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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Create Deep Learning Computer Vision Apps using Python 2020.zip

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[ FreeCourseWeb.com ] Udemy - Create Deep Learning Computer Vision Apps using Python 2020.zip 1.8 GB

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【影视】 [Tutorialsplanet.NET] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence

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18/2. Anaconda Environment Setup.mp4 189.7 MB
18/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB

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【影视】 [CourseClub.NET] Pluralsight - Deep Learning with Keras

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05.Building-Convolutional-NN-with-Keras/10.Transfer-Learning-Implementation.mp4 33.7 MB
05.Building-Convolutional-NN-with-Keras/08.Coding-Fashion-MNIST.mp4 27.3 MB
02.Creating-Your-First-Neural-Network-with-Keras/01.Installing-TensorFlow.mp4 22.0 MB
02.Creating-Your-First-Neural-Network-with-Keras/03.Creating-Your-First-Keras-Neural-Network.mp4 21.4 MB
03.Constructing-Models-in-Keras/03.Model-Features.mp4 20.9 MB
03.Constructing-Models-in-Keras/04.Converting-to-the-Functional-API.mp4 16.6 MB
06.Implementing-Recurrent-Neural-Nets-with-Keras/05.Coding-Sentiment-Analysis.mp4 15.8 MB
03.Constructing-Models-in-Keras/01.Coding-Complex-Data.mp4 10.1 MB
03.Constructing-Models-in-Keras/02.Estimating-Layers-and-Neurons.mp4 9.6 MB
07.Using-Specialty-Layers-and-Functions/03.Functional-API-Second-Look.mp4 9.0 MB
01.Introducing-Keras/02.Neural-Networks.mp4 8.5 MB
04.Employing-Layers-in-Keras-Models/05.Extension-Layers.mp4 7.9 MB
05.Building-Convolutional-NN-with-Keras/01.Why-Do-CNNs-Exists.mp4 7.8 MB
08.Last-Words/00.Last-Words.mp4 7.6 MB
05.Building-Convolutional-NN-with-Keras/06.Pool-Layer.mp4 7.5 MB
02.Creating-Your-First-Neural-Network-with-Keras/02.Installing-Keras.mp4 7.4 MB
05.Building-Convolutional-NN-with-Keras/07.Implementing-CNNs-in-Keras.mp4 6.5 MB
05.Building-Convolutional-NN-with-Keras/03.Convolution-Layer.mp4 6.5 MB
04.Employing-Layers-in-Keras-Models/04.Merging-Layers.mp4 5.7 MB
06.Implementing-Recurrent-Neural-Nets-with-Keras/01.RNN-Implementation.mp4 5.7 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning Projects - Recommendation system website.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning Projects - Recommendation system website.zip 1.8 GB

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【影视】 [ TutPig.com ] Udemy - Certified Western Dance Theory Culture and Practical Learning

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【影视】 [FreeCoursesOnline.Me] [LINKEDIN LEARNING] Get a Job in Marketing - [FCO]

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01.Introduction/01.01.Getting a job in marketing.mp4 26.8 MB
05.Interviewing Effectively/05.15.Preparing for an interview.mp4 19.0 MB
04.Applying for Jobs/04.10.Differentiate yourself to stand out.mp4 18.2 MB
06.Succeeding at a New Job/06.19.Ongoing career development.mp4 15.2 MB
03.Finding the Right Position/03.07.Search based on your interests.mp4 9.0 MB
07.Conclusion/07.20.Next steps.mp4 7.1 MB
04.Applying for Jobs/04.13.Fine-tune your resume.mp4 6.5 MB
04.Applying for Jobs/04.11.Develop a portfolio of work.mp4 6.4 MB
06.Succeeding at a New Job/06.18.The first 60 days.mp4 5.9 MB
02.Get Relevant Experience/02.05.Take online courses and get certified.mp4 5.8 MB
04.Applying for Jobs/04.14.Apply in a memorable way.mp4 5.8 MB
02.Get Relevant Experience/02.02.What are your career goals.mp4 5.7 MB
03.Finding the Right Position/03.09.Find companies you'd like to work at.mp4 5.6 MB
02.Get Relevant Experience/02.03.Get multiple internships.mp4 5.6 MB
02.Get Relevant Experience/02.06.Share your ideas on marketing.mp4 5.4 MB
03.Finding the Right Position/03.08.Review a mix of career sites.mp4 5.3 MB
04.Applying for Jobs/04.12.Polish your website and social media.mp4 5.2 MB
05.Interviewing Effectively/05.16.The interview.mp4 5.1 MB
05.Interviewing Effectively/05.17.After the interview.mp4 5.0 MB
02.Get Relevant Experience/02.04.Volunteer or freelance on a project.mp4 5.0 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning in R.zip

