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【影视】 [ www.Torrentday.com ] - ESCAPE PLAN 2013 720p HDRIP X264 AAC-PYTHON

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ESCAPE PLAN 2013 720p HDRIP X264 AAC-PYTHON.mkv 3.1 GB
ESCAPE PLAN 2013 720p HDRIP X264 AAC-PYTHON Sample.mkv 26.4 MB
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【影视】 Working with Algorithms in Python

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04 Brute Force Algorithms/001. Brute Force An Algorithm for Solving Combinatoric Problems.mp4 358.7 MB
07 AllPairsShortestPath/001. Graph Algorithms All Pairs Shortest Path.mp4 301.6 MB
03 Mathematical Algorithms/001. Mathematical Algorithms Exponentiation By Squaring.mp4 301.5 MB
05 K-Dimensional Trees/001. KD Trees Efficient Processing of Two-Dimensional Datasets Part 1.mp4 285.4 MB
09 Single-Source Shortest Path/001. Single-Source Shortest Path Using Priority Queues.mp4 248.7 MB
01 BinarySearch/001. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 1.mp4 200.5 MB
01 BinarySearch/002. Efficient Searching using BinaryArraySearch and Binary Search Trees Part 2.mp4 197.2 MB
02 O (n log n) Behavior/001. MergeSort A Divide and Conquer Algorithm.mp4 170.3 MB
06 Graph Algorithms/001. Graph Algorithms Depth First Search Part 1.mp4 170.0 MB
01 BinarySearch/004. An Informal Introduction to the Analysis of Algorithms.mp4 160.0 MB
06 Graph Algorithms/002. Graph Algorithms Depth First Search Part 2.mp4 157.3 MB
04 Brute Force Algorithms/002. Using Brute Force to Generate Magic Squares.mp4 151.1 MB
08 Heap Data Structure/001. The Heap Data Structure and Its Use in HeapSort.mp4 147.8 MB
05 K-Dimensional Trees/002. KD Trees Efficient Processing of Two-Dimensional Datasets Part 2.mp4 98.0 MB
02 O (n log n) Behavior/002. Using MergeSort to Sort External Data.mp4 95.4 MB
05 K-Dimensional Trees/003. Using KD Trees to Compute Nearest Neighbor Queries.mp4 95.0 MB
06 Graph Algorithms/003. Using Depth First Search to Construct a Rectangular Maze.mp4 90.3 MB
03 Mathematical Algorithms/002. Using Exponentiation by Squaring to Determine Whether an Integer Is Prime.mp4 79.5 MB
08 Heap Data Structure/002. Using HeapSort to Sort a Collection.mp4 63.0 MB
09 Single-Source Shortest Path/002. Using Priority Queues to Compute the Minimum Spanning Tree.mp4 61.6 MB

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【影视】 Applied Generative AI and Natural Language Processing with Python

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Chapter 10 Capstone Project Chatbot/002. Webapp Climate Change Chatbot Data Prep (Coding).mp4 128.0 MB
Chapter 02 NLP-Introduction/011. GloVe Word (Coding).mp4 103.0 MB
Chapter 04 Model Finetuning/004. Simple Model (Coding).mp4 86.3 MB
Chapter 02 NLP-Introduction/005. Sentiment OHE (Coding).mp4 84.5 MB
Chapter 02 NLP-Introduction/013. Sentiment with Embedding (Coding).mp4 77.5 MB
Chapter 13 Miscellaneous/004. LLM-Functions (Coding).mp4 75.3 MB
Chapter 05 Vector Databases/006. Bible Vector DB - Data Prep (Coding).mp4 69.2 MB
Chapter 04 Model Finetuning/007. Finetuning Model (Coding).mp4 63.2 MB
Chapter 03 Apply Huggingface for Pre-Trained Models/017. Zero-Shot Text Classification (Coding).mp4 62.6 MB
Chapter 08 Advanced Prompt Engineering/008. Self-Consistency Chain-of-Thought (Coding).mp4 61.1 MB
Chapter 10 Capstone Project Chatbot/004. Webapp Climate Change Chatbot RAG (Coding).mp4 60.9 MB
Chapter 05 Vector Databases/007. Bible Vector DB - Database Handling (Coding).mp4 58.5 MB
Chapter 08 Advanced Prompt Engineering/015. Self-Feedback (Coding).mp4 57.8 MB
Chapter 10 Capstone Project Chatbot/005. Webapp Climate Change Chatbot Webapp (Coding).mp4 57.4 MB
Chapter 08 Advanced Prompt Engineering/005. Chain-of-Thought (Coding).mp4 56.0 MB
Chapter 02 NLP-Introduction/009. GloVe Word Analogy (Coding).mp4 54.4 MB
Chapter 05 Vector Databases/009. Solution Movies Vector DB - Data Prep (Coding).mp4 52.9 MB
Chapter 05 Vector Databases/013. Multimodal Vector DB Setup (Coding).mp4 48.2 MB
Chapter 05 Vector Databases/004. Tokenization (Coding).mp4 48.1 MB
Chapter 05 Vector Databases/010. Solution Movies Vector DB - DB-Setup (Coding).mp4 47.7 MB

