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【影视】 GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

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6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
3. Data Preprocessing/12. Normalization.mp4 195.9 MB
5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

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【影视】 [GigaCourse.Com] Udemy - Machine Learning Natural Language Processing in Python (V2)

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18. Recurrent Neural Networks/9. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 152.1 MB
3. Vector Models and Text Preprocessing/14. TF-IDF (Code).mp4 131.0 MB
16. Feedforward Artificial Neural Networks/13. CBOW in Tensorflow (Advanced).mp4 123.3 MB
22. Effective Learning Strategies for Machine Learning FAQ/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
9. Spam Detection/6. Spam Detection in Python.mp4 112.8 MB
7. Cipher Decryption (Advanced)/4. Genetic Algorithms.mp4 110.3 MB
3. Vector Models and Text Preprocessing/10. Count Vectorizer (Code).mp4 106.9 MB
6. Article Spinner (Intermediate)/4. Article Spinner in Python (pt 1).mp4 100.6 MB
16. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 93.7 MB
17. Convolutional Neural Networks/6. CNN Architecture.mp4 93.6 MB
11. Text Summarization/8. TextRank in Python (Advanced).mp4 86.3 MB
18. Recurrent Neural Networks/6. GRU and LSTM (pt 1).mp4 86.2 MB
13. Latent Semantic Analysis (Latent Semantic Indexing)/2. SVD (Singular Value Decomposition) Intuition.mp4 85.8 MB
15. The Neuron/4. Text Classification in Tensorflow.mp4 85.6 MB
17. Convolutional Neural Networks/2. What is Convolution.mp4 83.7 MB
3. Vector Models and Text Preprocessing/16. How to Build TF-IDF From Scratch.mp4 83.7 MB
22. Effective Learning Strategies for Machine Learning FAQ/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
11. Text Summarization/4. Text Summarization in Python.mp4 82.0 MB
6. Article Spinner (Intermediate)/5. Article Spinner in Python (pt 2).mp4 79.0 MB
17. Convolutional Neural Networks/5. Convolution on Color Images.mp4 78.8 MB

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【影视】 structy - Data Structures & Algorithms made simple [Python, Cpp]

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5_15_best_bridge_py_walkthrough_[542883949].mp4 80.5 MB
5_15_best_bridge_cpp_walkthrough_[586914948].mp4 73.1 MB
8_07_substitute_synonyms_cpp_walkthrough_[600543394].mp4 71.9 MB
4_15_tree_levels_py_walkthrough_[536053521].mp4 66.1 MB
3_17_add_lists_py_walkthrough_[538107595].mp4 66.0 MB
3_17_add_lists_cpp_walkthrough_[582303155].mp4 64.5 MB
9_21_build_tree_in_pre_py_walkthrough_[565384072].mp4 61.9 MB
8_06_parenthetical_possibilities_cpp_walkthrough_[596669946].mp4 55.7 MB
5_02_graph_intro_cpp_walkthrough_[661037212].mp4 55.3 MB
4_10_tree_path_finder_py_walkthrough_[536062477].mp4 55.1 MB
5_03_graph_intro_py_walkthrough_[661036721].mp4 55.1 MB
8_07_substitute_synonyms_py_walkthrough_[556604794].mp4 54.0 MB
4_04_depth_first_values_py_walkthrough_[536068364].mp4 53.4 MB
4_04_depth_first_values_cpp_walkthrough_[582301941].mp4 51.9 MB
9_26_string_search_py_walkthrough_[566315141].mp4 49.6 MB
8_06_parenthetical_possibilities_py_walkthrough_[555513365].mp4 49.3 MB
6_02_fib_approach_[536074583].mp4 46.0 MB
3_15_insert_node_cpp_walkthrough_[580928488].mp4 45.3 MB
5_12_closest_carrot_py_walkthrough_[541974836].mp4 44.8 MB
5_18_knight_attack_cpp_walkthrough_[771810013].mp4 44.8 MB

