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Combo.4.Modulos.Machine.Learning.Com.Python

  • 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
[磁力链接] 添加时间:2023-12-18 大小:66.1 GB 最近下载:2025-05-01 热度:213

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/177 - Examine feature map activations.mp4 432.2 MB
  • 22 - Style transfer/205 - Transferring the screaming bathtub.mp4 361.5 MB
  • 19 - Understand and design CNNs/176 - Classify Gaussian blurs.mp4 293.3 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/218 - CodeChallenge sine wave extrapolation.mp4 272.5 MB
  • 18 - Convolution and transformations/163 - Convolution in code.mp4 270.8 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/217 - Predicting alternating sequences.mp4 259.1 MB
  • 26 - Where to go from here/229 - How to read academic DL papers.mp4 232.8 MB
  • 19 - Understand and design CNNs/184 - The EMNIST dataset letter recognition.mp4 230.7 MB
  • 19 - Understand and design CNNs/174 - CNN to classify MNIST digits.mp4 228.4 MB
  • 24 - RNNs Recurrent Neural Networks and GRULSTM/222 - Lorem ipsum.mp4 226.2 MB
  • 7 - ANNs Artificial Neural Networks/52 - Multioutput ANN iris dataset.mp4 225.5 MB
  • 23 - Generative adversarial networks/210 - CNN GAN with Gaussians.mp4 224.6 MB
  • 21 - Transfer learning/200 - Pretraining with autoencoders.mp4 218.8 MB
  • 19 - Understand and design CNNs/180 - Do autoencoders clean Gaussians.mp4 216.1 MB
  • 9 - Regularization/72 - Dropout regularization in practice.mp4 211.2 MB
  • 21 - Transfer learning/198 - Transfer learning with ResNet18.mp4 210.9 MB
  • 16 - Autoencoders/157 - Autoencoder with tied weights.mp4 210.4 MB
  • 7 - ANNs Artificial Neural Networks/47 - ANN for classifying qwerties.mp4 205.8 MB
  • 10 - Metaparameters activations optimizers/82 - The wine quality dataset.mp4 203.8 MB
  • 18 - Convolution and transformations/171 - Image transforms.mp4 202.3 MB
[磁力链接] 添加时间:2023-12-18 大小:25.4 GB 最近下载:2025-10-27 热度:5814

GetFreeCourses.Co-Udemy-Python & Machine Learning for Financial Analysis

  • 18 - Predict Stocks Future Prices Using Machine and Deep Learning/013 Task 12.mp4 237.5 MB
  • 15 - Asset Allocation and Statistical Data Analysis/005 Task 4.mp4 205.8 MB
  • 14 - Stocks Data Analysis and Visualization in Python/003 Task 2.mp4 171.5 MB
  • 20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/008 Task 7.mp4 170.6 MB
  • 12 - Python 101 Data Visualization with Seaborn/002 Data Visualization with Seaborn - Part #1.mp4 166.8 MB
  • 16 - Capital Asset Pricing Model (CAPM)/002 Task 1.mp4 156.0 MB
  • 20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/006 Task 5.mp4 153.0 MB
  • 15 - Asset Allocation and Statistical Data Analysis/002 Task 1.mp4 149.4 MB
  • 01 - Course Introduction, Success Tips and Key Learning Outcomes/002 Introduction, Success Tips & Best Practices and Key Learning Outcomes.mp4 144.0 MB
  • 01 - Course Introduction, Success Tips and Key Learning Outcomes/003 Course Outline and Key Learning Outcomes.mp4 139.9 MB
  • 03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/006 Get User Input.mp4 139.3 MB
  • 18 - Predict Stocks Future Prices Using Machine and Deep Learning/003 Task 2.mp4 136.7 MB
  • 12 - Python 101 Data Visualization with Seaborn/003 Data Visualization with Seaborn - Part #2.mp4 135.0 MB
  • 18 - Predict Stocks Future Prices Using Machine and Deep Learning/011 Task 10.mp4 133.3 MB
  • 10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/002 Pandas Introduction to Pandas and DataFrames.mp4 132.2 MB
  • 19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/004 Visualize data.mp4 131.5 MB
  • 18 - Predict Stocks Future Prices Using Machine and Deep Learning/005 Task 4.mp4 129.5 MB
  • 10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/007 Mergingjoiningconcatenation.mp4 128.3 MB
  • 19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/003 Import libraries and datasets.mp4 125.6 MB
  • 20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/007 Task 6.mp4 124.9 MB
[磁力链接] 添加时间:2023-12-18 大小:8.9 GB 最近下载:2025-10-26 热度:1754

GetFreeCourses.Co-Udemy-Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 28. A Machine Learning-powered Strategy A-Z (DNN)/13. Implementation (Oanda & FXCM).mp4 117.9 MB
  • 6. Excursus How to avoid and debug Coding Errors (don´t skip!)/11. How to traceback more complex Errors.mp4 101.5 MB
  • 7. Trading with Python and OANDAFXCM - an Introduction/10. OANDA How to place Orders and execute Trades.mp4 89.6 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/17. Trade Monitoring and Reporting.mp4 88.7 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/56. Customization of Plots.mp4 88.2 MB
  • 15. Defining and Backtesting SMA Strategies/4. Finding the optimal SMA Strategy.mp4 86.8 MB
  • 11. Financial Data Analysis with Pandas - an Introduction/12. Importing Financial Data from Excel.mp4 84.6 MB
  • 13. Object Oriented Programming (OOP) Creating a Financial Analysis Class/12. Inheritance.mp4 82.7 MB
  • 20. Advanced Backtesting Techniques/13. Adding the Iterative Backtest Child Class for SMA (Part 2).mp4 82.2 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/34. Slicing Rows and Columns with loc (label-based indexing).mp4 81.3 MB
  • 15. Defining and Backtesting SMA Strategies/5. Generalization with OOP An SMA Backtesting Class in action.mp4 77.2 MB
  • 22. Implementation and Automation with OANDA (UPDATED!)/4. Historical Data, real-time Data and Orders (Recap).mp4 76.3 MB
  • 10. Introduction to Time Series Data in Pandas/4. Downsampling Time Series with resample().mp4 75.7 MB
  • 24. Cloud Deployment (AWS) Scheduling Trading Sessions Full Automation/4. How to create an EC2 Instance.mp4 75.3 MB
  • 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/61. Categorical Seaborn Plots.mp4 74.2 MB
  • 17. Defining and Backtesting Mean-Reversion Strategies (Bollinger)/4. Defining a Bollinger Bands Mean-Reversion Strategy (Part 2).mp4 74.1 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/7. Margin and Leverage.mp4 74.0 MB
  • 3. Day Trading with OANDA A-Z a Deep Dive/6. Trading Costs and Performance Attribution.mp4 72.9 MB
  • 27. Working with two or many Strategies (Combination)/8. Strategy Optimization.mp4 71.9 MB
  • 12. Advanced Topics/2. Filling NA Values with bfill, ffill and interpolation.mp4 71.7 MB
[磁力链接] 添加时间:2023-12-18 大小:13.8 GB 最近下载:2025-10-26 热度:6729

tutsgalaxy.-com-udemy-deep-learning-prerequisites-linear-regression-in-python

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
[磁力链接] 添加时间:2023-12-17 大小:1.3 GB 最近下载:2025-09-04 热度:204

Kurs Machine Learning w Python - wprowadzenie do sztucznej inteligencji - strefakursow.pl.7z

  • Kurs Machine Learning w Python - wprowadzenie do sztucznej inteligencji - strefakursow.pl.7z 933.1 MB
[磁力链接] 添加时间:2023-12-17 大小:933.1 MB 最近下载:2025-10-26 热度:1464

