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- 【影视】 [FreeCourseSite.com] Udemy - Data science ,Analytics & AI Real world Project using Python
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4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4 137.9 MB
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7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4 130.2 MB
9. NLP (Natural Language Processing )/4. Lecture 34.mp4 129.4 MB
7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4 117.9 MB
5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4 116.2 MB
10. Machine Learning/1. Lecture 36.mp4 115.0 MB
6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4 114.8 MB
8. Advance Data Analysis/1. Lecture 28.mp4 114.3 MB
8. Advance Data Analysis/3. Lecture 30.mp4 113.2 MB
11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4 111.8 MB
4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4 107.9 MB
7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4 107.3 MB
7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp4 104.4 MB
4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp4 100.6 MB
3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp4 99.3 MB
5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp4 97.1 MB
11. Hypertuning of Machine Learning Model/1. Lecture 37.mp4 92.5 MB
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4. Feature Extraction for Data Science/2. Finding Length of questions.mp4 90.7 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - The Introduction of AI and Machine Learning with Python
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~Get Your Files Here !/03 - Understanding AI/005 Project Functions.mp4 104.4 MB
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Chapter 11-Week 11 Recurrent Neural Networks (RNNs) and Sequence Modeling/88 Day 6 Sequence-to-Sequence Models and Applications.mp4 157.0 MB
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Chapter 5-Week 5 Introduction to Machine Learning/37 Day 3 Advanced Regression Models – Polynomial Regression and Regularization.mp4 128.4 MB
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Chapter 1-Week 1 Python Programming Basics for Artificial Intelligence/3 Day 2 Control Flow in Python.mp4 119.4 MB
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Chapter 19-Week 6 Web Development with Python/143 Day 37 Personal Blog Website Routes --& Templates.mp4 104.7 MB
Chapter 21-Days 50 60 Intermediate Projects/156 Day 50 Weather Dashboard App.mp4 104.7 MB
Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/81 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 100.6 MB
Chapter 2-Week 2 Data Science Essentials for Artificial Intelligence/16 Day 6 Data Visualization with Matplotlib and Seaborn.mp4 98.9 MB
Chapter 8-Week 8 Model Tuning and Optimization/61 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 97.9 MB
Chapter 9-Week 9 Neural Networks and Deep Learning Fundamentals/72 Day 6 Building Neural Networks with PyTorch.mp4 97.0 MB
Chapter 13-Week 13 Transfer Learning and Fine Tuning/100 Day 2 Transfer Learning in Computer Vision.mp4 96.8 MB
Chapter 10-Week 10 Convolutional Neural Networks (CNNs)/75 Day 1 Introduction to Convolutional Neural Networks.mp4 95.9 MB
Chapter 13-Week 13 Transfer Learning and Fine Tuning/103 Day 5 Fine-Tuning Techniques in NLP.mp4 94.8 MB
Chapter 3-Week_3 Mathematics for Machine Learning and Artificial Intelligence/23 Day 5 Probability Theory and Distributions.mp4 92.6 MB
Chapter 23-Days 71 80 AI and Machine Learning Projects/179 Day 73 Handwriting Digit Recognition.mp4 92.0 MB
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07 Appendix/044 Environment Setup.mp4 46.0 MB
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02 Background Review/004 Review Intro.mp4 4.4 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
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02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
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03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
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11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
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12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
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9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
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Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
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Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
Part 10-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 22.0 MB
Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4 21.8 MB
Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4 21.1 MB
Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 19.9 MB
Part 10-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4 19.5 MB
Part 02-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 19.3 MB
Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 19.2 MB
Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 18.2 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 18.1 MB
Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.8 MB
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~Get Your Files Here !/04. Generating AI Chatbot Responses.mp4 47.9 MB
~Get Your Files Here !/03. Converting Text to Speech.mp4 27.6 MB
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~Get Your Files Here !/05. Combining Everything & Building the Assistant.mp4 13.1 MB
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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
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11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
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12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
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Monty Python and the Holy Grail (1975) 2160p HDR 5.1 Ai Upscale -Mesc.mkv 13.5 GB
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Monty Python and the Holy Grail (1975) 2160p HDR 5.1 Ai Upscale -Mesc.mkv.MediaInfo.txt 6.6 kB
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~Get Your Files Here !/3. Understanding Vector Representations.mp4 113.2 MB
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~Get Your Files Here !/4. Learn How to Use Word Vectors.mp4 77.1 MB
~Get Your Files Here !/1. Introduction.mp4 4.8 MB
~Get Your Files Here !/3. Understanding Vector Representations.srt 15.5 kB
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~Get Your Files Here !/7. Sentiment Analysis in Varder.srt 14.4 kB
~Get Your Files Here !/5. Learning Word Vectors in Gensim.srt 13.7 kB
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~Get Your Files Here !/4. Learn How to Use Word Vectors.srt 12.1 kB
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Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
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