- 【影视】 [ FreeCourseWeb.com ] Udemy - Neural Networks in Python - Deep Learning for Beginners
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~Get Your Files Here !/11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.4 MB
~Get Your Files Here !/13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
~Get Your Files Here !/4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
~Get Your Files Here !/15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
~Get Your Files Here !/12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
~Get Your Files Here !/3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
~Get Your Files Here !/10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
~Get Your Files Here !/10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
~Get Your Files Here !/15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
~Get Your Files Here !/15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
~Get Your Files Here !/10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
~Get Your Files Here !/15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
~Get Your Files Here !/2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
~Get Your Files Here !/16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
~Get Your Files Here !/5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
~Get Your Files Here !/15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
~Get Your Files Here !/14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021)
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06 Single Inheritance/002 Single Inheritance - Lecture.mp4 448.6 MB
12 Exceptions (Single Inheritance)/004 Handling Exceptions - Lecture.mp4 433.3 MB
14 Metaprogramming/021 Classes, Metaclasses, and __call__.mp4 417.9 MB
02 Classes/018 Properties - Lecture.mp4 411.4 MB
03 Project 1/011 Project Solution - Testing with unittest.mp4 338.7 MB
12 Exceptions (Single Inheritance)/002 Python Exceptions - Lecture.mp4 332.5 MB
14 Metaprogramming/012 Class Decorators - Coding.mp4 322.8 MB
02 Classes/004 Class Attributes - Lecture.mp4 321.7 MB
02 Classes/012 Function Attributes - Lecture.mp4 308.3 MB
06 Single Inheritance/010 Delegating to Parent - Lecture.mp4 305.2 MB
02 Classes/020 Property Decorators - Lecture.mp4 296.9 MB
06 Single Inheritance/006 Overriding - Lecture.mp4 285.9 MB
02 Classes/027 Class and Static Methods - Lecture.mp4 272.4 MB
02 Classes/002 Objects and Classes - Lecture.mp4 265.1 MB
12 Exceptions (Single Inheritance)/009 Custom Exceptions - Coding.mp4 263.1 MB
09 Project 4/002 Solution - Part 1.mp4 256.9 MB
14 Metaprogramming/003 The __new__ Method - Lecture.mp4 254.7 MB
01 Introduction/001 Introduction.mp4 254.5 MB
14 Metaprogramming/025 Attribute Read Accessors - Lecture.mp4 245.4 MB
10 Enumerations/003 Enumerations - Lecture.mp4 239.7 MB
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29 - Acessando um banco de Dados relacional.mp4 23.5 MB
26 - Trabalhando com dados no formato JSON.mp4 21.5 MB
30 - Acessando um banco de dados NoSQL.mp4 18.7 MB
27 - Analisar dados provenientes de arquivos HTML.mp4 17.6 MB
25 - Criando arquivos compactados e excluindo arquivos.mp4 16.8 MB
15 - Trabalhando com datas e horas.mp4 13.4 MB
08 - Variáveis e Expressões.mp4 12.3 MB
14 - Classes.mp4 11.7 MB
24 - Outras manipulações de arquivos.mp4 10.9 MB
28 - Manipulando XML.mp4 10.8 MB
23 - Trabalhando com Paths.mp4 10.6 MB
09 - Funções em Python.mp4 10.6 MB
19 - Trabalhando com calendários.mp4 10.6 MB
18 - Exemplo de manipulação de datas.mp4 10.4 MB
22 - Lendo dados de arquivos.mp4 10.0 MB
16 - Formatando datas e horas.mp4 9.2 MB
13 - Parando ou continuando um loop.mp4 8.1 MB
17 - Usando intervalos de datas.mp4 7.4 MB
12 - Loops For.mp4 7.4 MB
10 - Estruturas condicionais.mp4 6.7 MB
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~Get Your Files Here !/2. Installing Python/1. Install python on Mac.mp4 67.2 MB
~Get Your Files Here !/2. Installing Python/2. Install Python on Windows.mp4 64.5 MB
~Get Your Files Here !/16. Data Visualisation with Python/6. Importing data from a CSV file.mp4 55.8 MB
~Get Your Files Here !/16. Data Visualisation with Python/7. Analysis with a real data set - loading data.mp4 51.8 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4 43.2 MB
~Get Your Files Here !/7. Lists and Tuples/2. Working with List Functions.mp4 42.0 MB
~Get Your Files Here !/16. Data Visualisation with Python/2. Installing Jupyter through Anaconda.mp4 38.0 MB
~Get Your Files Here !/11. Python Dictionary/2. Working with Packages - Pip.mp4 37.4 MB