[FreeCourseSite.com] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

  • 30 - A Machine Learning-powered Strategy A-Z (DNN)/013 Implementation (Oanda & FXCM).mp4 104.0 MB
  • 32 - Adding Stop Loss and Take Profit to the Trading Bot/014 IBKR How to create Stop Loss and Take Profit Orders.mp4 94.1 MB
  • 08 - API Trading with Python and Online Brokers- an Introduction/019 IBKR Creating Orders (Stock Trading).mp4 90.8 MB
  • 23 - Implementation and Automation with OANDA (UPDATED!)/017 Trade Monitoring and Reporting.mp4 85.6 MB
  • 03 - Day Trading with OANDA A-Z a Deep Dive/001 OANDA at a first glance.mp4 85.5 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/004 Initial Inspection and Visualization.mp4 82.3 MB
  • 14 - Object Oriented Programming (OOP) Creating a Financial Analysis Class/012 Inheritance.mp4 79.9 MB
  • 24 - Implementation and Automation with IBKR/010 Trade Monitoring and Reporting.mp4 79.6 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/003 Loading Financial Data from the Web.mp4 78.0 MB
  • 06 - Installing Python and Jupyter Notebooks/003 How to open Jupyter Notebooks.mp4 77.2 MB
  • 32 - Adding Stop Loss and Take Profit to the Trading Bot/011 Oanda Adding Stop Loss & Take Profit.mp4 75.3 MB
  • 20 - Trading Strategies powered by Machine Learning - Classification/007 Generalization with OOP A Classification Backtesting Class in action.mp4 72.7 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/021 (Non-) Normality of Financial Returns.mp4 72.5 MB
  • 07 - Excursus How to avoid and debug Coding Errors (don´t skip!)/011 How to traceback more complex Errors.mp4 71.5 MB
  • 04 - Stocks and FOREX Trading with Interactive Brokers (IBKR)/008 Trading Costs (Stocks) - Commissions.mp4 70.8 MB
  • 03 - Day Trading with OANDA A-Z a Deep Dive/008 Margin and Leverage.mp4 70.7 MB
  • 12 - Financial Data Analysis with Python and Pandas - a (deep) Introduction/020 Comparing the Performance of Financial Instruments.mp4 70.7 MB
  • 36 - Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course/056 Customization of Plots.mp4 69.1 MB
  • 23 - Implementation and Automation with OANDA (UPDATED!)/004 Historical Data, real-time Data and Orders (Recap).mp4 66.5 MB
  • 08 - API Trading with Python and Online Brokers- an Introduction/017 IBKR Contracts (advanced).mp4 65.0 MB
[磁力链接] 添加时间:2023-12-17 大小:12.7 GB 最近下载:2025-10-27 热度:9778

[ DevCourseWeb.com ] Udemy - Pure Python Accelerator - Rapid Learning for Quick Results

  • ~Get Your Files Here !/9. To Do App - Use All You Have Learned Until Now!/2. How Does the To-do App Work.mp4 69.0 MB
  • ~Get Your Files Here !/12. Comprehension in Python Filtering and Mapping Lists, Tuples, Sets and Dicts/3. Filtering a List by Using List Comprehension.mp4 62.4 MB
  • ~Get Your Files Here !/9. To Do App - Use All You Have Learned Until Now!/7. Implementing the delete_task() Function.mp4 61.3 MB
  • ~Get Your Files Here !/9. To Do App - Use All You Have Learned Until Now!/5. Implementing the show_tasks() Function.mp4 53.6 MB
  • ~Get Your Files Here !/3. Data Types/9. Type Casting.mp4 48.2 MB
  • ~Get Your Files Here !/9. To Do App - Use All You Have Learned Until Now!/3. Implementing the Main Structure Of the To-do App.mp4 44.4 MB
  • ~Get Your Files Here !/16. Task Management System Leverage Your Python Programming Skills All in One/10. Testing the Task Management System.mp4 43.3 MB
  • ~Get Your Files Here !/4. Operators in Python/7. Comparison Operators.mp4 43.1 MB
  • ~Get Your Files Here !/9. To Do App - Use All You Have Learned Until Now!/6. Implementing the edit_task() Function.mp4 40.2 MB
  • ~Get Your Files Here !/8. Loops in Python/3. The for Loop in Python.mp4 40.1 MB
  • ~Get Your Files Here !/16. Task Management System Leverage Your Python Programming Skills All in One/9. Put it All Together!.mp4 35.0 MB
  • ~Get Your Files Here !/4. Operators in Python/5. Operator Precedence.mp4 34.4 MB
  • ~Get Your Files Here !/2. Variables and Basic Python Concepts/3. Console Magic Unleashing the Power of Python's Print Function.mp4 34.3 MB
  • ~Get Your Files Here !/3. Data Types/6. String Bulti-In Functions.mp4 33.8 MB
  • ~Get Your Files Here !/8. Loops in Python/5. Infinite Loop.mp4 31.1 MB
  • ~Get Your Files Here !/4. Operators in Python/9. Boolean Operators.mp4 30.8 MB
  • ~Get Your Files Here !/16. Task Management System Leverage Your Python Programming Skills All in One/2. How Does the Task Management System Work.mp4 30.2 MB
  • ~Get Your Files Here !/11. Data Structures in Python - Sets/2. How Does a Set Work in Python.mp4 28.6 MB
  • ~Get Your Files Here !/10. Data Structures in Python - Tuples/2. Tuples vs Lists.mp4 28.3 MB
  • ~Get Your Files Here !/10. Data Structures in Python - Tuples/5. Advantages of Tuples Over Lists.mp4 27.6 MB
[磁力链接] 添加时间:2023-12-17 大小:2.0 GB 最近下载:2025-10-26 热度:2080

Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek - Videopoint.pl.zip

  • Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek - Videopoint.pl.zip 3.0 GB
[磁力链接] 添加时间:2023-12-17 大小:3.0 GB 最近下载:2025-10-26 热度:776

[GigaCourse.Com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2023-12-17 大小:17.2 GB 最近下载:2025-07-29 热度:3563

[GigaCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python V2

  • 9 - Setting Up Your Environment FAQ by Student Request/45 - Anaconda Environment Setup.mp4 323.3 MB
  • 8 - Machine Learning Basics/36 - Classification in Code.mp4 217.9 MB
  • 9 - Setting Up Your Environment FAQ by Student Request/46 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.7 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • 11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/49 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • 7 - Beginner Troubleshooting/33 - What if I dont meet the math prerequisites.mp4 121.2 MB
  • 10 - Extra Help With Python Coding for Beginners FAQ by Student Request/48 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • 2 - Numpy New/9 - Generating Data.mp4 90.7 MB
  • 8 - Machine Learning Basics/38 - Regression in Code.mp4 81.0 MB
  • 8 - Machine Learning Basics/35 - What is Classification.mp4 76.3 MB
  • 12 - Appendix FAQ Finale/51 - BONUS.mp4 63.8 MB
  • 1 - Welcome and Logistics/1 - Introduction and Outline.mp4 63.4 MB
  • 2 - Numpy New/4 - Arrays vs Lists.mp4 45.4 MB
  • 3 - Matplotlib New/19 - Where to Learn More Matplotlib.mp4 44.3 MB
  • 2 - Numpy New/12 - Suggestion Box.mp4 41.6 MB
  • 8 - Machine Learning Basics/39 - What is a Feature Vector.mp4 40.4 MB
  • 8 - Machine Learning Basics/42 - Comparing Different Machine Learning Models.mp4 40.4 MB
  • 2 - Numpy New/7 - Matrices.mp4 36.5 MB
  • 8 - Machine Learning Basics/37 - What is Regression.mp4 36.4 MB
  • 8 - Machine Learning Basics/34 - Machine Learning Section Introduction.mp4 35.7 MB
[磁力链接] 添加时间:2023-12-17 大小:2.4 GB 最近下载:2025-10-26 热度:2427

Unsupervised Learning with Python StepbyStep Tutorial

  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/40 - Manifold Learning in Practice Part 2.mp4 226.5 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/20 - Case Study KMeans and Wholesale Data.mp4 212.0 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/21 - Case Study KMeans and Wholesale Data Continued.mp4 211.4 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/26 - Agglomerative Clustering Finding Natural Hierarchies Part 2.mp4 195.9 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/25 - Agglomerative Clustering Finding Natural Hierarchies Part 1.mp4 182.3 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/6 - Understanding and Implementing the Apriori Algorithm.mp4 172.1 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/29 - Gaussian Mixture Models.mp4 166.0 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/19 - Evaluate Clustering Results.mp4 165.7 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/44 - Deep Learning and Visualization Autoencoders and tSNE Part 2.mp4 160.7 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/31 - Topic Modeling Overview Part 2.mp4 159.9 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/18 - Clustering Algorithm in Practice.mp4 157.7 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/27 - DensityBased Clustering DBSCAN and HDBSCAN Part 1.mp4 147.4 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/9 - Unsupervised Learning and the Curse of Dimensionality.mp4 145.9 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/5 - The Apriori Algorithm Preparing the Data.mp4 140.4 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/23 - Alternatives to KMeans Clustering Part 1.mp4 136.3 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/35 - Topic Modeling Running the Models Part 2.mp4 132.6 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/36 - Topic Modeling Evaluating and Visualizing Results.mp4 129.9 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/42 - Visualize HighDimensional Data tSNE and UMAP Part 2.mp4 126.2 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/1 - HandsOn Unsupervised Learning with Python/17 - Clustering Key Concepts.mp4 121.3 MB
  • [TutsNode.net] - Unsupervised Learning with Python StepbyStep Tutorial/2 - Mastering Unsupervised Learning with Python/24 - Alternatives to KMeans Clustering Part 2.mp4 120.2 MB
[磁力链接] 添加时间:2023-12-17 大小:5.8 GB 最近下载:2025-10-23 热度:6897

