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【音乐】 Die Toten Hosen - 2020 - Learning English Lesson 3- MERSEY BEAT! The Sound of Liverpool (24bit-44.1kHz)

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12 I Can Tell.flac 39.4 MB
09 You Might As Well Forget Him.flac 38.6 MB
03 Do You Love Me.flac 34.6 MB
08 Slow Down.flac 34.3 MB
06 Walking the Dog.flac 33.7 MB
13 Sorrow.flac 30.3 MB
15 Ferry Cross the Mersey.flac 29.9 MB
04 You're No Good.flac 29.8 MB
10 Shake Sherry.flac 29.6 MB
07 Bad To Me.flac 29.2 MB
11 Needles and Pins.flac 28.1 MB
14 Shake, Rattle and Roll.flac 28.0 MB
05 She's Sure the Girl I Love.flac 27.4 MB
02 Respectable.flac 26.7 MB
01 Hippy Hippy Shake.flac 24.6 MB
folder.jpg 1.5 MB

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【影视】 Learning the Hard Way 1.mp4

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Learning the Hard Way 1.mp4 204.2 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Real World Machine Learning Case Studies, Projects (Python).zip

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[ DevCourseWeb.com ] Udemy - Real World Machine Learning Case Studies, Projects (Python).zip 2.2 GB

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【其他】 Linkedin.Learning.Principle.for.UX.Design.2021-QUASAR

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【影视】 [FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learn how to Create Learning Management System (LMS) with WP.zip

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[ FreeCourseWeb.com ] Udemy - Learn how to Create Learning Management System (LMS) with WP.zip 1.2 GB

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【压缩文件】 Machine Learning from the scratch using Python

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Machine Learning from the scratch using Python.zip 4.7 GB
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【影视】 MotionElements - Learning Curve - 11911862

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02. Video tutorial/Tutorial.mp4 52.2 MB
Learning Curve - 11911862.mp4 12.4 MB
01. Project file/Learning Curve.aep 6.4 MB
03. Assets/Shimmer 8.mov 5.0 MB
03. Assets/Particles.mp4 2.7 MB
03. Assets/Papers.JPG 1.8 MB
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03. Assets/Image 1.jpg 197.3 kB
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【影视】 Learning.to.See.The.World.of.Insects.2016.720p.BluRay.H264.AAC-RARBG

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Learning.to.See.The.World.of.Insects.2016.720p.BluRay.H264.AAC-RARBG.mp4 905.8 MB
Subs/2_English.srt 70.2 kB
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RARBG.txt 30 Bytes

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【影视】 [FreeCoursesOnline.Me] [Packt] Regression Analysis for Statistics and Machine Learning in R [FCO]

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1.Get Started with Practical Regression Analysis in R/01.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools.mp4 121.2 MB
7.Working with Non-Parametric and Non-Linear Data/55.ML Model Selection.mp4 107.1 MB
6.Generalized Linear Models (GLMs)/45.Goodness of fit testing.mp4 91.4 MB
1.Get Started with Practical Regression Analysis in R/02.Difference Between Statistical Analysis & Machine Learning.mp4 75.6 MB
1.Get Started with Practical Regression Analysis in R/07.Basic Exploratory Data Analysis in R.mp4 58.3 MB
1.Get Started with Practical Regression Analysis in R/04.Reading in Data with R.mp4 52.2 MB
1.Get Started with Practical Regression Analysis in R/05.Data Cleaning with R.mp4 47.0 MB
6.Generalized Linear Models (GLMs)/41.Logistic regression.mp4 46.6 MB
7.Working with Non-Parametric and Non-Linear Data/48.Generalized Additive Models (GAMs) in R.mp4 41.9 MB
4.Variable & Model Selection/32.Evaluate Regression Model Performance.mp4 41.6 MB
4.Variable & Model Selection/29.Select the Most Suitable OLS Regression Model.mp4 40.7 MB
6.Generalized Linear Models (GLMs)/42.Logistic Regression for Binary Response Variable.mp4 33.2 MB
2.Ordinary Least Square Regression Modelling/18.Multiple Linear regression with Interaction and Dummy Variables.mp4 31.7 MB
3.Deal with Multicollinearity in OLS Regression Models/23.Principal Component Regression in R.mp4 31.0 MB
1.Get Started with Practical Regression Analysis in R/06.Some More Data Cleaning with R.mp4 30.4 MB
3.Deal with Multicollinearity in OLS Regression Models/21.Identify Multicollinearity.mp4 30.1 MB
7.Working with Non-Parametric and Non-Linear Data/51.CART-Regression Trees in R.mp4 29.7 MB
Exercise Files/code_9781838987862.zip 29.3 MB
2.Ordinary Least Square Regression Modelling/09.OLS Regression- Theory.mp4 29.1 MB
2.Ordinary Least Square Regression Modelling/19.Some Basic Conditions that OLS Models Have to Fulfill.mp4 28.9 MB