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【影视】 tutsgalaxy.-net-udemy-the-complete-python-hacking-course-beginner-to-advanced

收录时间:2022-04-14 文档个数:367 文档大小:7.2 GB 最近下载:2025-05-12 人气:567 磁力链接

7. Network Analysis/3. Analyzing IP header part 2.mp4 229.5 MB
6. Coding DNS Spoofer/3. Redirecting response to cloned page.mp4 217.3 MB
5. Sniffers, Flooders and Spoofers/4. Crafting malicious ARP packet.mp4 151.2 MB
8. Multi-functioning Reverse Shell/14. Capturing screenshot on target PC.mp4 147.1 MB
8. Multi-functioning Reverse Shell/17. Running our shell as an image, audio, PDF.srt 143.3 MB
8. Multi-functioning Reverse Shell/17. Running our shell as an image, audio, PDF.mp4 143.3 MB
6. Coding DNS Spoofer/4. Setting IP table rules and running DNS spoofer.mp4 137.3 MB
5. Sniffers, Flooders and Spoofers/9. Getting source and destination MAC address from received packets.mp4 136.7 MB
7. Network Analysis/4. Analyzing TCP header.mp4 128.7 MB
4. Password Cracking/4. Cracking crypt passwords with salt.mp4 126.8 MB
8. Multi-functioning Reverse Shell/10. Downloading & uploading files to target PC.mp4 121.4 MB
11. Website Penetration Testing/1. Stealing saved wireless passwords.mp4 111.9 MB
10. Command and Control Center/7. Attacking multiple targets and gathering botnet.mp4 110.7 MB
1. Introduction and Setup/4. Adding Guest Additions.mp4 105.8 MB
7. Network Analysis/5. Analyzing UDP header.mp4 104.6 MB
5. Sniffers, Flooders and Spoofers/2. Coding MAC address changer.mp4 97.4 MB
3. SSH and FTP Attacks/7. Username & password list attack on FTP.mp4 96.2 MB
9. Coding a Keylogger/4. Adding keylogger to our backdoor.mp4 96.1 MB
11. Website Penetration Testing/4. Bruteforcing any login page part 1.mp4 93.7 MB
10. Command and Control Center/5. Fixing Q command.mp4 90.3 MB

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【影视】 GetFreeCourses.Co-Udemy-Learn OpenGL with Python for Graphics and Games

收录时间:2024-01-23 文档个数:240 文档大小:7.2 GB 最近下载:2025-05-15 人气:1957 磁力链接

07 - Affine Transformations/39781496-S0708.mp4 144.9 MB
13 - Customising Shaders/004 Integrating a Second and Different Shader.mp4 140.5 MB
10 - Creating 3D Objects/005 Animating with Transformations.mp4 136.0 MB
13 - Customising Shaders/006 Final Project.mp4 135.2 MB
11 - Lights/008 Multiple Light Sources Part 2.mp4 119.1 MB
07 - Affine Transformations/009 Scaling.mp4 117.7 MB
04 - Turtle Graphics/004 Drawing an L-System.mp4 116.6 MB
07 - Affine Transformations/004 Translation.mp4 116.0 MB
11 - Lights/004 Passing Vertex Normals.mp4 115.5 MB
12 - Textures/003 Shaders with Textures.mp4 112.3 MB
04 - Turtle Graphics/005 Iterative Function Systems Part 1.mp4 111.0 MB
02 - Getting Started/004 OpenGL Programming Basics.mp4 107.0 MB
09 - Camera Movement and Matrices/008 Adjusting for Unwanted Camera Roll.mp4 105.9 MB
10 - Creating 3D Objects/006 Transforming All Meshes.mp4 104.0 MB
07 - Affine Transformations/005 Mesh Translations.mp4 103.9 MB
11 - Lights/005 Ambient, Diffuse and Specular Lights.mp4 103.6 MB
12 - Textures/004 Playing with UV Values.mp4 102.1 MB
10 - Creating 3D Objects/002 Loading an OBJ File.mp4 100.6 MB
04 - Turtle Graphics/001 Programming a Turtle.mp4 100.6 MB
01 - Introduction/001 Welcome.mp4 99.9 MB

