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03 - Exploratory Data Analysis/021 Lab Preparing Data for TF-IDF with Spark and EMR, Part 3.mp4 125.6 MB
03 - Exploratory Data Analysis/020 Lab Preparing Data for TF-IDF with Spark and EMR, Part 2.mp4 103.7 MB
05 - Modeling, Part 2 Amazon SageMaker/027 SageMaker Canvas.mp4 83.4 MB
01 - Introduction/002 Course Introduction What to Expect.mp4 82.0 MB
02 - Data Engineering/011 Lab 1.2 - Kinesis Data Analytics.mp4 78.9 MB
08 - ML Implementation and Operations/012 Lab Tuning, Deploying, and Predicting with Tensorflow on SageMaker - Part 3.mp4 76.5 MB
03 - Exploratory Data Analysis/003 Example Preparing Data for Machine Learning in a Jupyter Notebook.mp4 76.5 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/003 Lab Tuning a Convolutional Neural Network on EC2, Part 2.mp4 76.3 MB
09 - Wrapping Up/003 Test-Taking Strategies, and What to Expect.mp4 75.6 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/002 Lab Tuning a Convolutional Neural Network on EC2, Part 1.mp4 60.8 MB
05 - Modeling, Part 2 Amazon SageMaker/019 Reinforcement Learning in SageMaker.mp4 56.3 MB
03 - Exploratory Data Analysis/014 Imputing Missing Data.mp4 55.9 MB
05 - Modeling, Part 2 Amazon SageMaker/001 Introducing Amazon SageMaker.mp4 53.8 MB
06 - Modeling, Part 3 High-Level ML Services/005 Amazon Rekognition.mp4 53.0 MB
08 - ML Implementation and Operations/002 SageMaker's Inner Details and Production Variants.mp4 53.0 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/004 Convolutional Neural Networks.mp4 51.7 MB
06 - Modeling, Part 3 High-Level ML Services/008 Amazon Personalize.mp4 46.9 MB
07 - Modeling, Part 4 Wrapping up & Lab Activity/004 Lab Tuning a Convolutional Neural Network on EC2, Part 3.mp4 44.5 MB
04 - Modeling, Part 1 General Deep Learning and Machine Learning/001 Section Intro Modeling.mp4 42.3 MB
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41 - Kernel PCA/002 Kernel PCA in R.mp4 239.9 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
29 - Apriori/008 Apriori in R - Step 3.mp4 169.5 MB
20 - Naive Bayes/001 Bayes Theorem.mp4 152.7 MB
36 - Artificial Neural Networks/015 ANN in R - Step 1.mp4 139.2 MB
29 - Apriori/005 Apriori in Python - Step 4.mp4 122.4 MB
36 - Artificial Neural Networks/017 ANN in R - Step 3.mp4 121.3 MB
43 - Model Selection/002 Grid Search in Python.mp4 120.0 MB
37 - Convolutional Neural Networks/015 CNN in Python - FINAL DEMO!.mp4 117.5 MB
35 - -------------------- Part 8 Deep Learning --------------------/002 What is Deep Learning.mp4 107.9 MB
39 - Principal Component Analysis (PCA)/004 PCA in R - Step 1.mp4 105.5 MB
37 - Convolutional Neural Networks/011 CNN in Python - Step 2.mp4 104.9 MB
32 - Upper Confidence Bound (UCB)/012 Upper Confidence Bound in R - Step 3.mp4 103.8 MB
29 - Apriori/007 Apriori in R - Step 2.mp4 101.3 MB
32 - Upper Confidence Bound (UCB)/001 The Multi-Armed Bandit Problem.mp4 101.1 MB
40 - Linear Discriminant Analysis (LDA)/003 LDA in R.mp4 98.2 MB
37 - Convolutional Neural Networks/005 Step 2 - Pooling.mp4 91.7 MB
39 - Principal Component Analysis (PCA)/002 PCA in Python - Step 1.mp4 90.2 MB
37 - Convolutional Neural Networks/014 CNN in Python - Step 5.mp4 89.0 MB
36 - Artificial Neural Networks/011 ANN in Python - Step 2.mp4 88.6 MB