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【其他】 LINKEDIN.LEARNING.SUCCESS.HABITS.UPDATE.20190204-BiFiSO

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【影视】 Learning.Modular.Synthesis.Moog.Mother.32.Semimodular.Synth-kEISO

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04. UNKNOWN CHAPTER TITLE/04_05-Adding a second oscillator.mp4 101.7 MB
04. UNKNOWN CHAPTER TITLE/04_06-Safely splitting a signal.mp4 90.4 MB
04. UNKNOWN CHAPTER TITLE/04_03-Attenuators and mixers.mp4 87.7 MB
04. UNKNOWN CHAPTER TITLE/04_02-Using the patchbay.mp4 70.9 MB
02. Creating Sounds/02_03-The filter section.mp4 68.1 MB
04. UNKNOWN CHAPTER TITLE/04_01-Mounting the Mother32.mp4 64.1 MB
03. Using the Sequencer/03_01-Basic playback and recording.mp4 62.7 MB
03. Using the Sequencer/03_04-Editing a sequence.mp4 62.5 MB
03. Using the Sequencer/03_03-Sequencing with glides and repeats.mp4 58.5 MB
03. Using the Sequencer/03_02-Sequencing with holds and rests.mp4 53.5 MB
02. Creating Sounds/02_01-Creating a basic sound patch.mp4 53.2 MB
04. UNKNOWN CHAPTER TITLE/04_04-Adding a second envelope.mp4 50.2 MB
02. Creating Sounds/02_04-Other modulation applications.mp4 44.3 MB
03. Using the Sequencer/03_05-Live performance with the sequencer.mp4 35.9 MB
02. Creating Sounds/02_02-The oscillator section.mp4 29.6 MB
01. Introduction/01_02-An overview of the Moog Mother32.mp4 27.3 MB
01. Introduction/01_01-Welcome.mp4 26.4 MB
05. Conclusion/05_01-Going further and theres a lot more.mp4 15.7 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Calculus & Linear Algebra for Machine Learning from Scratch.zip

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[ FreeCourseWeb.com ] Udemy - Calculus & Linear Algebra for Machine Learning from Scratch.zip 542.3 MB

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【影视】 AllGirlMassage - Dee Williams & Kenzie Reeves - Learning From The Best

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【压缩文件】 Mosconi F. Zero to Deep Learning with Keras and Tensorflow 2020

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning Microsoft Power Virtual Agents.zip

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【压缩文件】 [ FreeCourseWeb.com ] Deep Learning & AI - NLP-2 - Sentiment Analysis Hands-on.zip

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【影视】 [DesireCourse.Com] Udemy - Machine Learning Basics Building Regression Model in Python

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6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 164.2 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.6 MB
6. Linear Regression/5. Simple Linear Regression in Python.vtt 82.5 MB
6. Linear Regression/5. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

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