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【影视】 [Tutorialsplanet.NET] Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS

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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

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【影视】 GetFreeCourses.Co-Udemy-Master statistics & machine learning - intuition, math, code

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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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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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【影视】 [Tutorialsplanet.NET] Udemy - Master statistics & machine learning - intuition, math, code

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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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【影视】 [FreeCourseSite.com] Udemy - Master statistics & machine learning - intuition, math, code

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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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【影视】 Combo.Cursos.de.Machine.Learning.com.R.Modulos.1.e.2

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6. Módulo 1 - Regressão Logística/2. Regressão logística (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. RegLogisticaTeoria.mp4 1.2 GB
15. Módulo 2 - PCA/1. Principal Component Analysis - PCA (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. PCAteoria.mp4 1.2 GB
18. Módulo 2 - AdaBoost/1. AdaBoost (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. ADAboostTeoria.mp4 1.1 GB
16. Módulo 2 - Random Forest/2. RandomForest (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. RandomForestTeoria.mp4 557.4 MB
8. Módulo 1 - KNN/1. KNN (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. KNN teoria.mp4 471.1 MB
20. Módulo 2 - Bagging/1. Bagging (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. BaggingTeoria.mp4 467.2 MB
1. Módulo 1 - Conceitos Básicos/3. Viés e Variância/1. Viés e Variância.mp4 464.8 MB
17. Módulo 2 - ExtraTrees/1. ExtraTrees (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. ETteoria.mp4 390.6 MB
1. Módulo 1 - Conceitos Básicos/4. Visão geral dos algoritmos de machine learning/1. Visão geral algoritmos ML.mp4 388.5 MB
2. Módulo 1 - Regressão Linear/1. Regressão linear (conceito + matemática o que o algoritmo faz debaixo dos panos)/1. A matemática do Gradiente Descendente & Regressão Linear (machine learning).mp4 382.1 MB
12. Módulo 1 - Testando seus conhecimentos/3. Solução do exercício prático final - Parte 2/1. 10_2_DesafioSol_2.mp4 327.2 MB
14. Módulo 2 - Aprendizado não supervisionado/3. Clustering K Means (encontrando o número ideal de clusters)/1. KmeansNumClusters.mp4 321.9 MB
10. Módulo 1 - Decision Trees/3. Decision Trees evitando overfitting/1. DToverfitting.mp4 306.2 MB
13. Módulo 2 - Dados missing com Regressão/1. Substituindo dados missing com um modelo de regressão (Teoria)/1. MissingRegressaoTeoria.mp4 274.1 MB
4. Módulo 1 - Outros modelos de regressão linear/3. Regularização L1, L2 e regressão Lasso/1. Regularização L1 L2.mp4 265.7 MB
3. Módulo 1 - Pré-processamento/3. Feature selection correlação (conceito)/1. NatiCorrelacao.mp4 237.7 MB
1. Módulo 1 - Conceitos Básicos/1. Como estudar esse curso/1. AberturaCurso.mp4 226.2 MB
3. Módulo 1 - Pré-processamento/1. Pré-processamento dados missing/1. Dados missing Nati_Pronto.mp4 204.3 MB
22. Módulo 2 - Testando seus conhecimentos/2. Solução do exercício prático final/1. ML_2_10_DESAFIOsol.mp4 183.1 MB
6. Módulo 1 - Regressão Logística/3. Regressão logística (aplicação prática em R resolvendo um problema)/1. 5_1_RegLog.mp4 177.3 MB

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【影视】 Legacy Learning Systems - Learn & Master - Rock Hits - Hal Leonard

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LM_ROCK_HITS_DISC_1/Jimi Hendrix - All Along the Watchtower.mp4 474.8 MB
LM_ROCK_HITS_DISC_1/Lenny Kravitz - American Woman.mp4 214.9 MB
LM_ROCK_HITS_DISC_1/Queen - We are the Champions.mp4 408.7 MB
LM_ROCK_HITS_DISC_1/The Troggs - Wild Thing.mp4 153.9 MB
LM_ROCK_HITS_DISC_1/Thumbs.db 30.2 kB
LM_ROCK_HITS_DISC_10/Black Sabbath - Paranoid.mp4 260.3 MB
LM_ROCK_HITS_DISC_10/Blue Oyster Cult - Don't Fear the Reaper.mp4 231.2 MB
LM_ROCK_HITS_DISC_10/Boston - Rock n' Roll Band.mp4 289.9 MB
LM_ROCK_HITS_DISC_10/Lynard Skynard - Sweet Home Alabama.mp4 388.4 MB
LM_ROCK_HITS_DISC_10/Thumbs.db 26.1 kB
LM_ROCK_HITS_DISC_2/Alice Cooper - School's Out.mp4 374.7 MB
LM_ROCK_HITS_DISC_2/Blue Oyster Cult - Burnin' For You.mp4 442.0 MB
LM_ROCK_HITS_DISC_2/Creedance Clearwater Revival - Proud Mary.mp4 200.3 MB
LM_ROCK_HITS_DISC_2/Kansas - Dust in the Wind.mp4 233.9 MB
LM_ROCK_HITS_DISC_2/Thumbs.db 30.2 kB
LM_ROCK_HITS_DISC_3/Steve Miller - Rock 'n Me.mp4 126.5 MB
LM_ROCK_HITS_DISC_3/Stevie Ray Vaughan - House is a Rockin'.mp4 191.9 MB
LM_ROCK_HITS_DISC_3/The Allman Brothers - Jessica.mp4 313.8 MB
LM_ROCK_HITS_DISC_3/Thumbs.db 26.1 kB
LM_ROCK_HITS_DISC_3/ZZ Top - La Grange.mp4 329.0 MB