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23 - Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 219.4 MB
05 - Pandas/028 Pandas Project Exercise Solutions.mp4 180.9 MB
13 - Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 169.1 MB
08 - Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 144.1 MB
17 - Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
19 - Supervised Learning Capstone Project/003 Solution Walkthrough - Supervised Learning Project - Cohort Analysis.mp4 136.5 MB
05 - Pandas/026 Pandas Pivot Tables.mp4 135.4 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.1 MB
25 - PCA - Principal Component Analysis and Manifold Learning/007 PCA - Project Exercise Solution.mp4 125.3 MB
11 - Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
16 - Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.4 MB
23 - Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.6 MB
19 - Supervised Learning Capstone Project/004 Solution Walkthrough - Supervised Learning Project - Tree Models.mp4 119.8 MB
07 - Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.7 MB
08 - Data Analysis and Visualization Capstone Project Exercise/002 Capstone Project Solutions - Part One.mp4 116.0 MB
26 - Model Deployment/003 Model Persistence.mp4 115.1 MB
24 - DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
22 - K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.5 MB
08 - Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.3 MB
19 - Supervised Learning Capstone Project/002 Solution Walkthrough - Supervised Learning Project - Data and EDA.mp4 111.3 MB

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01. King.mp3 9.5 MB
05. Girls Against God.mp3 9.3 MB
08. Cassandra.mp3 9.1 MB
14. Morning Elvis.mp3 8.6 MB
02. Free.mp3 8.4 MB
06. Dream Girl Evil.mp3 8.3 MB
03. Choreomania.mp3 8.1 MB
11. My Love.mp3 8.1 MB
10. Daffodil.mp3 8.0 MB
covers/Booklet 02.jpg 7.4 MB
04. Back In Town.mp3 7.1 MB
covers/Booklet 01.jpg 5.7 MB
13. The Bomb.mp3 5.5 MB
09. Heaven Is Here.mp3 4.0 MB
covers/Digipack Inside.jpg 3.7 MB
covers/Digipack Front.jpg 3.0 MB
07. Prayer Factory.mp3 2.7 MB
12. Restraint.mp3 2.0 MB
covers/Back.jpg 1.7 MB
covers/CD.jpg 1.4 MB

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Albums/2015 - General Admission/13. All Night Long.mp3 17.2 MB
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EPs/2018 - BINGE [EP]/04 - RAP DEVIL.mp3 11.3 MB
Mixtapes/2010 - Lace Up/11. Been Through It All (feat. Cheri Dennis).mp3 11.2 MB
Albums/2012 - Lace Up (Deluxe Edition)/02. What I Do (feat. Bun B & Dubo).mp3 11.1 MB
Mixtapes/2010 - Lace Up/16. The Return.mp3 11.1 MB
Mixtapes/2013 - Black Flag (Deluxe Edition)/39 - Been Through It All.mp3 11.0 MB
Mixtapes/2013 - Black Flag (Deluxe Edition)/20 - The Return.mp3 11.0 MB
Albums/2012 - Lace Up (Deluxe Edition)/08. D3mons (feat. DMX).mp3 10.7 MB
Albums/2015 - General Admission/15. Round Here.mp3 10.7 MB
Albums/2017 - bloom/11 - Rehab.mp3 10.7 MB
Mixtapes/2011 - Rage Pack (Deluxe Edition)/25 - Fantasy (Digiraatii).mp3 10.5 MB
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06 - The Last One (feat. Evan Felker of Turnpike Troubadours).mp3 8.6 MB
01 - Two 6's Upside Down.mp3 8.5 MB
04 - Never Git Drunk No More (feat. Nikki Lane).mp3 8.3 MB