[FreeCourseSite.com] Udemy - Complete Data Science & Machine Learning A-Z with Python

  • 42. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • 42. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 44. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 43. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • 41. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 41. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.8 MB
  • 1. Installations/5. Installing Anaconda Distribution for Linux.mp4 120.3 MB
  • 21. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 46. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • 27. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 44. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 48. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.0 MB
  • 25. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • 22. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 25. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 50. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 14. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2023-12-17 大小:11.3 GB 最近下载:2025-10-26 热度:5694

[FreeCourseSite.com] Udemy - Python-Introduction to Data Science and Machine learning A-Z

  • 1. Introduction/2. What is Data Science.mp4 275.7 MB
  • 8. Machine Learning/2. Presentation of Different algorithms.mp4 255.0 MB
  • 2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4 202.3 MB
  • 2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4 180.5 MB
  • 8. Machine Learning/4. Machine learning algorithms part 2.mp4 170.4 MB
  • 8. Machine Learning/1. Introduction to machine learning.mp4 138.4 MB
  • 2. Basic Statstics knowledge/1. The Basics of Data.mp4 130.4 MB
  • 2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4 122.9 MB
  • 2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4 120.4 MB
  • 2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4 115.4 MB
  • 1. Introduction/1. Introduction.mp4 106.6 MB
  • 4. Python library Pandas/1. The Basics of Pandas.mp4 93.3 MB
  • 3. Python library NumPy/1. Introduction to Numpy.mp4 87.5 MB
  • 6. Python library Matplotlib/1. Introduction to Matplotlib.mp4 73.8 MB
  • 7. Python library Seaborn/1. Introduction to Seaborn.mp4 69.9 MB
  • 2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4 69.5 MB
  • 8. Machine Learning/5. Machine learning algorithms part 3.mp4 66.6 MB
  • 5. Python library Scipy/1. The Basics of SciPy.mp4 65.8 MB
  • 6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4 64.6 MB
  • 7. Python library Seaborn/3. Seaborn operations part 1.mp4 56.3 MB
[磁力链接] 添加时间:2023-12-17 大小:3.4 GB 最近下载:2025-10-24 热度:5951

[ DevCourseWeb.com ] Udemy - Complete Machine Learning and Data Science with Python A-Z

  • ~Get Your Files Here !/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 128.6 MB
  • ~Get Your Files Here !/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 125.6 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.1 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm with Python Part 4.mp4 94.4 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/3. Logistic Regression Algorithm with Python Part 2.mp4 85.4 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/2. Linear Regression Algorithm With Python Part 1.mp4 79.9 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/2. Logistic Regression Algorithm with Python Part 1.mp4 75.7 MB
  • ~Get Your Files Here !/5. Linear Regression Algorithm in Machine Learning A-Z/4. Linear Regression Algorithm with Python Part 3.mp4 73.7 MB
  • ~Get Your Files Here !/9. K Nearest Neighbors Algorithm in Machine Learning A-Z/3. K Nearest Neighbors Algorithm with Python Part 2.mp4 62.3 MB
  • ~Get Your Files Here !/2. Installations for Python/2. Installing Anaconda Distribution for MacOs.mp4 60.7 MB
  • ~Get Your Files Here !/6. Bias Variance Trade-Off in Machine Learning/1. What is Bias Variance Trade-Off.mp4 57.7 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/3. Decision Tree Algorithm with Python Part 2.mp4 51.3 MB
  • ~Get Your Files Here !/10. Hyperparameter Optimization/2. Hyperparameter Optimization with Python.mp4 49.8 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/4. Support Vector Machine Algorithm with Python Part 3.mp4 49.7 MB
  • ~Get Your Files Here !/7. Logistic Regression Algorithm in Machine Learning A-Z/5. Logistic Regression Algorithm with Python Part 4.mp4 49.5 MB
  • ~Get Your Files Here !/3. Evaluation Metrics in Machine Learning/3. Evaluating Performance Regression Error Metrics in Python.mp4 47.9 MB
  • ~Get Your Files Here !/11. Decision Tree Algorithm in Machine Learning A-Z/5. Decision Tree Algorithm with Python Part 4.mp4 44.5 MB
  • ~Get Your Files Here !/13. Support Vector Machine Algorithm in Machine Learning A-Z/3. Support Vector Machine Algorithm with Python Part 2.mp4 43.7 MB
[磁力链接] 添加时间:2023-12-17 大小:2.7 GB 最近下载:2025-10-17 热度:5279

[GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

  • 18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.2 MB
  • 3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
  • 16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
  • 9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
  • 7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
  • 3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
  • 6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
  • 16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
  • 17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
  • 11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
  • 18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.3 MB
  • 13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
  • 15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
  • 17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
  • 3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
  • 21. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.5 MB
  • 11. Text Summarization/4. Text Summarization in Python.mp4 81.9 MB
  • 6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
  • 17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.9 MB
[磁力链接] 添加时间:2023-12-17 大小:7.2 GB 最近下载:2025-09-27 热度:1044

[ DevCourseWeb.com ] Udemy - Machine Learning And Deep Learning Projects In Python

  • ~Get Your Files Here !/11 - Language Translation with Machine Learning/27 - Language Translation with Machine Learning.mp4 298.3 MB
  • ~Get Your Files Here !/13 - Hotel Recommendation System with Natural Language Processing NLP/Hotel_Reviews.csv 238.2 MB
  • ~Get Your Files Here !/12 - Covid19 Vaccine Sentiment Analysis/30 - Covid19 Vaccine Sentiment Analysis.mp4 201.9 MB
  • ~Get Your Files Here !/15 - Data Augmentation in Deep Learning and Neural Networks model/39 - Data Augmentation in Deep Learning and Neural Networks model.mp4 168.1 MB
  • ~Get Your Files Here !/20 - Credit Card Fraud Detection with Machine Learning/creditcard.csv 150.8 MB
  • ~Get Your Files Here !/19 - Resume Screening with Machine Learning/51 - Resume Screening with Machine Learning.mp4 138.0 MB
  • ~Get Your Files Here !/6 - Image Classification with Neural Networks/fashion-mnist_train.csv 133.0 MB
  • ~Get Your Files Here !/20 - Credit Card Fraud Detection with Machine Learning/54 - Credit Card Fraud Detection with Machine Learning.mp4 130.5 MB
  • ~Get Your Files Here !/18 - SMS Spam Detection with Machine Learning/48 - SMS Spam Detection with Machine Learning.mp4 130.2 MB
  • ~Get Your Files Here !/8 - Instagram Reach Analysis with Machine Learning/19 - Instagram Reach Analysis with Machine Learning.mp4 118.8 MB
  • ~Get Your Files Here !/1 - Introduction/1 - Introduction to Machine Learning.mp4 104.9 MB
  • ~Get Your Files Here !/13 - Hotel Recommendation System with Natural Language Processing NLP/33 - Hotel Recommendation System with NLP.mp4 102.4 MB
  • ~Get Your Files Here !/4 - Cryptocurrency Price Prediction with Machine Learning/8 - Cryptocurrency Price Prediction for the next 30 days.mp4 85.6 MB
  • ~Get Your Files Here !/21 - YouTube Trending Videos Analysis/57 - YouTube Trending Videos Analysis.mp4 74.7 MB
  • ~Get Your Files Here !/5 - Stock Price Prediction with LSTM Neural Network/10 - Stock Price Prediction with LSTM Neural Network.mp4 61.6 MB
  • ~Get Your Files Here !/14 - Email Spam Detection with Natural Language Processing NLP/36 - Email Spam Detection with NLP.mp4 61.4 MB
  • ~Get Your Files Here !/2 - Waiter Tips Prediction with Machine Learning/3 - Waiter Tips Prediction with Machine Learning.mp4 58.3 MB
  • ~Get Your Files Here !/10 - Gold Price Prediction with Machine Learning/24 - Gold Price Prediction with Machine Learning.mp4 57.5 MB
  • ~Get Your Files Here !/9 - Mobile Price Classification with Machine Learning/22 - Mobile Price Classification with Machine Learning.mp4 55.6 MB
  • ~Get Your Files Here !/21 - YouTube Trending Videos Analysis/USvideos.csv 53.4 MB
[磁力链接] 添加时间:2023-12-17 大小:2.9 GB 最近下载:2025-10-20 热度:10076

