nd App Climate Change/24 - 6 Frontend Image with a Link Coding.mp4 42.8 MB
~Get Your Files Here !/2 - Shiny for Python/7 - Our first app Coding.mp4 41.5 MB
~Get Your Files Here !/2 - Shiny for Python/13 - Reactivity Coding.mp4 39.8 MB
~Get Your Files Here !/4 - 2nd App Climate Change/26 - 8 Backend Adding the world map Coding.mp4 36.2 MB
~Get Your Files Here !/4 - 2nd App Climate Change/19 - 1 App Setup Coding.mp4 35.6 MB
~Get Your Files Here !/4 - 2nd App Climate Change/27 - 9 Backend Map Plotting Function Coding.mp4 32.7 MB
~Get Your Files Here !/4 - 2nd App Climate Change/20 - 2 Data Preparation Coding.mp4 32.5 MB
~Get Your Files Here !/2 - Shiny for Python/6 - HighLevel App Structure 101.mp4 31.5 MB
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05.Examining-Relationships-in-Data-with-Scatter-Plots/01.Creating-Scatter-Plots-with-Matplotlib.mp4 30.5 MB
03.Finding-Distribution-of-Data-with-Histograms/01.Creating-Histograms-with-Matplotlib.mp4 18.7 MB
08.Solving-Real-world-Problems-with-Visualization/00.Whats-the-Richest-Country-in-the-World.mp4 17.4 MB
04.Creating-Time-Series-with-Line-Charts/01.Creating-Line-Charts-with-Matplotlib.mp4 15.8 MB
07.What-to-Do-When-Your-Data-Is-Too-Big/01.A-Data-Aggregation-Example-with-Python.mp4 13.4 MB
06.Comparing-Data-with-Bar-Graphs/02.Practice-Problem-4---Bar-Graphs.mp4 12.6 MB
06.Comparing-Data-with-Bar-Graphs/01.Creating-Bar-Graphs-with-Matplotlib.mp4 11.1 MB
05.Examining-Relationships-in-Data-with-Scatter-Plots/02.Practice-Problem-3---Scatter-Plots.mp4 10.1 MB
03.Finding-Distribution-of-Data-with-Histograms/02.Practice-Problem-1---Histograms.mp4 9.1 MB
02.Introduction-to-Jupyter-Pandas-and-Matplotlib/03.Using-Pandas-for-the-First-Time.mp4 8.5 MB
02.Introduction-to-Jupyter-Pandas-and-Matplotlib/01.Using-Jupyter-for-the-First-Time.mp4 8.4 MB
04.Creating-Time-Series-with-Line-Charts/02.Practice-Problem-2---Line-Charts--Time-Series.mp4 8.0 MB
07.What-to-Do-When-Your-Data-Is-Too-Big/02.A-Random-Sampling-Example-with-Python.mp4 7.9 MB
07.What-to-Do-When-Your-Data-Is-Too-Big/00.Introduction-to-Data-Aggregation-and-Sampling.mp4 7.7 MB
02.Introduction-to-Jupyter-Pandas-and-Matplotlib/02.Using-Matplotlib-for-the-First-Time.mp4 7.2 MB
02.Introduction-to-Jupyter-Pandas-and-Matplotlib/00.Installing-Libraries-Through-Anaconda.mp4 6.7 MB
02.Introduction-to-Jupyter-Pandas-and-Matplotlib/04.Importing-Data-with-Pandas.mp4 6.5 MB
05.Examining-Relationships-in-Data-with-Scatter-Plots/00.When-to-Use-Scatter-Plots.mp4 6.4 MB
06.Comparing-Data-with-Bar-Graphs/00.When-to-Use-Bar-Graphs.mp4 4.9 MB
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15 Web Scraping with Python/120 Python Web Scraping - Grabbing an Image.mp4 155.9 MB
15 Web Scraping with Python/124 Python Web Scraping - Exercise Solutions.mp4 138.7 MB
14 Advanced Python Modules/105 Opening and Reading Files and Folders (Python OS Module).mp4 130.8 MB
06 Methods and Functions/058 Methods and Functions Homework - Solutions.mp4 119.3 MB
07 Milestone Project - 1/062 Validating User Input.mp4 106.6 MB
17 Working with PDFs and Spreadsheet CSV Files/130 Working with CSV Files in Python.mp4 102.9 MB
16 Working with Images with Python/126 Working with Images with Python.mp4 101.5 MB
11 Milestone Project - 2/092 Game Logic - Part Three.mp4 96.6 MB
15 Web Scraping with Python/122 Python Web Scraping - Book Examples Part Two.mp4 90.8 MB
18 Emails with Python/136 Receiving Emails with Python.mp4 89.6 MB
11 Milestone Project - 2/088 Deck Class.mp4 83.3 MB
07 Milestone Project - 1/063 Simple User Interaction.mp4 79.8 MB
15 Web Scraping with Python/117 Setting Up Web Scraping Libraries.mp4 78.8 MB
15 Web Scraping with Python/121 Python Web Scraping - Book Examples Part One.mp4 78.1 MB
15 Web Scraping with Python/118 Python Web Scraping - Grabbing a Title.mp4 75.6 MB
20 Advanced Python Objects and Data Structures/140 Advanced Sets.mp4 74.9 MB
15 Web Scraping with Python/116 Introduction to Web Scraping.mp4 74.6 MB
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~Get Your Files Here !/7. Data exploration with Seaborn Penguin species/5. Identifying penguins with joint plots.mp4 92.0 MB
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~Get Your Files Here !/4. Image manipulation with matplotlib/3. Color maps.mp4 57.7 MB
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~Get Your Files Here !/6. Data exploration with Seaborn Titanic dataset/5. Who was on the Titanic - Part 2.mp4 55.8 MB
~Get Your Files Here !/11. Data exploration with Plotly FMRI/2. How does the brain react to certain events.mp4 54.7 MB
~Get Your Files Here !/3. Data exploration with matplotlib Iris dataset/13. Feature value distribution.mp4 50.1 MB
~Get Your Files Here !/7. Data exploration with Seaborn Penguin species/3. How can we differentiate between penguin species.mp4 46.4 MB
~Get Your Files Here !/4. Image manipulation with matplotlib/4. Creating complex graph structures.mp4 45.7 MB
~Get Your Files Here !/2. Matplotlib/8. Add annotations to the graph.mp4 45.2 MB
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~Get Your Files Here !/2. Matplotlib/7. Object-oriented interface.mp4 41.2 MB
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03 - Tomando decisões em Python com if, else, elif/004 Estudo de Caso Saque Conta Corrente - Tomada de Decisão otimizada com IF ELSE.mp4 114.3 MB
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07 - Integração Python com Bancos de Dados/003 SQLite - Instalando plugin para verificar e gerenciar bancos de dados.mp4 62.7 MB
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8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4 476.4 MB
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7. Regresión lineal con Python/16. Variables categóricas en una regresión lineal.mp4 298.3 MB
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