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411 Docker image for our Python services.mp4 156.1 MB
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
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17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
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24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 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 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
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11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
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13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
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24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 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 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
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23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
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13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
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11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 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 121.5 MB
23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
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12. Linear algebra/18. Linear algebra BUG HUNT!.mp4 129.6 MB
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11. Calculus/19. Calculus bug hunt!.mp4 109.7 MB
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7. Algebra 2/6. The quadratic equation.mp4 100.6 MB
13. Probabilities and histograms/6. Building distributions from random numbers.mp4 100.1 MB
14. Number theory/11. Number theory bug hunt!.mp4 97.7 MB
12. Linear algebra/12. Solving a system of equations.mp4 96.8 MB
6. Graphing and visualization/10. Making images from matrices.mp4 95.3 MB
12. Linear algebra/9. Various special matrices.mp4 94.6 MB
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6. Graphing and visualization/10. Making images from matrices.mp4 95.3 MB
12. Linear algebra/9. Various special matrices.mp4 94.6 MB
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7. Algebra 2/6. The quadratic equation.mp4 100.6 MB
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12. Linear algebra/12. Solving a system of equations.mp4 96.8 MB
6. Graphing and visualization/10. Making images from matrices.mp4 95.3 MB
12. Linear algebra/9. Various special matrices.mp4 94.6 MB
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3. Introduction to Sympy and LaTeX/4. Intro to Sympy, part 2.mp4 94.1 MB
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49. Challenge Problem 40 Epidemic Outbreak GUI App/4. Program Solution Part III.mp4 275.6 MB
48. Challenge Problem 39 Epidemic Outbreak Terminal App/3. Program Solution Part II.mp4 239.3 MB
43. Challenge Problem 35 Loan Calculator App/3. Program Solution Part II.mp4 228.9 MB
49. Challenge Problem 40 Epidemic Outbreak GUI App/5. Program Solution Part IV.mp4 225.2 MB
46. Challenge Problem 37 Casino Blackjack App/3. Program Solution Part II.mp4 224.9 MB
45. Challenge Problem 36 Pythonagachi Simulator App/3. Program Solution Part II.mp4 221.8 MB
47. Challenge Problem 38 Pykemon Simulator App/3. Program Solution Part II.mp4 212.5 MB
47. Challenge Problem 38 Pykemon Simulator App/6. Program Solution Part V.mp4 211.0 MB
46. Challenge Problem 37 Casino Blackjack App/2. Program Solution Part I.mp4 204.7 MB
40. Challenge Problem 32 Python Calculator App/2. Program Solution.mp4 202.9 MB
48. Challenge Problem 39 Epidemic Outbreak Terminal App/2. Program Solution Part I.mp4 191.8 MB
49. Challenge Problem 40 Epidemic Outbreak GUI App/3. Program Solution Part II.mp4 186.8 MB
47. Challenge Problem 38 Pykemon Simulator App/5. Program Solution Part IV.mp4 185.8 MB
45. Challenge Problem 36 Pythonagachi Simulator App/4. Program Solution Part III.mp4 185.7 MB
47. Challenge Problem 38 Pykemon Simulator App/4. Program Solution Part III.mp4 181.6 MB
36. Challenge Problem 29 Guess the Word App/2. Program Solution.mp4 180.5 MB
49. Challenge Problem 40 Epidemic Outbreak GUI App/2. Program Solution Part I.mp4 177.0 MB
43. Challenge Problem 35 Loan Calculator App/2. Program Solution Part I.mp4 174.0 MB
46. Challenge Problem 37 Casino Blackjack App/4. Program Solution Part III.mp4 172.8 MB
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7. Artificial Neural Networks e Deep Learning/11. Python Neural Networks na Prática.mp4 201.0 MB
7. Artificial Neural Networks e Deep Learning/13. Python Deep Learning na Prática - Parte II.mp4 159.4 MB
3. Estatística II/15. Python Regressão Linear Múltipla.mp4 145.9 MB
13. Fundamentos de Gestão de Projetos/4. Framwork Clássico (Waterfall) Parte I.mp4 138.0 MB
1. Introdução/3. Roteiro.mp4 136.6 MB
8. Grafos e Redes Sociais/20. Python Igraph - Introdução Parte III.mp4 127.5 MB
2. Estatística I/21. Distribuição Binomial - Parte II.mp4 125.9 MB
7. Artificial Neural Networks e Deep Learning/12. Python Deep Learning na Prática - Parte I.mp4 122.9 MB
6. Machine Learning/39. Python Agrupamento com K-medoids.mp4 118.7 MB
6. Machine Learning/20. Python Classificação na Prática com Naive Bayes Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/15. Python Aula Bônus Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/6. Deep Learning.mp4 115.6 MB
11. Liguagem SQL/5. Populando o Banco de Dados.mp4 112.2 MB
2. Estatística I/10. Python Amostragem Parte II.mp4 110.2 MB
11. Liguagem SQL/2. Introdução.mp4 109.7 MB
12. NoSQL e MongoDB/10. MongoDB na prática Parte III.mp4 109.0 MB
6. Machine Learning/19. Python Classificação na Prática com Naive Bayes - Parte I.mp4 107.7 MB
8. Grafos e Redes Sociais/25. Python Igraph - Comunidades e Clique.mp4 106.6 MB
11. Liguagem SQL/7. Principais Comandos Select Parte I.mp4 106.2 MB
5. Séries Temporais/12. Python Previsão - Parte II.mp4 105.5 MB
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7. Artificial Neural Networks e Deep Learning/11. Python Neural Networks na Prática.mp4 201.0 MB
7. Artificial Neural Networks e Deep Learning/13. Python Deep Learning na Prática - Parte II.mp4 159.4 MB
3. Estatística II/15. Python Regressão Linear Múltipla.mp4 145.9 MB
13. Fundamentos de Gestão de Projetos/4. Framwork Clássico (Waterfall) Parte I.mp4 138.0 MB
1. Introdução/3. Roteiro.mp4 136.6 MB
8. Grafos e Redes Sociais/20. Python Igraph - Introdução Parte III.mp4 127.5 MB
2. Estatística I/21. Distribuição Binomial - Parte II.mp4 125.9 MB
7. Artificial Neural Networks e Deep Learning/12. Python Deep Learning na Prática - Parte I.mp4 122.9 MB
6. Machine Learning/39. Python Agrupamento com K-medoids.mp4 118.7 MB
6. Machine Learning/20. Python Classificação na Prática com Naive Bayes Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/15. Python Aula Bônus Parte II.mp4 116.9 MB
7. Artificial Neural Networks e Deep Learning/6. Deep Learning.mp4 115.6 MB
11. Liguagem SQL/5. Populando o Banco de Dados.mp4 112.2 MB
2. Estatística I/10. Python Amostragem Parte II.mp4 110.2 MB
11. Liguagem SQL/2. Introdução.mp4 109.7 MB
12. NoSQL e MongoDB/10. MongoDB na prática Parte III.mp4 109.0 MB
6. Machine Learning/19. Python Classificação na Prática com Naive Bayes - Parte I.mp4 107.7 MB
8. Grafos e Redes Sociais/25. Python Igraph - Comunidades e Clique.mp4 106.6 MB
11. Liguagem SQL/7. Principais Comandos Select Parte I.mp4 106.2 MB
5. Séries Temporais/12. Python Previsão - Parte II.mp4 105.5 MB
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