12 - Never Git Drunk No More (feat. Jaime Wyatt) (Live at Ryman Auditorium) (Bonus Track).mp3 8.0 MB
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06 - The Last One (feat. Evan Felker of Turnpike Troubadours).flac 46.7 MB
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13 - Where Trouble Is At (Live at Ryman Auditorium) (Bonus Track).flac 42.1 MB
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08 - Waters Are A'risin.flac 38.2 MB
07 - Cadillac, Cadillac.flac 37.2 MB
14 - Cadillac, Cadillac (feat. Sammy Amara of Broilers) (Bonus Track).flac 37.0 MB
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03 - Ten Times More.flac 29.2 MB
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4. Conceitos fundamentais de Machine Learning e AI/2. Prevendo preços de apartamentos usando Machine Learning/12. Comparando Modelos.mp4 824.4 MB
1. PYTHON STARTER/3. Fundamentos da Linguagem/22. Solução dos exercícios - Parte 2.mp4 824.3 MB
1. PYTHON STARTER/1. Lógica de Programação/3. Algoritmos 2.mp4 804.8 MB
4. Conceitos fundamentais de Machine Learning e AI/2. Prevendo preços de apartamentos usando Machine Learning/4. Análise exploratória dos dados.mp4 792.7 MB
1. PYTHON STARTER/4. Projetos - Calculadora e software de gestão/2. Resolução - Calculadora.mp4 772.2 MB
1. PYTHON STARTER/5. Gerenciamento de erros e Depuração de código/6. Projeto Papel pedra e Tesoura.mp4 756.7 MB
9. Unsupervised Learning/1. Os modelos de aprendizado não supervisionado/9. Gaussian Mixture Models na Prática.mp4 746.9 MB
4. Conceitos fundamentais de Machine Learning e AI/2. Prevendo preços de apartamentos usando Machine Learning/10. Treinando os primeiros modelos.mp4 744.7 MB
5. Matemática para Data Science e Machine Learning/3. Álgebra Linear/2. O surgimento da algebra linear.mp4 724.1 MB
1. PYTHON STARTER/1. Lógica de Programação/2. Algoritmos 1.mp4 665.1 MB
2. Analisando Dados com Pandas/1. Conceitos básicos de Pandas/14. Entrada e Saída de dados.mp4 652.4 MB
1. PYTHON STARTER/4. Projetos - Calculadora e software de gestão/5. Resolução - Software de gestão para locadora de carros - Pt2.mp4 651.2 MB
5. Matemática para Data Science e Machine Learning/2. Cálculo/1. O que são funções.mp4 650.6 MB
7. Abrindo a caixa preta Como os modelos aprendem/1. Como os modelos de Machine Learning aprendem/15 - Regressão Logística na Prática.mp4 624.3 MB
4. Conceitos fundamentais de Machine Learning e AI/1. Uma visão geral sobre Machine Learning e AI/7 - Conceitos Fundamentais de Machine Learning e Inteligência Artificial.mp4 604.8 MB
2. Analisando Dados com Pandas/1. Conceitos básicos de Pandas/4. Series.mp4 603.3 MB
4. Conceitos fundamentais de Machine Learning e AI/1. Uma visão geral sobre Machine Learning e AI/5 - Conceitos Fundamentais de Machine Learning e Inteligência Artificial.mp4 600.9 MB
2. Analisando Dados com Pandas/1. Conceitos básicos de Pandas/11. Merge, concat e Join.mp4 578.8 MB
4. Conceitos fundamentais de Machine Learning e AI/1. Uma visão geral sobre Machine Learning e AI/1 - Conceitos Fundamentais de Machine Learning e Inteligência Artificial.mp4 571.6 MB
1. PYTHON STARTER/4. Projetos - Calculadora e software de gestão/4. Resolução - Software de gestão para locadora de carros - Pt1.mp4 565.7 MB

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