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【影视】 Machine Learning 2021 Practical Regression Analysis in R

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[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/6. Lab Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
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[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/7. Non-Parametric Regression Analysis in R Random Forest, Decision Trees and more/2. Lab Decision Trees in R.mp4 54.5 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/4. Linear Regression Analysis for Supervised Machine Learning in R/1. Overview of Regression Analysis.mp4 51.6 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/1. Introduction to the course, Machine Learning & Regression Analysis/2. Introduction to Regression Analysis.mp4 51.5 MB
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[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/2. Software used in this course R-Studio and Introduction to R/6. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/5. Lab Generalized additive models in R.mp4 49.8 MB
[TutsNode.com] - Machine Learning 2021 Practical Regression Analysis in R/6. Non-Linear Regression Analysis in R Polynomial & Spline regression, GAMs/4. Lab Spline regression in R.mp4 49.2 MB
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2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
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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
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【影视】 [DesireCourse.Com] Udemy - Data Science and Machine Learning Bootcamp with R

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18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
15. Data Visualization with R/2. Histograms.mp4 47.8 MB
1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
12. R Programming Basics/8. Functions.mp4 36.8 MB
18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB