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【影视】 [GigaCourse.com] Udemy - Advanced Data Science Techniques in SPSS

收录时间:2021-03-30 文档个数:104 文档大小:953.7 MB 最近下载:2025-04-26 人气:30 磁力链接

01 Getting Started/001 Introduction.mp4 47.8 MB
06 Growing Binary Trees (CART) in SPSS/045 Using Binary Trees for Future Predictions.mp4 36.1 MB
04 K Nearest Neighbor in SPSS/027 Interpreting the results of the KNN analysis.mp4 30.4 MB
06 Growing Binary Trees (CART) in SPSS/042 Interpreting the CART Classification Tree.mp4 29.7 MB
11 Two-Step Cluster Analysis/067 Interpreting the Output of the Two-Step Cluster Analysis (2).mp4 26.3 MB
02 Advanced Linear Regression Techniques/005 Interpreting the Results of the Stepwise Method.mp4 25.9 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/047 Interpreting a CHAID Regression Tree.mp4 21.8 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/052 Using Non-Binary Trees for Future Predictions.mp4 21.4 MB
04 K Nearest Neighbor in SPSS/030 Using the KNN Model for Future Predictions.mp4 21.3 MB
07 Growing Non-Binary Trees (CHAID) in SPSS/050 Interpreting a CHAID Classification Tree.mp4 21.1 MB
09 Training a Multilayer Perceptron (MLP) in SPSS/058 Interpreting the Multilayer Perceptron.mp4 20.5 MB
06 Growing Binary Trees (CART) in SPSS/036 Intepreting a Binary Regression Tree (1).mp4 19.7 MB
03 Nonlinear Regression Analysis/015 Performing a Quadratic Regression in SPSS (1).mp4 19.5 MB
06 Growing Binary Trees (CART) in SPSS/041 Growing a CART Classification Tree in SPSS.mp4 18.4 MB
11 Two-Step Cluster Analysis/066 Interpreting the Output of the Two-Step Cluster Analysis (1).mp4 18.1 MB
12 Survival Analysis/077 Executing the Cox Regression.mp4 16.5 MB
02 Advanced Linear Regression Techniques/007 Interpreting the Results of the Forward Selection Method.mp4 14.7 MB
04 K Nearest Neighbor in SPSS/026 Performing the KNN technique.mp4 14.5 MB
05 Introduction to Decision Trees/031 What Are Decision Trees.mp4 14.3 MB
03 Nonlinear Regression Analysis/017 Performing a Cubic Regression in SPSS (1).mp4 14.1 MB

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【影视】 [FreeCourseLab.com] Udemy - Data Science Natural Language Processing (NLP) in Python

收录时间:2021-06-13 文档个数:125 文档大小:1.9 GB 最近下载:2024-02-15 人气:30 磁力链接

10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Machine Learning Basics Review/3. (Review) Classification in Code.mp4 146.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Latent Semantic Analysis/2. SVD - The underlying math behind LSA.mp4 82.0 MB
4. Build your own sentiment analyzer/7. How to Improve Sentiment Analysis & FAQ.mp4 81.5 MB
9. Machine Learning Basics Review/2. (Review) What is Classification.mp4 74.1 MB
9. Machine Learning Basics Review/5. (Review) Regression in Code.mp4 72.7 MB
9. Machine Learning Basics Review/9. (Review) Comparing Different Machine Learning Models.mp4 56.2 MB
9. Machine Learning Basics Review/4. (Review) What is Regression.mp4 52.0 MB
9. Machine Learning Basics Review/4. (Review) What is Regression.vtt 52.0 MB
9. Machine Learning Basics Review/1. (Review) Machine Learning Section Introduction.mp4 47.1 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
4. Build your own sentiment analyzer/5. Sentiment Analysis in Python using Logistic Regression.mp4 45.7 MB
9. Machine Learning Basics Review/10. (Review) Machine Learning and Deep Learning Future Topics.mp4 42.8 MB
3. Build your own spam detector/4. Naive Bayes Concepts.mp4 41.6 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Machine Learning Basics Review/6. (Review) What is a Feature Vector.mp4 39.8 MB
10. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
7. Write your own article spinner/2. More about Language Models.mp4 38.4 MB

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