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【影视】 Natural Language Processing - Probability Models in Python

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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.2 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.1 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 21.4 MB
Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.8 MB

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【影视】 Udemy - Python 101

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08_-_Modules/45_-_Creating_New_Modules.mp4 67.4 MB
10_-_Working_with_Files/53_-_Reading_and_Writing_a_Large_Text_File.mp4 51.5 MB
10_-_Working_with_Files/54_-_Reading_and_Writing_a_Binary_File.mp4 41.2 MB
01_-_Getting_Started/06_-_Different_Ways_of_Working_with_Python.mp4 39.8 MB
01_-_Getting_Started/03_-_Installing_Eclipse_IDE_on_Mac..mp4 37.1 MB
12_-_Database_Programming/58_-_Creating_Inserting_and_Retrieving_Table_Data.mp4 33.8 MB
07_-_Functions/40_-_Parameters_Passing.mp4 32.9 MB
11_-_Exceptions_Handling/56_-_Exceptions_Handling_with_try-except.mp4 31.9 MB
10_-_Working_with_Files/55_-_Other_File_Methods.mp4 31.5 MB
03_-_Conditionals_and_Loops/23_-_for_Loops.mp4 30.8 MB
10_-_Working_with_Files/52_-_Reading_and_Writing_a_Text_File.mp4 29.7 MB
07_-_Functions/41_-_More_Parameters_Passing.mp4 29.5 MB
09_-_OOP_--_Classes_and_Objects/47_-_Creating_Classes_and_Objects.mp4 29.4 MB
09_-_OOP_--_Classes_and_Objects/48_-_Inheritance.mp4 29.4 MB
09_-_OOP_--_Classes_and_Objects/49_-_Multiple_Inheritance.mp4 28.6 MB
07_-_Functions/43_-_Generator_Functions.mp4 28.4 MB
02_-_Python_Basics/18_-_Code_Indentation.mp4 27.6 MB
05_-_List_Objects/33_-_Some_List_Comprehensions.mp4 27.2 MB
12_-_Database_Programming/59_-_Updating_and_Deleting_Table_Data.mp4 25.2 MB
08_-_Modules/44_-_Using_Standard_Modules.mp4 23.9 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Use Python Fastapi To Create A Weather Website

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~Get Your Files Here !/3 - API integration/4 - Use requests library to make API calls from server.mp4 106.8 MB
~Get Your Files Here !/3 - API integration/5 - Integrate with location API.mp4 104.3 MB
~Get Your Files Here !/3 - API integration/3 - Decouple the data from view.mp4 73.4 MB
~Get Your Files Here !/2 - Create a weather template/2 - Use MDB template.mp4 35.3 MB
~Get Your Files Here !/4 - Recap/7 - FastAPI basics.mp4 23.0 MB
~Get Your Files Here !/4 - Recap/6 - recap.mp4 10.9 MB
~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 4.0 MB
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~Get Your Files Here !/3 - API integration/4 - National weather service api.txt 54 Bytes

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【影视】 Monty.Python-Documentary.series

