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06 - Descriptive statistics/004 Code_ data from different distributions.mp4 317.8 MB
16 - Clustering and dimension-reduction/006 Code_ dbscan.mp4 302.1 MB
12 - Correlation/006 Code_ correlation matrix.mp4 296.2 MB
06 - Descriptive statistics/012 Code_ Computing dispersion.mp4 279.0 MB
18 - A real-world data journey/007 Python_ Import and clean the marriage data.mp4 262.0 MB
10 - The t-test family/013 Code_ permutation testing.mp4 252.6 MB
16 - Clustering and dimension-reduction/002 Code_ k-means clustering.mp4 241.5 MB
12 - Correlation/003 Code_ correlation coefficient.mp4 224.5 MB
10 - The t-test family/006 Code_ Two-samples t-test.mp4 221.6 MB
18 - A real-world data journey/003 MATLAB_ Import and clean the marriage data.mp4 211.1 MB
12 - Correlation/018 Code_ Kendall correlation.mp4 193.2 MB
16 - Clustering and dimension-reduction/011 Code_ PCA.mp4 183.6 MB
13 - Analysis of Variance (ANOVA)/008 Code_ One-way ANOVA (independent samples).mp4 181.1 MB
14 - Regression/009 Code_ Multiple regression.mp4 179.3 MB
08 - Probability theory/021 Code_ Law of Large Numbers in action.mp4 173.6 MB
10 - The t-test family/009 Code_ Signed-rank test.mp4 169.7 MB
10 - The t-test family/003 Code_ One-sample t-test.mp4 165.6 MB
08 - Probability theory/015 Code_ sampling variability.mp4 162.3 MB
08 - Probability theory/004 Code_ compute probabilities.mp4 155.6 MB
13 - Analysis of Variance (ANOVA)/001 ANOVA intro, part1.mp4 144.4 MB

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Python, Machine Learning and Algorithmic Trading Masterclass/6. Classes and Objects/4. Inheritance.mp4 264.9 MB
Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/5. Common Technical Indicators.mp4 234.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/13. Intro to Tensorflow and Machine Learning/8. Simple Linear Regression Model.mp4 218.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/16. Quantopian/15. Creating and Testing a Portfolio.mp4 196.1 MB
Python, Machine Learning and Algorithmic Trading Masterclass/8. Numpy Tutorials/8. Numpy Matrix Functions.mp4 196.1 MB
Python, Machine Learning and Algorithmic Trading Masterclass/10. PyPlot Tutorials/6. Customizind Graph Demo.mp4 185.8 MB
Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/6. Trading Strategies.mp4 183.7 MB
Python, Machine Learning and Algorithmic Trading Masterclass/10. PyPlot Tutorials/4. Plotting with PyPlot Demo.mp4 176.9 MB
Python, Machine Learning and Algorithmic Trading Masterclass/4. Control Flow/3. For Loops.mp4 173.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/8. Numpy Tutorials/6. Numpy Array functions.mp4 173.3 MB
Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/3. Buying and Selling.mp4 173.3 MB
Python, Machine Learning and Algorithmic Trading Masterclass/14. Simple Stock Market Prediciton/4. Creating Datasets.mp4 171.3 MB
Python, Machine Learning and Algorithmic Trading Masterclass/4. Control Flow/1. If Statements.mp4 171.2 MB
Python, Machine Learning and Algorithmic Trading Masterclass/16. Quantopian/11. Algorithm IDE Basics.mp4 154.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/13. Intro to Tensorflow and Machine Learning/2. Intro to Machine Learning.mp4 153.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/12. Technical Stock Analysis/2. Learn the Lingo.mp4 153.1 MB
Python, Machine Learning and Algorithmic Trading Masterclass/3. Collections/3. Dictionaries.mp4 145.3 MB
Python, Machine Learning and Algorithmic Trading Masterclass/3. Collections/1. Lists.mp4 140.4 MB
Python, Machine Learning and Algorithmic Trading Masterclass/9. Pandas Tutorials/11. Creating Dataframe Demo.mp4 138.6 MB
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6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4 168.7 MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4 113.8 MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4 40.9 MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4 40.2 MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4 39.5 MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4 38.8 MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4 38.7 MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4 38.3 MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4 36.3 MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4 33.3 MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4 33.1 MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4 32.5 MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4 32.4 MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4 32.1 MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4 31.4 MB
1.Working with Machine Learning/01.The Course Overview.mp4 25.4 MB
4.Logistic Regression Classify/12.Understanding Logistic Regression.mp4 25.2 MB
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Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 6.mp4 325.6 MB
Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 1.mp4 164.0 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 02 - Redes Neurais Artificiais/Aula 2.3. Funcionamento básico.mp4 161.6 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.3.mp4 154.1 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.1.mp4 138.1 MB
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Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.2.mp4 133.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.5.mp4 129.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.1.mp4 127.7 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.4.mp4 123.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.3.mp4 120.3 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.2.mp4 115.8 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.5.2.mp4 109.0 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 05 - Deep Learning - Parte I/Aula 5.2. Redes Neurais Convolucionais (CNN).mp4 108.9 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 01 - Introdução ao Deep Learning/Aula 1.2. Deep learning e aprendizado de máquina.mkv 108.7 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 03 - Modelos de redes neurais artificiais/Aula 3.3. Algoritmo de retropagação.mp4 105.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.1.mp4 102.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 4.2.mp4 101.6 MB
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