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【影视】 [Tutorialsplanet.NET] Udemy - Practical Machine Learning by Example in Python

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4. Foundations NumPy/6. Linear Regression Example.mp4 67.8 MB
2. Python Quick Start/12. Classes.mp4 65.5 MB
7. Foundations Pandas/2. Loading and inspecting data example.mp4 61.9 MB
3. Example Logistic Regression/3. Data analysis.mp4 61.8 MB
9. Example Sentiment Analysis/11. Transfer Learning Example.mp4 60.6 MB
6. Example Image recognition/14. Hyperparameter tuning example.mp4 55.0 MB
2. Python Quick Start/3. String formatting.mp4 54.9 MB
4. Foundations NumPy/5. Introduction to Linear Regression.mp4 54.8 MB
6. Example Image recognition/8. Model training.mp4 52.7 MB
10. Example Fraud detection/9. Making predictions.mp4 51.8 MB
3. Example Logistic Regression/8. Gradient descent.mp4 48.5 MB
9. Example Sentiment Analysis/5. Data Preparation.mp4 46.5 MB
8. Example Recommendations/8. Model definition.mp4 44.3 MB
10. Example Fraud detection/2. Data analysis.mp4 43.8 MB
3. Example Logistic Regression/12. Making predictions.mp4 42.3 MB
7. Foundations Pandas/5. Sorting and transforming data example.mp4 41.8 MB
9. Example Sentiment Analysis/12. Fine Tuning and Prediction.mp4 41.5 MB
6. Example Image recognition/2. Data analysis.mp4 40.2 MB
3. Example Logistic Regression/6. The forward function.mp4 39.7 MB
8. Example Recommendations/5. Data preparation.mp4 37.9 MB

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【影视】 Hurlbut Academy - Learning To Light Night Exteriors

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01_Moonlight Blue/Part 02_The Setup (DIY)/Part 02_The Setup (DIY).pdf 15.5 MB
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【影视】 [self-learning] Курс по T-SQL Путь программиста от новичка к профессионалу Уровень 5 (2021)

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06_Урок 3.mp4 163.7 MB
02_Урок 1.mp4 138.4 MB
04_Урок 2.mp4 70.2 MB
01_Введение.mp4 26.0 MB
06_Урок 3-1.pdf 9.3 MB
07_Урок 3-2.pdf 8.4 MB
02_Урок 1.pdf 7.9 MB
04_Урок 2.pdf 6.6 MB
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【影视】 [GigaCourse.com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.srt 39.7 MB
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6. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.srt 31.5 MB
6. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.8 MB
6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
4. Random Forest/6. Connection to Deep Learning Dropout.srt 19.9 MB
5. AdaBoost/4. AdaBoost Implementation.srt 19.4 MB
4. Random Forest/1. Random Forest Algorithm.srt 17.7 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 15.5 MB

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[ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip 2.6 GB

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【影视】 [FreeCoursesOnline.Me] AWS Certified Machine Learning – Specialty 2019

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07 Algorithms/014 Algorithms Lab.mp4 205.5 MB
08 Evaluation and Optimization/007 Evaluation and Optimization Lab.mp4 172.3 MB
09 Implementation and Operations/009 Implementation and Operations Lab.mp4 172.1 MB
05 Data Analysis and Visualization/009 Data Analysis and Visualization Lab.mp4 157.2 MB
06 Modeling/007 Modeling Lab.mp4 151.0 MB
03 Streaming Data Collection/008 Streaming Data Collection Lab.mp4 131.6 MB
04 Data Preparation/011 Data Preparation Lab.mp4 109.0 MB
01 Introduction/003 About This Course.mp4 88.5 MB
01 Introduction/002 About The Exam.mp4 65.0 MB
04 Data Preparation/004 Text Feature Engineering.mp4 61.4 MB
02 Data Collection/004 Machine Learning Data Terminology.mp4 60.0 MB
04 Data Preparation/009 Helper Tools.mp4 56.0 MB
07 Algorithms/002 OPTIONAL - Why do we call them Algorithms.mp4 52.1 MB
06 Modeling/004 SageMaker Modeling.mp4 51.2 MB
07 Algorithms/003 Concepts.mp4 49.6 MB
07 Algorithms/004 Regression.mp4 48.5 MB
03 Streaming Data Collection/003 Kinesis Data Streams.mp4 47.8 MB
08 Evaluation and Optimization/004 Evaluating Model Accuracy.mp4 47.2 MB
09 Implementation and Operations/006 Security.mp4 45.7 MB
09 Implementation and Operations/002 Concepts.mp4 45.2 MB

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【影视】 [DesireCourse.Net] Udemy - The Machine Learning Course 2020

收录时间:2021-05-28 文档个数:16 文档大小:312.7 MB 最近下载:2025-05-08 人气:352 磁力链接

3. Machine Learning Tutorial - Lecture Three.mp4 74.1 MB
4. Machine Learning Tutorial - Lecture Four.mp4 63.3 MB
1. Machine Learning Tutorial - Lecture One.mp4 62.1 MB
5. Machine Learning Tutorial - Lecture Five.mp4 59.3 MB
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【影视】 [DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course

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2. Machine Learning using R/4. Complete Machine Learning Course.mp4 944.4 MB
2. Machine Learning using R/8. Random Forest Tutorial.mp4 540.0 MB
2. Machine Learning using R/10. Sentiment Analysis in R.mp4 422.8 MB
2. Machine Learning using R/5. Machine Learning Algorithms.mp4 393.4 MB
3. Machine Learning using Python/2. Logistic Regression in Python.mp4 382.6 MB
3. Machine Learning using Python/9. Reinforcement Learning.mp4 345.4 MB
3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 331.5 MB
2. Machine Learning using R/3. Machine Learning with R Machine.mp4 315.6 MB
2. Machine Learning using R/11. Data Mining using R.mp4 313.8 MB
3. Machine Learning using Python/6. Time Series Analysis.mp4 283.2 MB
2. Machine Learning using R/9. Support Vector.mp4 231.4 MB
3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 212.5 MB
3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 211.7 MB
3. Machine Learning using Python/12. Machine Learning Projects.mp4 208.7 MB
3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 208.0 MB
2. Machine Learning using R/6. Linear Regression Algorithm.mp4 196.0 MB
2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 159.8 MB
3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 149.5 MB
2. Machine Learning using R/13. Boosting Machine Learning.mp4 146.7 MB
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【影视】 [FreeCourseSite.com] 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
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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
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