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Monty.Python.Almost.the.Truth.Lawyers.Cut.2of6.The.Much.Funnier.Second.Episode.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.3of6.And.Now.the.Sordid.Personal.Bits.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.4of6.The.Ultimate.Holy.Grail.Episode.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.5of6.Lust.for.Glory.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.1of6.The.Not.So.Exciting.Beginnings.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.6of6.The.Last.Episode.Ever.for.Now.XviD.AC3.MVGroup.org.avi 735.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.2of6.The.Much.Funnier.Second.Episode.XviD.AC3.MVGroup.org.mp4 355.6 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.4of6.The.Ultimate.Holy.Grail.Episode.XviD.AC3.MVGroup.org.mp4 342.6 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.3of6.And.Now.the.Sordid.Personal.Bits.XviD.AC3.MVGroup.org.mp4 341.0 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.5of6.Lust.for.Glory.XviD.AC3.MVGroup.org.mp4 336.7 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.1of6.The.Not.So.Exciting.Beginnings.XviD.AC3.MVGroup.org.mp4 320.4 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.6of6.The.Last.Episode.Ever.for.Now.XviD.AC3.MVGroup.org.mp4 312.3 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.2of6.The.Much.Funnier.Second.Episode.XviD.AC3.MVGroup.org.ogv 262.5 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.4of6.The.Ultimate.Holy.Grail.Episode.XviD.AC3.MVGroup.org.ogv 253.8 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.3of6.And.Now.the.Sordid.Personal.Bits.XviD.AC3.MVGroup.org.ogv 252.6 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.5of6.Lust.for.Glory.XviD.AC3.MVGroup.org.ogv 249.2 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.1of6.The.Not.So.Exciting.Beginnings.XviD.AC3.MVGroup.org.ogv 237.5 MB
Monty.Python.Almost.the.Truth.Lawyers.Cut.6of6.The.Last.Episode.Ever.for.Now.XviD.AC3.MVGroup.org.ogv 232.4 MB
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【影视】 www.1TamilMV.cfd - Giant Python (2021) HQ HDRip - 1080p - x264 - [Tam Hin Kan Chi] - 1.4GB.mkv

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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

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Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

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【影视】 Rewolwer Python 357 (1976) DVDRip XviD AC3 lekpl

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Rewolwer Python 357 (1976) DVDRip XviD AC3 lekpl.avi 1.6 GB
ZAPRASZAMY - EX-TORRENTY.ORG.html 543 Bytes
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【影视】 Natural Language Processing - Machine Learning Models in Python

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Chapter 3 Spam Detection/006. Spam Detection in Python.mp4 56.1 MB
Chapter 5 Text Summarization/008. TextRank in Python (Advanced).mp4 40.9 MB
Chapter 5 Text Summarization/004. Text Summarization in Python.mp4 39.1 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/002. SVD (Singular Value Decomposition) Intuition.mp4 38.7 MB
Chapter 6 Topic Modeling/006. Topic Modeling with Latent Dirichlet Allocation (LDA) in Python.mp4 36.6 MB
Chapter 4 Sentiment Analysis/002. Logistic Regression Intuition (pt 1).mp4 35.8 MB
Chapter 6 Topic Modeling/005. Latent Dirichlet Allocation (LDA) - Intuition (Advanced).mp4 33.1 MB
Chapter 4 Sentiment Analysis/006. Sentiment Analysis in Python (pt 1).mp4 31.0 MB
Chapter 3 Spam Detection/004. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 1).mp4 30.6 MB
Chapter 6 Topic Modeling/002. Latent Dirichlet Allocation (LDA) - Essentials.mp4 28.0 MB
Chapter 3 Spam Detection/005. Aside Class Imbalance, ROC, AUC, and F1 Score (pt 2).mp4 28.0 MB
Chapter 3 Spam Detection/002. Naive Bayes Intuition.mp4 27.5 MB
Chapter 7 Latent Semantic Analysis (Latent Semantic Indexing)/004. Latent Semantic Analysis Latent Semantic Indexing in Python.mp4 27.4 MB
Chapter 6 Topic Modeling/007. Non-Negative Matrix Factorization (NMF) Intuition.mp4 26.1 MB
Chapter 5 Text Summarization/006. TextRank - How It Really Works (Advanced).mp4 25.9 MB
Chapter 4 Sentiment Analysis/007. Sentiment Analysis in Python (pt 2).mp4 24.9 MB
Chapter 5 Text Summarization/005. TextRank Intuition.mp4 22.3 MB
Chapter 5 Text Summarization/009. Text Summarization in Python - The Easy Way (Beginner).mp4 21.9 MB
Chapter 4 Sentiment Analysis/004. Logistic Regression Training and Interpretation.mp4 21.4 MB
Chapter 4 Sentiment Analysis/001. Sentiment Analysis - Problem Description.mp4 20.8 MB

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【影视】 [ DevCourseWeb.com ] Udemy - Postgresql Databases Python Programming(Build App And Api)

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[ DevCourseWeb.com ] Udemy - Postgresql Databases Python Programming(Build App And Api) 3.1 GB

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【影视】 Создаем корпоративного Telegram бота на Python с ChatGPT внутри [Codemoon]