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【影视】 Legacy Learning Systems - Learn & Master - Rock Hits - Hal Leonard

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LM_ROCK_HITS_DISC_1/Jimi Hendrix - All Along the Watchtower.mp4 474.8 MB
LM_ROCK_HITS_DISC_1/Lenny Kravitz - American Woman.mp4 214.9 MB
LM_ROCK_HITS_DISC_1/Queen - We are the Champions.mp4 408.7 MB
LM_ROCK_HITS_DISC_1/The Troggs - Wild Thing.mp4 153.9 MB
LM_ROCK_HITS_DISC_1/Thumbs.db 30.2 kB
LM_ROCK_HITS_DISC_10/Black Sabbath - Paranoid.mp4 260.3 MB
LM_ROCK_HITS_DISC_10/Blue Oyster Cult - Don't Fear the Reaper.mp4 231.2 MB
LM_ROCK_HITS_DISC_10/Boston - Rock n' Roll Band.mp4 289.9 MB
LM_ROCK_HITS_DISC_10/Lynard Skynard - Sweet Home Alabama.mp4 388.4 MB
LM_ROCK_HITS_DISC_10/Thumbs.db 26.1 kB
LM_ROCK_HITS_DISC_2/Alice Cooper - School's Out.mp4 374.7 MB
LM_ROCK_HITS_DISC_2/Blue Oyster Cult - Burnin' For You.mp4 442.0 MB
LM_ROCK_HITS_DISC_2/Creedance Clearwater Revival - Proud Mary.mp4 200.3 MB
LM_ROCK_HITS_DISC_2/Kansas - Dust in the Wind.mp4 233.9 MB
LM_ROCK_HITS_DISC_2/Thumbs.db 30.2 kB
LM_ROCK_HITS_DISC_3/Steve Miller - Rock 'n Me.mp4 126.5 MB
LM_ROCK_HITS_DISC_3/Stevie Ray Vaughan - House is a Rockin'.mp4 191.9 MB
LM_ROCK_HITS_DISC_3/The Allman Brothers - Jessica.mp4 313.8 MB
LM_ROCK_HITS_DISC_3/Thumbs.db 26.1 kB
LM_ROCK_HITS_DISC_3/ZZ Top - La Grange.mp4 329.0 MB

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【影视】 2021 Data Science & Machine Learning with R from A-Z Course

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[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/11. Web Scraping {rvest}.mp4 571.6 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/12. Exploratory Data Analysis/2. Hands-on Exploratory Data Analysis.mp4 490.5 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/11. Linear Regression A Simple Model/2. A Simple Model.mp4 458.1 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/9. Introduction to Machine Learning/2. Introduction to Machine Learning Part Two.mp4 447.8 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/4. Intermediate R/1. Intermedia R Section Introduction.mp4 441.4 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/13. Linear Regression - A Real Model/2. Linear Regression in R - Real Model.mp4 440.7 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/5. {dplyr} The Select Verb.mp4 372.2 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/10. Data Preprocessing/2. Data Preprocessing.mp4 366.9 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/14. Logistic Regression/1. Introduction to Logistic Regression.mp4 356.4 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/1. Data Manipulation Section Intro.mp4 330.7 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/14. Logistic Regression/2. Logistic Regression in R.mp4 324.7 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/13. Linear Regression - A Real Model/1. Linear Regression - Real Model Section Intro.mp4 309.3 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/9. Data Pivoting {tidyr}.mp4 307.7 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/3. Data Types and Structures in R/14. Data Frames Tibbles.mp4 302.6 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/4. Intermediate R/10. Functional Programming.mp4 294.9 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/6. Data Visualization in R/4. Single Variable Plots.mp4 289.4 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/10. String Manipulation {stringr}.mp4 269.5 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/5. Data Manipulation in R/6. {dplyr} The Mutate Verb.mp4 255.1 MB
[TutsNode.com] - 2021 Data Science & Machine Learning with R from A-Z Course/8. Building Webapps with R Shiny/3. Other Examples with R Shiny.mp4 244.7 MB
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【影视】 [GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

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26. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
36. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
17. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
25. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
25. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
22. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
26. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
26. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
33. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
24. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
37. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
36. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
26. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
36. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
22. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
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04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
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