- 【影视】 Secure Coding in Python Django
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[TutsNode.net] - Secure Coding in Python Django/2. Secure Coding in Python Lab/7. Provisioning Django Web Application.mp4 227.2 MB
[TutsNode.net] - Secure Coding in Python Django/2. Secure Coding in Python Lab/5. Provisioning Kali Linux.mp4 209.8 MB
[TutsNode.net] - Secure Coding in Python Django/6. Web App Vulnerabilities and Attacks/5. Demo - Insecure Deserialization.mp4 196.6 MB
[TutsNode.net] - Secure Coding in Python Django/2. Secure Coding in Python Lab/6. Provisioning Ubuntu Linux.mp4 195.6 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/4. String.mp4 191.9 MB
[TutsNode.net] - Secure Coding in Python Django/4. Web Application Basics/11. HTTP Basics and Status Codes.mp4 169.1 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/9. Python Basic Demo Part 1.mp4 155.6 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/16. Function.mp4 154.3 MB
[TutsNode.net] - Secure Coding in Python Django/4. Web Application Basics/13. Web Forms - HTTP Methods.mp4 152.7 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/10. Python Basic Demo Part 2.mp4 151.7 MB
[TutsNode.net] - Secure Coding in Python Django/4. Web Application Basics/3. HTTP Basics.mp4 151.7 MB
[TutsNode.net] - Secure Coding in Python Django/7. Securing Web App using Django/7. Demo - Securing against XSS.mp4 148.0 MB
[TutsNode.net] - Secure Coding in Python Django/4. Web Application Basics/7. Web Development Stack.mp4 146.7 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/14. Python Basic Demo Part 3.mp4 139.9 MB
[TutsNode.net] - Secure Coding in Python Django/5. Django Basics/5. Demo - Test Server Provisioning.mp4 130.2 MB
[TutsNode.net] - Secure Coding in Python Django/4. Web Application Basics/9. HTTP Messages.mp4 130.0 MB
[TutsNode.net] - Secure Coding in Python Django/5. Django Basics/6. Demo - Django Installation.mp4 129.6 MB
[TutsNode.net] - Secure Coding in Python Django/3. Python Basics/19. Project 1 Demo.mp4 125.6 MB
[TutsNode.net] - Secure Coding in Python Django/5. Django Basics/9. Demo - Working with Django Files.mp4 124.9 MB
[TutsNode.net] - Secure Coding in Python Django/7. Securing Web App using Django/5. Demo - Securing against SQL Injection.mp4 123.6 MB
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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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- 【压缩文件】 [FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip
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[FreeUdemy.Me] Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 7.2 GB
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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
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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】 tutsgalaxy.-net-udemy-the-complete-python-hacking-course-beginner-to-advanced_202008
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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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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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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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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
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12 Logistic Regression/088 Logistic Regression in R - Step 5.mp4 98.3 MB
31 Artificial Neural Networks/216 ANN in Python - Step 2.mp4 89.0 MB
17 Decision Tree Classification/115 Decision Tree Classification in R.mp4 71.5 MB
14 Support Vector Machine SVM/097 SVM in R.mp4 68.5 MB
18 Random Forest Classification/119 Random Forest Classification in R.mp4 67.2 MB
32 Convolutional Neural Networks/247 CNN in Python - Step 9.mp4 65.4 MB
18 Random Forest Classification/118 Random Forest Classification in Python.mp4 65.1 MB
07 Support Vector Regression SVR/060 SVR in Python.mp4 63.1 MB
05 Multiple Linear Regression/040 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK.mp4 62.0 MB
27 Upper Confidence Bound UCB/170 Upper Confidence Bound in R - Step 3.mp4 60.6 MB
36 Kernel PCA/263 Kernel PCA in R.mp4 59.3 MB
24 Apriori/153 Apriori in R - Step 3.mp4 59.3 MB
08 Decision Tree Regression/065 Decision Tree Regression in R.mp4 59.0 MB
13 K-Nearest Neighbors K-NN/093 K-NN in R.mp4 58.5 MB
28 Thompson Sampling/175 Thompson Sampling in Python - Step 1.mp4 58.2 MB
15 Kernel SVM/103 Kernel SVM in Python.mp4 57.5 MB
06 Polynomial Regression/056 Polynomial Regression in R - Step 3.mp4 57.5 MB
05 Multiple Linear Regression/039 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4 57.2 MB
06 Polynomial Regression/051 Polynomial Regression in Python - Step 3.mp4 57.1 MB
05 Multiple Linear Regression/041 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4 56.9 MB
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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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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
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