~Get Your Files Here !/16. Data Visualisation with Python/1. Introduction to Data Visualisation.mp4 34.8 MB
~Get Your Files Here !/13. Working with Files/1. Read Write Files with Python.mp4 33.5 MB
~Get Your Files Here !/5. Working with Strings/1. Working with Strings.mp4 28.1 MB
~Get Your Files Here !/15. Inheritance in Python/1. How inheritance work in Python.mp4 27.1 MB
~Get Your Files Here !/8. Functions/1. Working with Functions.mp4 26.5 MB
~Get Your Files Here !/14. Classes & Objects/1. Working with Classes and Objects.mp4 26.0 MB
~Get Your Files Here !/16. Data Visualisation with Python/8. Solution for Exercise.mp4 25.4 MB
~Get Your Files Here !/10. Loops - whilefor/1. Working with Loops.mp4 24.9 MB
~Get Your Files Here !/9. If Statement/1. Working with ifelse conditions.mp4 24.8 MB
~Get Your Files Here !/7. Lists and Tuples/3. Working with Tuples.mp4 24.1 MB
~Get Your Files Here !/4. Numbers in Python/1. Working with Numbers.mp4 22.6 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python
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8/1. Anaconda Environment Setup.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
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1. Start Here/1. Introduction and Outline.mp4 41.3 MB
10/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ Finale/2. BONUS.srt 39.7 MB
11. Appendix FAQ Finale/2. BONUS.mp4 39.7 MB
10/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
10/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 30.7 MB
2/5. Interpretation of Logistic Regression Output.mp4 29.3 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 26.4 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
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02 Basic functionality of the bot. Background task for monitoring/006 Background task. Fire reminders when time comes.mp4 106.2 MB
02 Basic functionality of the bot. Background task for monitoring/003 Create conversation handler. Add reminder and enter message handlers.mp4 60.8 MB
04 Deploy to Heroku/003 Create Heroku app. Add configuration files.mp4 55.6 MB
03 Connect Postgres database/001 PostgreSQL statements.mp4 53.1 MB
04 Deploy to Heroku/005 Make bot work on the server.mp4 51.3 MB
02 Basic functionality of the bot. Background task for monitoring/004 Enter time handler. Store reminders in memory.mp4 41.0 MB
01 Create and configure a bot. Make it respond/002 What is telegram bot_.mp4 36.2 MB
03 Connect Postgres database/005 Apply required changes to main.py.mp4 35.1 MB
03 Connect Postgres database/003 Implement DataSource class which will work with DB.mp4 33.8 MB
04 Deploy to Heroku/001 What is deployment and Heroku_.mp4 31.5 MB
02 Basic functionality of the bot. Background task for monitoring/005 What're threads_.mp4 18.7 MB
03 Connect Postgres database/002 Set up Postgres. Create database and user.mp4 18.5 MB
01 Create and configure a bot. Make it respond/004 Set up PyCharm. Install python-telegram-bot module.mp4 18.3 MB
04 Deploy to Heroku/002 Configure GitHub. Push all changes to remote.mp4 17.1 MB
03 Connect Postgres database/006 Test the bot, check the data in DB.mp4 16.9 MB
03 Connect Postgres database/004 Refactor ReminderData class.mp4 15.3 MB
01 Create and configure a bot. Make it respond/005 Code first lines. Make bot to respond.mp4 14.2 MB
02 Basic functionality of the bot. Background task for monitoring/002 Add reply keyboard with _Add reminder_ button.mp4 13.3 MB
02 Basic functionality of the bot. Background task for monitoring/001 Define the goals. Extract token to the environment variable.mp4 12.6 MB
04 Deploy to Heroku/004 Set up Postgres add-on on Heroku.mp4 12.2 MB
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~Get Your Files Here !/5. Graphs and Plotting in Python/4. Application of Stackplot in Python.mp4 102.8 MB
~Get Your Files Here !/2. Data Structures and Conditional Executions in Python/3. Dictionaries in Python.mp4 94.2 MB
~Get Your Files Here !/6. Working with Different Functions in Python/4. Functional Programming-map in Python.mp4 91.2 MB
~Get Your Files Here !/5. Graphs and Plotting in Python/6. Scatter Plot in Python.mp4 86.2 MB
~Get Your Files Here !/4. Errors and Exceptions in Python/2. Handling Errors and Exceptions in Python.mp4 85.3 MB
~Get Your Files Here !/2. Data Structures and Conditional Executions in Python/4. Complex lists and repetitions in Python.mp4 85.0 MB
~Get Your Files Here !/4. Errors and Exceptions in Python/5. More on loops in Python.mp4 83.7 MB
~Get Your Files Here !/6. Working with Different Functions in Python/5. List and Reduce in Python.mp4 77.6 MB
~Get Your Files Here !/7. Web Scraping using BeautifulSoup in Python/1. Parsing a simple webpage using BeautifulSoup in Python.mp4 72.3 MB
~Get Your Files Here !/5. Graphs and Plotting in Python/2. Application of Grouped Bar Graph in Python.mp4 71.1 MB
~Get Your Files Here !/3. Conditions and Loops in Python/3. Examples on For and Nested For in Python.mp4 67.2 MB
~Get Your Files Here !/2. Data Structures and Conditional Executions in Python/5. More on Lists and Sets in Python.mp4 66.7 MB
~Get Your Files Here !/2. Data Structures and Conditional Executions in Python/2. Tuples in Python.mp4 64.3 MB
~Get Your Files Here !/5. Graphs and Plotting in Python/3. Histogram in Python.mp4 62.7 MB
~Get Your Files Here !/1. Introduction to Python/3. Spyder IDE, a Python interface.mp4 60.0 MB
~Get Your Files Here !/4. Errors and Exceptions in Python/1. Python Errors.mp4 59.5 MB
~Get Your Files Here !/5. Graphs and Plotting in Python/1. Bar Chart Application in Python.mp4 55.1 MB
~Get Your Files Here !/6. Working with Different Functions in Python/1. Built-in Functions in Python.mp4 54.4 MB
~Get Your Files Here !/6. Working with Different Functions in Python/3. Conditionals in Python Lists.mp4 53.3 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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~Get Your Files Here !/3. Plotting with Categorical Data/9. Barplot Examples.mp4 132.2 MB
~Get Your Files Here !/3. Plotting with Categorical Data/7. Boxenplot Examples.mp4 132.2 MB
~Get Your Files Here !/3. Plotting with Categorical Data/4. Statistical Estimation within Categories.mp4 100.6 MB
~Get Your Files Here !/2. Visualizing Statistical Relationships/3. Line Plots Part 1.mp4 95.0 MB
~Get Your Files Here !/2. Visualizing Statistical Relationships/4. Line Plots Part 2.mp4 90.9 MB
~Get Your Files Here !/3. Plotting with Categorical Data/6. Pointplot Examples.mp4 89.1 MB
~Get Your Files Here !/3. Plotting with Categorical Data/2. Categorical Scatterplots.mp4 87.5 MB
~Get Your Files Here !/3. Plotting with Categorical Data/3. Distributions of Observations within Categories.mp4 87.2 MB
~Get Your Files Here !/3. Plotting with Categorical Data/11. Stripplot Examples.mp4 86.9 MB
~Get Your Files Here !/2. Visualizing Statistical Relationships/1. Scatter Plot Part 1.mp4 86.5 MB
~Get Your Files Here !/3. Plotting with Categorical Data/12. Catplot Examples.mp4 82.3 MB
~Get Your Files Here !/2. Visualizing Statistical Relationships/2. Scatter Plot Part 2.mp4 81.2 MB
~Get Your Files Here !/3. Plotting with Categorical Data/8. Violenplot Examples.mp4 75.5 MB
~Get Your Files Here !/3. Plotting with Categorical Data/10. Swarmplot Examples.mp4 68.8 MB
~Get Your Files Here !/3. Plotting with Categorical Data/5. Countplot Examples.mp4 63.2 MB
~Get Your Files Here !/3. Plotting with Categorical Data/1. Showing Multiple Relationships with Facets.mp4 55.1 MB
~Get Your Files Here !/1. Introduction/1. Introduction of Seaborn.mp4 4.8 MB
~Get Your Files Here !/2. Visualizing Statistical Relationships/1. Scatter Plot Part 1.srt 11.4 kB
~Get Your Files Here !/3. Plotting with Categorical Data/7. Boxenplot Examples.srt 10.1 kB
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~Get Your Files Here !/7. Adding the Data/5. Creating the Bar Chart.mp4 184.8 MB
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~Get Your Files Here !/7. Adding the Data/3. Creating the Legend.mp4 98.3 MB
~Get Your Files Here !/7. Adding the Data/1. Creating the Dataset API Endpoints.mp4 83.5 MB
~Get Your Files Here !/7. Adding the Data/2. Displaying Data on the Map.mp4 72.9 MB
~Get Your Files Here !/5. Writing the GeoDjango Back-end Code/5. Creating the GeoAdmin and Testing the Spatial Back-end.mp4 65.0 MB
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~Get Your Files Here !/6. Building the Front-End using Leaflet.js/6. Creating the Index View.mp4 47.3 MB
~Get Your Files Here !/2. Setup and Installations/2. Installing PostgreSQL and PostGIS on Windows.mp4 46.3 MB
~Get Your Files Here !/5. Writing the GeoDjango Back-end Code/1. Adding the settings.py Code.mp4 39.9 MB
~Get Your Files Here !/7. Adding the Data/4. Creating the Bar Chart Legend.mp4 36.7 MB
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~Get Your Files Here !/4. Building a GeoDjango Application/1. Creating a Python Virtual Environment.mp4 28.6 MB
~Get Your Files Here !/6. Building the Front-End using Leaflet.js/1. Adding the Leaflet Config Code.mp4 27.3 MB
~Get Your Files Here !/6. Building the Front-End using Leaflet.js/5. Creating the Index Page.mp4 25.3 MB
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