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【压缩文件】 [ FreeCourseWeb.com ] Udemy - HOW to Focus for Golf when Learning, Practicing & Competing.zip

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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
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
[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
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
[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
[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
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[TutsNode.com] - Complete Machine Learning & Data Science Bootcamp 2021/12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 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
6. Categorical Variable Encoding/3. One-hot-encoding Demo.mp4 95.8 MB
4. Missing Data Imputation/10. Mean or median imputation with Scikit-learn.mp4 92.4 MB
4. Missing Data Imputation/15. Automatic determination of imputation method with Sklearn.mp4 84.3 MB
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
3. Variable Characteristics/5. Linear models assumptions.mp4 72.2 MB
6. Categorical Variable Encoding/11. Target guided ordinal encoding Demo.mp4 72.1 MB
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
12. Engineering datetime variables/2. Engineering dates Demo.mp4 56.6 MB
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
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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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【压缩文件】 LinkedIn (Lynda) - Learning PowerPoint Online (Office 365) - Feb 2019.rar

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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
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1 - L'essentiel de React.js/05 - Travailler avec des données dynamiques/05 - Passer des fonctions en propriétés.mp4 13.7 MB
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【影视】 [Tutorialsplanet.NET] Udemy - Machine Learning Regression Masterclass in Python

收录时间:2021-06-04 文档个数:156 文档大小:5.3 GB 最近下载:2025-05-15 人气:1274 磁力链接

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
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 89.9 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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【压缩文件】 Machine Learning A-Z Hands-On Python & R In Data Science

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Machine Learning A-Z Hands-On Python & R In Data Science/01 Welcome to the course/006 Machine-Learning-A-Z-New.zip 239.5 MB
Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/028 Splitting the dataset into the Training set and Test set.mp4 90.7 MB
Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/029 Feature Scaling.mp4 82.7 MB
Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/019 Encoding Categorical Data.mp4 81.0 MB
Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/016 Importing the Dataset.mp4 66.8 MB
Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/018 Taking care of Missing Data.mp4 64.0 MB
Machine Learning A-Z Hands-On Python & R In Data Science/03 Data Preprocessing in Python/021 Splitting the dataset into the Training set and Test set.mp4 61.8 MB
Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/027 Encoding Categorical Data.mp4 60.1 MB
Machine Learning A-Z Hands-On Python & R In Data Science/36 Kernel PCA/284 Kernel PCA in R.mp4 59.3 MB
Machine Learning A-Z Hands-On Python & R In Data Science/39 Kernel PCA/265 Kernel PCA in R.mp4 59.3 MB
Machine Learning A-Z Hands-On Python & R In Data Science/39 XGBoost/296 THANK YOU bonus video.mp4 54.8 MB
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Machine Learning A-Z Hands-On Python & R In Data Science/12 Logistic Regression/104 Logistic Regression in R - Step 5.mp4 54.2 MB
Machine Learning A-Z Hands-On Python & R In Data Science/15 Logistic Regression/101 Logistic Regression in R - Step 5.mp4 54.2 MB
Machine Learning A-Z Hands-On Python & R In Data Science/35 Linear Discriminant Analysis (LDA)/281 LDA in R.mp4 53.8 MB
Machine Learning A-Z Hands-On Python & R In Data Science/38 Linear Discriminant Analysis (LDA)/263 LDA in R.mp4 53.8 MB
Machine Learning A-Z Hands-On Python & R In Data Science/17 Decision Tree Classification/131 Decision Tree Classification in R.mp4 53.7 MB
Machine Learning A-Z Hands-On Python & R In Data Science/20 Decision Tree Classification/125 Decision Tree Classification in R.mp4 53.7 MB
Machine Learning A-Z Hands-On Python & R In Data Science/04 Data Preprocessing in R/030 Data Preprocessing Template.mp4 53.2 MB
Machine Learning A-Z Hands-On Python & R In Data Science/18 Random Forest Classification/135 Random Forest Classification in R.mp4 51.8 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
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【压缩文件】 [ CourseHulu.com ] Linkedin - Learning Google Cloud Storage.zip

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[ CourseHulu.com ] Linkedin - Learning Google Cloud Storage.zip 208.2 MB

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【音乐】 Lorraine Johnson - Learning To Dance All Over Again (1978) R-CD 1992

收录时间:2021-06-03 文档个数:8 文档大小:94.9 MB 最近下载:2025-05-13 人气:300 磁力链接

01. I'm Learning To Dance All Over Again.mp3 19.7 MB
02. Feed The Flame.mp3 19.6 MB
05. Feed The Flame (Remix).mp3 18.5 MB
06. Feed The Flame (Radio Edit).mp3 12.7 MB
04. Nobody's Wrong.mp3 12.1 MB
03. Who Do You Think You're Fooling.mp3 11.9 MB
front.jpg 208.1 kB
back.jpg 113.2 kB

猜你喜欢： Again 1992 Johnson 1978 Dance Over CD Lorraine Learning

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