Python & Machine Learning for Financial Analysis

  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/013 Task 12.mp4 237.5 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/15 - Asset Allocation and Statistical Data Analysis/005 Task 4.mp4 205.8 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/14 - Stocks Data Analysis and Visualization in Python/003 Task 2.mp4 171.5 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/008 Task 7.mp4 170.6 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/12 - Python 101 Data Visualization with Seaborn/002 Data Visualization with Seaborn - Part #1.mp4 166.8 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/16 - Capital Asset Pricing Model (CAPM)/002 Task 1.mp4 156.0 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/006 Task 5.mp4 153.0 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/15 - Asset Allocation and Statistical Data Analysis/002 Task 1.mp4 149.4 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/002 Introduction, Success Tips & Best Practices and Key Learning Outcomes.mp4 144.0 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/003 Course Outline and Key Learning Outcomes.mp4 139.9 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/006 Get User Input.mp4 139.3 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/003 Task 2.mp4 136.7 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/12 - Python 101 Data Visualization with Seaborn/003 Data Visualization with Seaborn - Part #2.mp4 135.0 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/011 Task 10.mp4 133.3 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/002 Pandas Introduction to Pandas and DataFrames.mp4 132.2 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/004 Visualize data.mp4 131.5 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/005 Task 4.mp4 129.5 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/007 Mergingjoiningconcatenation.mp4 128.3 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/003 Import libraries and datasets.mp4 125.6 MB
  • [TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/007 Task 6.mp4 124.9 MB
[磁力链接] 添加时间:2022-05-16 大小:8.9 GB 最近下载:2025-10-14 热度:3402

[ DevCourseWeb.com ] Udemy - Python for Deep Learning - Build Neural Networks in Python

  • ~Get Your Files Here !/10. Implementation of CNN in Python/3. Building the CNN model.mp4 49.9 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/8. One-hot encoding using scikit-learn.mp4 39.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/7. Label encoding using scikit-learn.mp4 29.4 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/9. Training and Test Sets Splitting Data.mp4 27.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/17. Predicting the test set results.mp4 27.2 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/12. Adding the input layer and the first hidden layer.mp4 24.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/10. Feature scaling.mp4 24.6 MB
  • ~Get Your Files Here !/7. Summary Overview of Neural Networks/1. How artificial neural networks work.mp4 24.4 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/6. Splitting the dataset into independent and dependent variables.mp4 23.9 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/16. Fitting the ANN model to the training set.mp4 23.5 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/1. Introduction.mp4 22.0 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/15. Compiling the artificial neural network.mp4 20.6 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/11. Building the Artificial Neural Network.mp4 16.7 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/4. Data Pre-processing.mp4 14.3 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/14. Adding the output layer.mp4 12.8 MB
  • ~Get Your Files Here !/9. Convolutional Neural Networks (CNN)/3. Convolution Layer.mp4 12.6 MB
  • ~Get Your Files Here !/1. Introduction to Deep Learning/1. What is a Deep Learning .mp4 12.2 MB
  • ~Get Your Files Here !/2. Artificial Neural Networks (ANN)/3. An introduction to the neural network.mp4 12.1 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/2. Exploring the dataset.mp4 12.0 MB
  • ~Get Your Files Here !/8. Implementation of ANN in Python/13. Adding the next hidden layer.mp4 11.8 MB
[磁力链接] 添加时间:2022-05-12 大小:687.9 MB 最近下载:2025-10-22 热度:954

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.3 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
  • 6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
  • 6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Numpy (New)/3. Dot Product.mp4 27.6 MB
  • 1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
  • 2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
  • 4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
  • 5. Scipy (New)/3. Convolution.mp4 22.5 MB
  • 6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
  • 3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB
[磁力链接] 添加时间:2022-05-12 大小:1.2 GB 最近下载:2025-10-27 热度:744


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