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【影视】 Complete Machine Learning & Data Science Bootcamp 2021

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[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
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[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
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[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
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【影视】 [FreeTutorials.Us] Udemy - Feature Engineering for Machine Learning

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13. Assembling a feature engineering pipeline/2. Regression pipeline.mp4 165.2 MB
13. Assembling a feature engineering pipeline/1. Classification pipeline.mp4 142.6 MB
4. Missing Data Imputation/8. Random sample imputation.mp4 107.6 MB
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4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4 92.4 MB
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8. Discretisation/11. Discretisation with decision trees using Scikit-learn.mp4 84.1 MB
8. Discretisation/3. Equal-width discretisation Demo.mp4 82.9 MB
6. Categorical Variable Encoding/17. Comparison of categorical variable encoding.mp4 82.3 MB
6. Categorical Variable Encoding/19. Rare label encoding Demo.mp4 72.8 MB
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6. Categorical Variable Encoding/7. Ordinal encoding Demo.mp4 60.3 MB
6. Categorical Variable Encoding/5. One hot encoding of top categories Demo.mp4 60.0 MB
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4. Missing Data Imputation/11. Arbitrary value imputation with Scikit-learn.mp4 54.7 MB
4. Missing Data Imputation/3. Mean or median imputation.mp4 54.7 MB
9. Outlier Handling/2. Outlier trimming.mp4 53.6 MB
4. Missing Data Imputation/6. Frequent category imputation.mp4 52.2 MB
7. Variable Transformation/2. Variable Transformation with Numpy and SciPy.mp4 51.8 MB

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【影视】 Machine Learning, Data Science and Deep Learning with Python

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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.srt 148.5 MB
10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB

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【影视】 [Linkedin Learning] [Parcours Pro] Devenir un développeur React

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6 - Créer un CRM avec React.js/04 - Créer le back-end/06 - Supprimer des contacts.mp4 27.5 MB
6 - Créer un CRM avec React.js/03 - Mettre en place le front-end/06 - Modifier le composant principal.mp4 24.9 MB
6 - Créer un CRM avec React.js/04 - Créer le back-end/03 - Lire des contacts.mp4 21.1 MB
6 - Créer un CRM avec React.js/03 - Mettre en place le front-end/03 - Créer un composant unique.mp4 21.1 MB
6 - Créer un CRM avec React.js/03 - Mettre en place le front-end/08 - Finaliser la création du composant formulaire.mp4 18.4 MB
6 - Créer un CRM avec React.js/04 - Créer le back-end/04 - Ajouter des contacts avec un formulaire.mp4 17.8 MB
5 - Node.js et Express Construire des API/04 - Mener les opérations CRUD/04 - Créer le POST.mp4 17.7 MB
6 - Créer un CRM avec React.js/03 - Mettre en place le front-end/07 - Créer le composant formulaire.mp4 16.7 MB
3 - L'essentiel de Node.js/02 - Découvrir Node.js/03 - Installer l'environnement Node.js et npm.mp4 15.4 MB
1 - L'essentiel de React.js/02 - Mettre en place les bases/05 - Utiliser ES6.mp4 14.6 MB
1 - L'essentiel de React.js/04 - Créer une application React/03 - Créer le composant initial.mp4 14.5 MB
5 - Node.js et Express Construire des API/02 - Effectuer la mise en place/04 - Installer MongoDB.mp4 14.4 MB
6 - Créer un CRM avec React.js/03 - Mettre en place le front-end/04 - Finaliser la création d'un composant unique.mp4 14.2 MB
2 - React.js Gérer les états d'application/03 - Découvrir Redux/07 - Tester le client.mp4 14.1 MB
6 - Créer un CRM avec React.js/04 - Créer le back-end/05 - Utiliser la fonction Add Contact.mp4 14.1 MB
3 - L'essentiel de Node.js/02 - Découvrir Node.js/09 - Configurer les variables d'environnement.mp4 13.8 MB
3 - L'essentiel de Node.js/03 - Appréhender les modules/05 - Connaître package.json.mp4 13.8 MB
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【影视】 [Tutorialsplanet.NET] Udemy - Machine Learning Regression Masterclass in Python

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4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 199.4 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 165.2 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 150.8 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 150.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 148.9 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 142.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 138.7 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 135.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 135.5 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 134.6 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 132.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 127.7 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 123.3 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 102.6 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 97.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 95.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 95.0 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 92.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 91.0 MB
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【影视】 [06-2020] complete-machine-learning-and-data-science-zero-to-mastery

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16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4 380.9 MB
05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 366.1 MB
09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 353.9 MB
09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4 338.8 MB
16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4 328.1 MB
09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4 326.6 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4 313.1 MB
09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4 298.5 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4 294.0 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4 280.0 MB
09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4 275.4 MB
05 Data Science Environment Setup/035 Mac Environment Setup.mp4 275.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4 272.4 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4 267.6 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4 267.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4 265.1 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4 264.9 MB
11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4 262.3 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4 256.6 MB
09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 254.4 MB

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【影视】 TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI

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[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/04 Binary Classification with Artificial Neural Networks/014 Step 2 - Binary Classification.mp4 177.1 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/005 Activation Function.mp4 164.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/10 Project 3_ CNN for Predicting the Bank Customer Satisfaction/037 CNN for Predicting the Bank Customer Satisfaction Part 2.mp4 149.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/073 Text Classification Part 2.mp4 146.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/03 Building the Artificial Neural Networks (ANNs)/009 Step 2 - Data Preprocessing.mp4 142.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/072 Text Classification Part 1.mp4 137.4 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/06 Building Convolutional Neural Networks (CNNs)/022 Building Convolutional Neural Network Step 3.mp4 134.8 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/056 Google Stock Price Prediction with RNN and LSTM Part 4.mp4 124.2 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/15 Project 6_ Google Stock Price Prediction with RNN and LSTM/053 Google Stock Price Prediction with RNN and LSTM Part 1.mp4 115.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/02 Introduction to Artificial Neural Networks (ANNs)/004 The Neuron.mp4 107.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/041 CNN for Credit Card Fraud Detection Part 2.mp4 106.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/068 Stop Words.mp4 103.3 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/09 Project 2_ CNN for Breast Cancer Detection/033 CNN for Breast Cancer Detection Part 1.mp4 101.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/05 Introduction to Convolutional Neural Networks (CNNs)/018 Convolutional Neural Network Part 1.mp4 100.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/07 CNN for Binary Image Classification/027 CNN for Binary Image Classification Step 3.mp4 99.9 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/096 Matplotlib Part 4.mp4 95.6 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/11 Project 4_ CNN for Credit Card Fraud Detection/042 CNN for Credit Card Fraud Detection Part 3.mp4 95.5 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/20 Annex 3_ Data Visualization with Matplotlib/091 Matplotlib Part 1 - Functional Method.mp4 95.0 MB
[TutsNode.com] - TensorFlow 2.0 Masterclass Hands-On Deep Learning and AI/17 Natural Language Processing/065 Tokenization.mp4 91.0 MB
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05-Getting.Around.the.Database/03.Create.a.data.entry.form.mp4 26.2 MB
06-Report.Layout/02.Understand.report.structure.mp4 23.9 MB
04-Form.and.Report.Controls/08.Select.data.with.a.combo.box.mp4 21.8 MB
05-Getting.Around.the.Database/04.Finalize.the.customer.form.mp4 21.1 MB
04-Form.and.Report.Controls/16.Display.a.chart.mp4 20.1 MB
05-Getting.Around.the.Database/01.Create.a.main.menu.mp4 19.5 MB
07-Linking.Forms.and.Reports.-.Creating.a.Profit.Summary/05.Connect.the.form.mp4 19.3 MB
03-Form.Design.Basics.-.Creating.an.Employee.Directory/03.Object.alignment.mp4 19.2 MB
03-Form.Design.Basics.-.Creating.an.Employee.Directory/05.Modify.form.properties.mp4 18.5 MB
03-Form.Design.Basics.-.Creating.an.Employee.Directory/01.Organize.the.form.elements.mp4 18.4 MB
06-Report.Layout/09.Create.calculation.fields.mp4 17.6 MB
04-Form.and.Report.Controls/01.Label.control.mp4 17.3 MB
03-Form.Design.Basics.-.Creating.an.Employee.Directory/02.Format.objects.and.the.Format.Painter.mp4 17.0 MB
06-Report.Layout/06.Format.the.report.in.Design.view.mp4 16.9 MB
07-Linking.Forms.and.Reports.-.Creating.a.Profit.Summary/02.Create.the.report.structure.mp4 16.8 MB
03-Form.Design.Basics.-.Creating.an.Employee.Directory/08.Add.a.form.header.mp4 16.7 MB
06-Report.Layout/01.Organize.records.with.group.and.sort.mp4 16.5 MB
04-Form.and.Report.Controls/14.Embed.a.subform.control.mp4 16.0 MB
06-Report.Layout/05.Build.a.report.from.a.query.mp4 15.8 MB
07-Linking.Forms.and.Reports.-.Creating.a.Profit.Summary/03.Add.data.to.the.report.part.1.mp4 15.8 MB

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收录时间:2021-06-02 文档个数:1 文档大小:426.5 MB 最近下载:2024-10-30 人气:9 磁力链接

Lily.Larimar.and.Jazmin.Luv.Learning.To.Love.Yourself.lesbian.mp4 426.5 MB

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Advanced Computer Vision (GANs, SSD, +More!)

收录时间:2021-06-02 文档个数:184 文档大小:2.5 GB 最近下载:2025-05-12 人气:731 磁力链接

11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
7. Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
10. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 95.5 MB
5. Object Detection (SSD RetinaNet)/9. Using Pretrained RetinaNet.mp4 92.5 MB
8. GANs (Generative Adversarial Networks)/3. GAN Code.mp4 86.3 MB
10. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
11. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Object Localization Project/16. Localization Code (pt 7).mp4 80.9 MB
10. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
9. Object Localization Project/1. Localization Introduction and Outline.mp4 66.0 MB
5. Object Detection (SSD RetinaNet)/12. RetinaNet with Custom Dataset (pt 3).mp4 64.8 MB
5. Object Detection (SSD RetinaNet)/11. RetinaNet with Custom Dataset (pt 2).mp4 63.5 MB
9. Object Localization Project/12. Localization Code (pt 5).mp4 62.8 MB
9. Object Localization Project/6. Localization Code (pt 2).mp4 61.5 MB
2. Review/4. Review of CNNs in Code.mp4 59.6 MB
9. Object Localization Project/14. Localization Code (pt 6).mp4 59.4 MB
9. Object Localization Project/4. Localization Code (pt 1).mp4 56.4 MB
7. Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB

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