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2.2 Разработка пользовательской части.Создание Базы Данных. SQL.mp4 1.0 GB
6. Модернизация функции добавления задач. – Stepik.mp4 110.6 MB
7. Модернизация функции добавления задач. – Stepik.mp4 110.6 MB
4. Разработка админской части.Создание функции добавления задач. – Stepik.mp4 106.1 MB
3.2.mp4 97.6 MB
11. Размещение бота на сервере. Putty и FileZilla.Работа с BotFather – Stepik.mp4 92.8 MB
9. Разработка сервисной части. Создание отложенных функций. – Stepik.mp4 79.6 MB
10. Подключение CHATGPT в бота. – Stepik.mp4 79.6 MB
2. Что такое асинхронность. Создание проекта и подключение бота. – Stepik.mp4 78.3 MB
12.Размещение бота на сервере. Putty и FileZilla.Работа с BotFather – Stepik.mp4 75.8 MB
3.Проверка пользователя на существование. Работа с Базой Данных. – Stepik.mp4 58.3 MB
5 .Разработка админской части.Создание функции добавления задач. – Stepik.mp4 40.6 MB
1.Что сделаем. Какие навыки получим. Пример синтаксиса aiogram. – Stepik.mp4 12.4 MB
2.1.pdf 120.3 kB
8.1.pdf 119.5 kB
3.1.pdf 114.1 kB
7.1.pdf 102.0 kB

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【影视】 [ FreeCryptoLearn.com ] Udemy - Deep Learning for algorithmic trading using Python

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~Get Your Files Here !/4. Import and manage the data/2. Import & manage data from Metatrader 5.mp4 109.5 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/2. Quick recap of the DNN theory.mp4 90.0 MB
~Get Your Files Here !/3. Python for data science/4. Numpy Indexing Slicing transformation.mp4 89.6 MB
~Get Your Files Here !/2. Python basics/3. Type of object String.mp4 87.6 MB
~Get Your Files Here !/3. Python for data science/6. Pandas Cleaning and selection data.mp4 85.5 MB
~Get Your Files Here !/7. Vectorized backtesting/3. Beta ratio computation (CAPM metric).mp4 76.2 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/6. Create a DNN using Tensorflow 2.0.mp4 72.1 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/5. How to create a RNN using TensorFlow 2.0.mp4 70.4 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/7. RNN prediction to create a trading strategy.mp4 63.6 MB
~Get Your Files Here !/3. Python for data science/2. Numpy Array.mp4 63.0 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/7. Use the DNN predictions to create a trading strategy.mp4 62.2 MB
~Get Your Files Here !/7. Vectorized backtesting/2. Sortino ratio computation.mp4 60.3 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/11. Bagging method using the different ANNs.mp4 60.3 MB
~Get Your Files Here !/3. Python for data science/3. Numpy Random.mp4 56.8 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/3. Recap from the DNN chapter.mp4 54.1 MB
~Get Your Files Here !/2. Python basics/6. Type of object Tuple and list.mp4 52.3 MB
~Get Your Files Here !/2. Python basics/7. Type of object Dictionary.mp4 49.0 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/6. Get current positions.mp4 46.6 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/5. Send orders on the market using Python.mp4 46.6 MB
~Get Your Files Here !/4. Import and manage the data/3. Import & manage data from Yahoo Finance.mp4 46.0 MB

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【影视】 Natural Language Processing - Deep Learning Models in Python