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[ FreeCourseWeb.com ] Udemy - Introduction to Machine Learning in R.zip 1.1 GB

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【影视】 GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science with Python A-Z

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4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
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【影视】 A deep understanding of deep learning (with Python intro)

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[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/009 Learning rates comparison.mp4 176.8 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/11 FFNs/003 FFN to classify digits.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/12 More on data/007 Data feature augmentation.mp4 166.0 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
[TutsNode.com] - A deep understanding of deep learning (with Python intro)/14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
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【压缩文件】 [ FreeCourseWeb.com ] The complete Machine Learning Data Science Course in Python (Updated).zip

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【影视】 [ DevCourseWeb.com ] Udemy - Learning Open Source GIS - Spatial SQL w - Postgres - PosGIS

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~Get Your Files Here !/02 - Section 2 Overview of SQL/001 The case for SQL.mp4 194.9 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/002 Boolean and Character data types.mp4 183.5 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/002 Aggregate and GROUP BY functions.mp4 178.5 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/001 SELECT Statements (and their variants).mp4 171.0 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/004 Spatial Commands - part 2 (D-U).mp4 168.9 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/001 Numeric data types.mp4 163.5 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/003 Spatial Commands - part 1 (A-C).mp4 162.7 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/004 Conditional statements with SQL CASE.mp4 126.6 MB
~Get Your Files Here !/04 - Section 4 Traditional SQL/003 Creating new data (UPDATE, INSERT, and DELETE functions).mp4 121.7 MB
~Get Your Files Here !/06 - Section 6 Geographic Models with Spatial SQL/001 Basic Problems in Geography.mp4 120.4 MB
~Get Your Files Here !/05 - Section 5 Spatial SQL/001 Coordinate Systems and SQL.mp4 115.4 MB
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~Get Your Files Here !/06 - Section 6 Geographic Models with Spatial SQL/003 The tools of spatial analysis Distance, adjacency, and Interaction.mp4 98.7 MB
~Get Your Files Here !/03 - Section 3 SQL Data Types/004 Spatial data types.mp4 95.8 MB
~Get Your Files Here !/07 - Real World Applications with Spatial SQL/001 Creating functions with Postgres and PostGIS.mp4 95.4 MB
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【影视】 [Udemy] Linux Shell Scripting_ A Project-Based Approach to Learning (2021) [En]

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04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/002 Positional Parameters, Arguments, for Loops, Special Parameters.mp4 458.3 MB
04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/001 Random Data, Cryptographic Hash Functions, Text and String Manipulation.mp4 421.8 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/001 Configuring a Mini Network and Scripting for Remote Systems.mp4 382.8 MB
06 Parsing Command Line Options – Shell Scripting Project 4/010 Deleting Users 8O Exercise 5 8O Walkthrough.mp4 365.3 MB
03 User and Account Creation - Shell Scripting Project 1/002 Getting Started with Shell Scripting_ Naming, Permissions, Variables, Builtins.mp4 311.3 MB
03 User and Account Creation - Shell Scripting Project 1/005 Reading Standard Input, Creating Accounts, Username Conventions, More Quoting.mp4 308.0 MB
02 Creating a Local Linux Shell Scripting Environment/006 Exercise 1 8O Walkthrough 8O Part II 8O All Users.mp4 303.9 MB
06 Parsing Command Line Options – Shell Scripting Project 4/002 Functions.mp4 289.1 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/003 Scripting Remote Commands 8O Walkthrough 8O Part 1.mp4 282.7 MB
05 Linux Programming Conventions - Shell Scripting Project 3/002 Advanced Standard Input, Standard Output, and Standard Error - Part II.mp4 278.6 MB
03 User and Account Creation - Shell Scripting Project 1/003 Special Variables, Pseudocode, Command Substitution, if Statement, Conditionals.mp4 268.5 MB
04 Password Generation and Shell Script Arguments - Shell Scripting Project 2/005 Exercise 3 - Walkthrough.mp4 245.5 MB
07 Transforming Data _ Data Processing _ Reporting – Shell Scripting Project 5/006 Sed.mp4 229.2 MB
03 User and Account Creation - Shell Scripting Project 1/007 Exercise 2 - Walkthrough.mp4 225.7 MB
06 Parsing Command Line Options – Shell Scripting Project 4/007 Deleting and Disabling Linux Accounts, Part 3 of 4 (Archives with tar).mp4 207.3 MB
08 Network Scripting & Automation of Distributed Systems_ Shell Scripting Project 6/004 Scripting Remote Commands 8O Walkthrough 8O Part 2.mp4 205.9 MB
06 Parsing Command Line Options – Shell Scripting Project 4/003 Parsing Command Line Options with getopts, Part 1.mp4 195.0 MB
06 Parsing Command Line Options – Shell Scripting Project 4/001 Case Statements.mp4 194.0 MB
07 Transforming Data _ Data Processing _ Reporting – Shell Scripting Project 5/003 Sort and Uniq.mp4 193.8 MB
06 Parsing Command Line Options – Shell Scripting Project 4/004 Parsing Command Line Options with getopts, Part 2.mp4 175.9 MB

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【影视】 [ TutPig.com ] Skillshare - Engaging Online Learning - Virtual Classroom Master Class

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~Get Your Files Here !/14. Practice Session in MS Teams.mp4 120.8 MB
~Get Your Files Here !/13. Practice Session in Google Meet.mp4 109.9 MB
~Get Your Files Here !/12. Technical Set up.mp4 86.2 MB
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~Get Your Files Here !/10. Presentation Slides Essentials.mp4 68.3 MB
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~Get Your Files Here !/03. Interactive Tools in the Virtual Classroom.mp4 64.4 MB
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~Get Your Files Here !/09. Interactive Tool #1.mp4 31.0 MB
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~Get Your Files Here !/04. Interactive Tools Outside the Virtual Classroom.mp4 22.6 MB
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【影视】 [FreeCourseSite.com] Udemy - Regression Analysis in R for Machine Learning & Data Science

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07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/005 Lab_ Machine Learning Models' Comparison & Best Model Selection.mp4 106.2 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/004 Lab_ Random Forest in R.mp4 105.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/002 Lab_ Polynomial regression in R.mp4 68.1 MB
05 More types of regression models/001 Lab_ Multiple linear regression - model estimation.mp4 63.1 MB
05 More types of regression models/005 ANOVA - Categorical variables with more than two levels in linear regressions.mp4 57.2 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/003 Your first linear regression model in R.mp4 55.9 MB
07 Non-Parametric Regression Analysis in R_ Random Forest, Decision Trees and more/002 Lab_ Decision Trees in R.mp4 54.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/001 Overview of Regression Analysis.mp4 51.5 MB
01 Introduction to the course, Machine Learning & Regression Analysis/002 Introduction to Regression Analysis.mp4 51.5 MB
03 R Crash Course - get started with R-programming in R-Studio/006 Lab_ data types and data structures in R.mp4 50.4 MB
02 Software used in this course R-Studio and Introduction to R/006 Lab_ Get started with R in RStudio.mp4 50.0 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/005 Lab_ Generalized additive models in R.mp4 49.8 MB
06 Non-Linear Regression Analysis in R_ Polynomial & Spline regression, GAMs/004 Lab_ Spline regression in R.mp4 49.2 MB
05 More types of regression models/003 Lab_ Multiple linear regression with interaction.mp4 46.7 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/006 Lab_ Linear Regression Diagnostics.mp4 45.3 MB
02 Software used in this course R-Studio and Introduction to R/004 Lab_ Install R and RStudio in 2020.mp4 40.6 MB
03 R Crash Course - get started with R-programming in R-Studio/007 Vectors' operations in R.mp4 37.7 MB
01 Introduction to the course, Machine Learning & Regression Analysis/003 What is Machine Leraning and it's main types_.mp4 36.0 MB
03 R Crash Course - get started with R-programming in R-Studio/012 Read Data into R.mp4 33.5 MB
04 Linear Regression Analysis for Supervised Machine Learning in R/010 Prediction model evaluation with data split_ out-of-sample RMSE.mp4 32.7 MB

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【影视】 [ CourseWikia.com ] AlgoExpert - Machine Learning Crash Course

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~Get Your Files Here !/4 Deep Learning/12-Neural Networks.mp4.mp4 154.5 MB
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~Get Your Files Here !/2 Supervised Learning/9-SVM.mp4.mp4 89.7 MB
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~Get Your Files Here !/2 Supervised Learning/7- Linear Regression.mp4.mp4 71.9 MB
~Get Your Files Here !/3 Unsupervised Learning/11-Singular Value Decomposition.mp4.mp4 67.1 MB
~Get Your Files Here !/2 Supervised Learning/5-KNN.mp4.mp4 64.1 MB
~Get Your Files Here !/3 Unsupervised Learning/10-K-means.mp4.mp4 63.2 MB
~Get Your Files Here !/4 Deep Learning/15-GAN.mp4.mp4 60.8 MB
~Get Your Files Here !/1 Introduction/0-Introduction.mp4.mp4 25.0 MB
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~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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