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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
7. Machine Learning Basics/5. Regression in Code.mp4 64.9 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
7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Science, Deep Learning, & Machine Learning with Python

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01 Getting Started/001 Introduction-subtitle-en.srt 5.0 kB
01 Getting Started/001 Introduction.mp4 29.1 MB
01 Getting Started/002 [Activity] Getting What You Need-subtitle-en.srt 4.9 kB
01 Getting Started/002 [Activity] Getting What You Need.mp4 10.0 MB
01 Getting Started/003 [Activity] Installing Enthought Canopy-subtitle-en.srt 9.7 kB
01 Getting Started/003 [Activity] Installing Enthought Canopy.mp4 42.5 MB
01 Getting Started/004 Python Basics_ Part 1-subtitle-en.srt 34.5 kB
01 Getting Started/004 Python Basics_ Part 1.mp4 46.1 MB
01 Getting Started/005 [Activity] Python Basics_ Part 2-subtitle-en.srt 20.3 kB
01 Getting Started/005 [Activity] Python Basics_ Part 2.mp4 29.8 MB
01 Getting Started/006 Running Python Scripts-subtitle-en.srt 8.8 kB
01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
01 Getting Started/007 Introducing the Pandas Library-subtitle-en.srt 18.4 kB
01 Getting Started/007 Introducing the Pandas Library.mp4 45.4 MB
01 Getting Started/external_links.txt 142 Bytes
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data-subtitle-en.srt 15.8 kB
02 Statistics and Probability Refresher_ and Python Practise/008 Types of Data.mp4 35.8 MB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode-subtitle-en.srt 12.6 kB
02 Statistics and Probability Refresher_ and Python Practise/009 Mean_ Median_ Mode.mp4 29.5 MB
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【影视】 A Cloud Guru - MLS - AWS.Certified.Machine.Learning.Specialty.2019

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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.5 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 47.2 MB
09 Implementation and Operations/006 Security.mp4 45.7 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB
06 Modeling/005 SageMaker Training.mp4 40.9 MB
02 Data Collection/002 Concepts.mp4 38.9 MB

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~Get Your Files Here !/[3] 2. Retrieving Content/[2] Weather forecast using OpenWeatherMap.mp4 28.8 MB
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【影视】 [ DevCourseWeb.com ] Udemy - The Art Of Machine Learning 2022

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~Get Your Files Here !/02 - The Model/002 What makes up a machine learning model.mp4 176.3 MB
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【影视】 Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

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25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB

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【影视】 Criando Modelos de Machine Learning

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4. Conteúdo complementar/3. Prática Passo a passo de um algoritmo não supervisionado (K-Means) - Parte 2.mp4 65.8 MB
4. Conteúdo complementar/4. Prática Passo a passo de um algoritmo supervisionado (Linear Regression).mp4 64.4 MB
3. Criando o modelo/6. Prática Feature e Model selection.mp4 47.4 MB
1. Planejando o trabalho/8. Prática One hot encoding e dicas sobre transformações.mp4 46.4 MB
1. Planejando o trabalho/1. Introdução.mp4 46.2 MB
1. Planejando o trabalho/4. Prática Criando seu primeiro modelo em R.mp4 44.9 MB
3. Criando o modelo/10. Prática Ensemble com bagging e boosting.mp4 38.1 MB
3. Criando o modelo/8. Prática Otimização de modelos com grid e random search.mp4 29.7 MB
1. Planejando o trabalho/9. Data transformation.mp4 25.7 MB
1. Planejando o trabalho/5. Prática Criando seu primeiro modelo em Python.mp4 23.4 MB
3. Criando o modelo/1. Métricas para avaliação de modelos.mp4 22.4 MB
1. Planejando o trabalho/11. Preocupações com a variável resposta.mp4 15.1 MB
4. Conteúdo complementar/2. Prática Passo a passo de um algoritmo não supervisionado (K-Means) - Parte 1.mp4 14.6 MB
3. Criando o modelo/4. Prática Resampling, dividindo a base entre treino, validação e teste.mp4 13.7 MB
3. Criando o modelo/12. Prática Operacionalização do modelo.mp4 13.2 MB
3. Criando o modelo/3. Resampling, dividindo a base entre treino, validação e teste.mp4 13.2 MB
2. Explorando os dados/7. Trabalhando com classes desbalanceadas.mp4 11.7 MB
2. Explorando os dados/5. Tratamento de outliers.mp4 10.3 MB
3. Criando o modelo/7. Otimização de modelos com grid e random search.mp4 10.3 MB
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