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【影视】 [CourserHub.com] Coursera - Machine Learning Algorithms in the Real World Specialization

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data-machine-learning/01_what-does-good-data-look-like/01_know-your-problem/03_business-understanding-and-problem-discovery.mp4 51.4 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/01_lesson-1-definitions/04_what-is-artificial-intelligence-and-machine-learning.mp4 46.0 MB
data-machine-learning/01_what-does-good-data-look-like/02_know-your-data/01_data-acquisition-and-understanding.mp4 44.1 MB
data-machine-learning/02_preparing-your-data-for-machine-learning-success/01_consolidate-sources/01_data-warehousing.mp4 42.3 MB
data-machine-learning/01_what-does-good-data-look-like/02_know-your-data/04_features-and-transformations-of-raw-data.mp4 41.0 MB
machine-learning-applied/02_machine-learning-in-the-real-world/01_lesson-1-machines-are-different-from-humans/02_features-and-transformations-of-raw-data.mp4 41.0 MB
data-machine-learning/04_bad-data/01_accept-limitations/02_generalization-and-how-machines-actually-learn.mp4 39.3 MB
machine-learning-applied/02_machine-learning-in-the-real-world/01_lesson-1-machines-are-different-from-humans/01_generalization-and-how-machines-actually-learn.mp4 39.3 MB
machine-learning-classification-algorithms/01_classification-using-decision-trees-and-k-nn/03_k-nearest-neighbours/02_distance-measures.mp4 38.5 MB
data-machine-learning/03_feature-engineering-for-more-fun-profit/03_transfer-learning/01_transfer-learning.mp4 38.5 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/03_lesson-3-broader-machine-learning/03_reinforcement-learning.mp4 34.9 MB
machine-learning-classification-algorithms/01_classification-using-decision-trees-and-k-nn/03_k-nearest-neighbours/01_classification-using-k-nearest-neighbours.mp4 34.7 MB
data-machine-learning/03_feature-engineering-for-more-fun-profit/01_understanding-features/01_what-are-the-simplest-features-to-try.mp4 34.7 MB
data-machine-learning/04_bad-data/03_consequences-of-bad-data/02_live-data-danger.mp4 34.6 MB
machine-learning-classification-algorithms/03_regression-for-classification-support-vector-machines/01_models-with-transfer-functions/02_neural-networks.mp4 34.3 MB
machine-learning-applied/01_introduction-to-machine-learning-applications/01_lesson-1-definitions/06_the-machine-learning-process.mp4 33.7 MB
data-machine-learning/02_preparing-your-data-for-machine-learning-success/02_coordinate/01_everything-has-to-be-numbers.mp4 33.4 MB
data-machine-learning/01_what-does-good-data-look-like/01_know-your-problem/05_exploring-the-process-of-problem-definition.mp4 33.1 MB
machine-learning-applied/04_machine-learning-projects/02_lesson-2-getting-ready-to-model/01_exploring-the-process-of-problem-definition.mp4 33.1 MB
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【影视】 LinkedIn Learning - R Essential Training Wrangling and Visualizing Data [CoursesGhar]

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[2] 1. What Is R/[2] Data science with R A case study.mp4 34.2 MB
[3] 2. Getting Started/[6] Data types and structures.mp4 29.8 MB
[6] 5. Wrangling Data/[1] Creating tidy data.mp4 28.8 MB
[5] 4. Visualizing Data with ggplot2/[3] Using color palettes.mp4 28.5 MB
[7] 6. Recoding Data/[1] Recoding categorical data.mp4 26.4 MB
[5] 4. Visualizing Data with ggplot2/[4] Creating bar charts.mp4 25.2 MB
[5] 4. Visualizing Data with ggplot2/[9] Creating cluster charts.mp4 23.7 MB
[7] 6. Recoding Data/[3] Transforming outliers.mp4 22.7 MB
[6] 5. Wrangling Data/[10] Filtering cases and subgroups.mp4 21.9 MB
[7] 6. Recoding Data/[2] Recoding quantitative data.mp4 20.5 MB
[4] 3. Importing Data/[2] Exploring sample datasets with pacman.mp4 20.0 MB
[4] 3. Importing Data/[5] Importing JSON data.mp4 19.8 MB
[4] 3. Importing Data/[6] Saving data in native R formats.mp4 19.4 MB
[4] 3. Importing Data/[4] Importing XML data.mp4 18.6 MB
[6] 5. Wrangling Data/[6] Working with dates and times.mp4 18.6 MB
[3] 2. Getting Started/[5] Entering data.mp4 17.5 MB
[2] 1. What Is R/[1] R in context.mp4 17.5 MB
[3] 2. Getting Started/[4] Navigating the RStudio environment.mp4 17.4 MB
[3] 2. Getting Started/[8] Packages for R.mp4 17.2 MB
[6] 5. Wrangling Data/[9] Working with categorical variables.mp4 16.7 MB

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【影视】 Machine Learning From Basic to Advanced

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03 Regresssion/002 Multiple Linear Regression.mp4 307.7 MB
03 Regresssion/004 Support Vector Regression(SVR).mp4 162.6 MB
03 Regresssion/007 Logistic Regression.mp4 112.1 MB
01 Data Preprocessing/001 Data Preprocessing.mp4 109.1 MB
02 Classification/002 Support Vector Machine (SVM).mp4 106.6 MB
04 Clustering/001 K-Means Clustering.mp4 105.9 MB
03 Regresssion/001 Simple Linear Regression.mp4 105.9 MB
03 Regresssion/003 Polynomial Linear Regression.mp4 104.1 MB
04 Clustering/002 Hierarchical Clustering.mp4 102.7 MB
03 Regresssion/005 Decision Tree Regression.mp4 56.1 MB
02 Classification/001 K-Nearest Neighbour.mp4 49.5 MB
02 Classification/003 Kernel SVM.mp4 35.6 MB
03 Regresssion/006 Random Forest Regression.mp4 26.2 MB
02 Classification/005 Random Forest Classification.mp4 21.4 MB
02 Classification/004 Decision Tree Classification.mp4 20.4 MB
02 Classification/002 Social_Network_Ads.csv 10.9 kB
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【影视】 [ CourseMega.com ] Linkedin - Learning SAP Sales and Distribution (SD Module)

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~Get Your Files Here !/03 - 2. Master Data/05 - Create material master for sales MM01.mp4 12.5 MB
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【影视】 [ CourseLala.com ] Udemy - Machine Learning on R 2021

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~Get Your Files Here !/5. Gradient Boosting Theory and Application/2. Gradient Boosting Application in R.mp4 117.6 MB
~Get Your Files Here !/6. Support Vector Machine Theory and Application in R/2. Support Vector Machine Application in R.mp4 111.4 MB
~Get Your Files Here !/2. Naive Bayes Theory and Application/2. Naive Bayes Application in R.mp4 109.2 MB
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~Get Your Files Here !/4. Random Forest Theory and Application/2. Random Forest Application in R- Part 1.mp4 40.5 MB
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