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【影视】 [CoursesInbox.Com]-Udemy-Learn OpenGL with Python for Graphics and Games

收录时间:2024-06-24 文档个数:237 文档大小:7.2 GB 最近下载:2025-05-15 人气:526 磁力链接

07 - Affine Transformations/39781496-S0708.mp4 144.9 MB
13 - Customising Shaders/004 Integrating a Second and Different Shader.mp4 140.5 MB
10 - Creating 3D Objects/005 Animating with Transformations.mp4 136.0 MB
13 - Customising Shaders/006 Final Project.mp4 135.2 MB
11 - Lights/008 Multiple Light Sources Part 2.mp4 119.1 MB
07 - Affine Transformations/009 Scaling.mp4 117.7 MB
04 - Turtle Graphics/004 Drawing an L-System.mp4 116.6 MB
07 - Affine Transformations/004 Translation.mp4 116.0 MB
11 - Lights/004 Passing Vertex Normals.mp4 115.5 MB
12 - Textures/003 Shaders with Textures.mp4 112.3 MB
04 - Turtle Graphics/005 Iterative Function Systems Part 1.mp4 111.0 MB
02 - Getting Started/004 OpenGL Programming Basics.mp4 107.0 MB
09 - Camera Movement and Matrices/008 Adjusting for Unwanted Camera Roll.mp4 105.9 MB
10 - Creating 3D Objects/006 Transforming All Meshes.mp4 104.0 MB
07 - Affine Transformations/005 Mesh Translations.mp4 103.9 MB
11 - Lights/005 Ambient, Diffuse and Specular Lights.mp4 103.6 MB
12 - Textures/004 Playing with UV Values.mp4 102.1 MB
10 - Creating 3D Objects/002 Loading an OBJ File.mp4 100.6 MB
04 - Turtle Graphics/001 Programming a Turtle.mp4 100.6 MB
01 - Introduction/001 Welcome.mp4 99.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Learn OpenGL with Python for Graphics and Games

收录时间:2024-01-07 文档个数:236 文档大小:7.2 GB 最近下载:2025-05-14 人气:3492 磁力链接

07 - Affine Transformations/39781496-S0708.mp4 144.9 MB
13 - Customising Shaders/004 Integrating a Second and Different Shader.mp4 140.5 MB
10 - Creating 3D Objects/005 Animating with Transformations.mp4 136.0 MB
13 - Customising Shaders/006 Final Project.mp4 135.2 MB
11 - Lights/008 Multiple Light Sources Part 2.mp4 119.1 MB
07 - Affine Transformations/009 Scaling.mp4 117.7 MB
04 - Turtle Graphics/004 Drawing an L-System.mp4 116.6 MB
07 - Affine Transformations/004 Translation.mp4 116.0 MB
11 - Lights/004 Passing Vertex Normals.mp4 115.5 MB
12 - Textures/003 Shaders with Textures.mp4 112.3 MB
04 - Turtle Graphics/005 Iterative Function Systems Part 1.mp4 111.0 MB
02 - Getting Started/004 OpenGL Programming Basics.mp4 107.0 MB
09 - Camera Movement and Matrices/008 Adjusting for Unwanted Camera Roll.mp4 105.9 MB
10 - Creating 3D Objects/006 Transforming All Meshes.mp4 104.0 MB
07 - Affine Transformations/005 Mesh Translations.mp4 103.9 MB
11 - Lights/005 Ambient, Diffuse and Specular Lights.mp4 103.6 MB
12 - Textures/004 Playing with UV Values.mp4 102.1 MB
10 - Creating 3D Objects/002 Loading an OBJ File.mp4 100.6 MB
04 - Turtle Graphics/001 Programming a Turtle.mp4 100.6 MB
01 - Introduction/001 Welcome.mp4 99.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

收录时间:2018-03-03 文档个数:287 文档大小:7.2 GB 最近下载:2025-05-16 人气:1550 磁力链接

01 Welcome to the course/001 Applications of Machine Learning.mp4 10.3 MB
01 Welcome to the course/002 Why Machine Learning is the Future.mp4 15.2 MB
01 Welcome to the course/003 Installing R and R Studio MAC Windows.mp4 24.3 MB
01 Welcome to the course/004 Installing Python and Anaconda MAC Windows.mp4 25.1 MB
01 Welcome to the course/005 BONUS Meet your instructors.html 1.4 kB
02 -------------------------- Part 1 Data Preprocessing --------------------------/006 Welcome to Part 1 - Data Preprocessing.mp4 3.7 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/007 Get the dataset.mp4 22.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/008 Importing the Libraries.mp4 14.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/009 Importing the Dataset.mp4 30.0 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/011 Missing Data.mp4 41.2 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/012 Categorical Data.mp4 55.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/013 Splitting the Dataset into the Training set and Test set.mp4 53.4 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/014 Feature Scaling.mp4 46.8 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/015 And here is our Data Preprocessing Template.mp4 27.1 MB
02 -------------------------- Part 1 Data Preprocessing --------------------------/quizzes/001 Data Preprocessing.html 4.7 kB
03 ------------------------------ Part 2 Regression ------------------------------/016 Welcome to Part 2 - Regression.html 1.1 kB
04 Simple Linear Regression/017 How to get the dataset.mp4 12.3 MB
04 Simple Linear Regression/018 Dataset Business Problem Description.mp4 8.1 MB
04 Simple Linear Regression/019 Simple Linear Regression Intuition - Step 1.mp4 11.0 MB
04 Simple Linear Regression/020 Simple Linear Regression Intuition - Step 2.mp4 6.3 MB

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【影视】 [DMC.RIP] [Skillbox] Аналитик данных на Python (2020)

收录时间:2022-01-24 文档个数:818 文档大小:7.2 GB 最近下载:2025-05-06 人气:834 磁力链接

[DMC.RIP] 4. Визуализация с помощью Matplotlib и Seaborn/[DMC.RIP] 4-1.mkv 474.8 MB
[DMC.RIP] 9. Парсинг сайтов на Python/[DMC.RIP] 9-6.mkv 395.9 MB
[DMC.RIP] 3. Pandas Advanced. Составляем отчетность/[DMC.RIP] 3-4.mkv 313.4 MB
[DMC.RIP] 2. NumPy и Pandas/[DMC.RIP] 2-2.mkv 302.7 MB
[DMC.RIP] 14. Введение в кластеризацию/[DMC.RIP] 14-3.mkv 295.4 MB
[DMC.RIP] 5. Функции, файлы, базы данных/[DMC.RIP] 5-1.mkv 269.7 MB
[DMC.RIP] 14. Введение в кластеризацию/[DMC.RIP] 14-4.mkv 251.2 MB
[DMC.RIP] 2. NumPy и Pandas/[DMC.RIP] 2-3.mkv 241.2 MB
[DMC.RIP] 5. Функции, файлы, базы данных/[DMC.RIP] 5-3.mkv 233.4 MB
[DMC.RIP] 3. Pandas Advanced. Составляем отчетность/[DMC.RIP] 3-2.mkv 229.0 MB
[DMC.RIP] 5. Функции, файлы, базы данных/[DMC.RIP] 5-2.mkv 184.8 MB
[DMC.RIP] 8. API VK/[DMC.RIP] 8-6.mkv 173.4 MB
[DMC.RIP] 11. AB-тестирование с помощью Python/[DMC.RIP] 11-2.mkv 172.9 MB
[DMC.RIP] 13. Дашборды/[DMC.RIP] 13-5.mkv 168.4 MB
[DMC.RIP] 6. API сервиса Яндекс.Метрика/[DMC.RIP] 6-1.mkv 152.3 MB
[DMC.RIP] 12. ETL на Python/[DMC.RIP] 12-3.mkv 149.2 MB
[DMC.RIP] 7. API Google Analytics/[DMC.RIP] 7-3.mkv 130.7 MB
[DMC.RIP] 11. AB-тестирование с помощью Python/[DMC.RIP] 11-4.mkv 130.6 MB
[DMC.RIP] 7. API Google Analytics/[DMC.RIP] 7-1.mkv 120.8 MB
[DMC.RIP] 1. Настройка окружения/[DMC.RIP] 1-3.mp4 114.7 MB

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【影视】 Police Python 357 .1976.PAL.DVDR

收录时间:2017-09-07 文档个数:14 文档大小:7.2 GB 最近下载:2024-09-14 人气:34 磁力链接

Police Python 357 .1976.PAL.DVDR.nfo 580 Bytes
VIDEO_TS/VIDEO_TS.BUP 12.3 kB
VIDEO_TS/VIDEO_TS.IFO 12.3 kB
VIDEO_TS/VIDEO_TS.VOB 19.8 MB
VIDEO_TS/VTS_01_0.BUP 86.0 kB
VIDEO_TS/VTS_01_0.IFO 86.0 kB
VIDEO_TS/VTS_01_0.VOB 79.7 MB
VIDEO_TS/VTS_01_1.VOB 1.1 GB
VIDEO_TS/VTS_01_2.VOB 1.1 GB
VIDEO_TS/VTS_01_3.VOB 1.1 GB
VIDEO_TS/VTS_01_4.VOB 1.1 GB
VIDEO_TS/VTS_01_5.VOB 1.1 GB
VIDEO_TS/VTS_01_6.VOB 1.1 GB
VIDEO_TS/VTS_01_7.VOB 663.4 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Statistics for Data Analysis Using Python

收录时间:2021-05-26 文档个数:290 文档大小:7.2 GB 最近下载:2025-04-02 人气:154 磁力链接

4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Analysis Using Python

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4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
5. Data Visualization Using Matplotlib.pyplot and Seaborn Libraries/10. Visualizing the Titanic dataset.mp4 105.4 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/13. [Theory] Z Tables - Finding the Critical Values.mp4 104.9 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/2. [Theory] Tests for means, variances and proportions - Introduction.mp4 101.2 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/9. [Theory] Hypothesis Testing - A Simple Introduction.mp4 101.1 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/30. Contingency Tables Using Python.mp4 100.6 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/17. [Theory] Two Variances Test.mp4 99.6 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/9. [Theory] One Proportion Test.mp4 98.0 MB
7. Hypothesis Testing Part 1 (One Sample Tests)/6. One Sample Z Test Using Python.mp4 95.0 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/42. [Theory] Normal Distribution - Part 1.mp4 94.7 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/11. [Theory] Types of Errors - Summary.mp4 94.0 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/11. [Theory] Paired t Test.mp4 93.3 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/16. [Theory] Basics of Probability - Part 2.mp4 93.2 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/7. [Theory] Two Sample t Test - Equal Variance.mp4 92.6 MB

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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Analysis Using Python

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4. Pandas Package/10. DataFrame - Dealing with Rows.mp4 162.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/5. Central Limit Theorem - Using Python.mp4 134.1 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/24. [Theory] Binomial Distribution.mp4 133.4 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/27. Introducing SciPy Package for Binomial Distributions.mp4 113.3 MB
8. Hypothesis Testing Part 2 (Two Sample Tests, ANOVA, GoF & Contingency Tables)/8. [Theory] Two Sample t Test - Unequal Variance.mp4 109.3 MB
6. Inferential Statistics and Hypothesis Testing - Introduction/16. Hypothesis Testing Using Python.mp4 107.5 MB
3. NumPy Package, Probability Distributions and an Introduction to SciPy Package/46. Normal Distribution Using SciPy.mp4 107.2 MB
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