收录时间:2024-07-20 文档个数:94 文档大小:934.1 MB 最近下载:2025-05-05 人气:2481 磁力链接

Chapter 6 Recurrent Neural Networks/009. Parts-of-Speech (POS) Tagging in Tensorflow.mp4 57.2 MB
Chapter 4 Feedforward Artificial Neural Networks/013. CBOW in Tensorflow (Advanced).mp4 54.1 MB
Chapter 5 Convolutional Neural Networks/006. CNN Architecture.mp4 42.5 MB
Chapter 3 The Neuron/004. Text Classification in Tensorflow.mp4 39.5 MB
Chapter 4 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 38.8 MB
Chapter 6 Recurrent Neural Networks/006. GRU and LSTM (pt 1).mp4 38.8 MB
Chapter 5 Convolutional Neural Networks/005. Convolution on Color Images.mp4 35.9 MB
Chapter 5 Convolutional Neural Networks/002. What is Convolution.mp4 35.5 MB
Chapter 3 The Neuron/002. Fitting a Line.mp4 34.0 MB
Chapter 6 Recurrent Neural Networks/005. RNNs Paying Attention to Shapes.mp4 28.8 MB
Chapter 6 Recurrent Neural Networks/007. GRU and LSTM (pt 2).mp4 25.6 MB
Chapter 4 Feedforward Artificial Neural Networks/008. Text Preprocessing Code Preparation.mp4 25.3 MB
Chapter 3 The Neuron/006. How does a model learn.mp4 23.6 MB
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Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
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Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
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Modulo 5 - Desenvolvimento Avançado com Flask/93.mp4 91.2 MB
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Modulo 3 - Programação Orientada a Objeto/47.mp4 85.5 MB
Modulo 5 - Desenvolvimento Avançado com Flask/86.mp4 84.4 MB
Modulo 5 - Desenvolvimento Avançado com Flask/97.mp4 81.6 MB
Modulo 5 - Desenvolvimento Avançado com Flask/98.mp4 81.0 MB
Modulo 02 - Aprendendo na Prática/16.mp4 79.1 MB
Modulo 02 - Aprendendo na Prática/14.mp4 78.1 MB
Modulo 4 - Desenvolvimento de APIs com Flask/65.mp4 78.1 MB
Modulo 01 - Introduçao ao Python/06.mp4 77.1 MB
Modulo 4 - Desenvolvimento de APIs com Flask/64.mp4 74.2 MB
Modulo 5 - Desenvolvimento Avançado com Flask/92.mp4 72.1 MB
Modulo 02 - Aprendendo na Prática/23.mp4 71.6 MB
Modulo 02 - Aprendendo na Prática/19.mp4 71.4 MB
Modulo 4 - Desenvolvimento de APIs com Flask/58.mp4 70.7 MB
Modulo 4 - Desenvolvimento de APIs com Flask/68.mp4 69.3 MB
Modulo 5 - Desenvolvimento Avançado com Flask/87.mp4 69.1 MB
Modulo 01 - Introduçao ao Python/03.mp4 69.1 MB

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4 Other charts/12. Ribbon Chart.mp4 65.2 MB
4 Other charts/16. Map chart.mp4 62.6 MB
2 Data Visualization with Python/03. Creating a Line chart with matplotlib.mp4 56.3 MB
2 Data Visualization with Python/04. Putting labels and creating dashed scatterplot.mp4 54.4 MB
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4 Other charts/13. Table and Matrix.mp4 48.2 MB
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4 Other charts/14. Drill Down Table and Matrix.mp4 38.7 MB
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5 Filters/18. Date Slicer.mp4 37.1 MB
2 Data Visualization with Python/06. More on Violin chart.mp4 36.3 MB
2 Data Visualization with Python/05. Violin chart with seaborn.mp4 33.4 MB
5 Filters/17. Slicer Basics.mp4 30.0 MB
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Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 3 Vector Models and Text Preprocessing/013. TF-IDF (Code).mp4 61.5 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 54.4 MB
Chapter 5 Setting Up Your Environment (AppendixFAQ by Student Request)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 3 Vector Models and Text Preprocessing/009. Count Vectorizer (Code).mp4 48.9 MB
Chapter 3 Vector Models and Text Preprocessing/015. How to Build TF-IDF From Scratch.mp4 39.9 MB
Chapter 7 Effective Learning Strategies for Machine Learning (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 3 Vector Models and Text Preprocessing/005. Tokenization.mp4 36.8 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
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Chapter 3 Vector Models and Text Preprocessing/004. Count Vectorizer (Theory).mp4 32.1 MB
Chapter 4 Looking Ahead/002. Neural Word Embeddings Demo.mp4 31.7 MB
Chapter 3 Vector Models and Text Preprocessing/011. TF-IDF (Theory).mp4 31.7 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 6 Extra Help With Python Coding for Beginners (AppendixFAQ by Student Request)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 3 Vector Models and Text Preprocessing/007. Stemming and Lemmatization.mp4 30.6 MB
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Chapter 3 Facebook Prophet/009. (The Dangers of) Prophet for Stock Price Prediction.mp4 66.2 MB
Chapter 3 Facebook Prophet/002. Prophet Code Preparation.mp4 51.6 MB
Chapter 3 Facebook Prophet/005. Prophet in Code Holidays and Exogenous Regressors.mp4 49.3 MB
Chapter 3 Facebook Prophet/008. Prophet Multiplicative Seasonality, Outliers, Non-Daily Data.mp4 48.6 MB
Chapter 3 Facebook Prophet/003. Prophet in Code Data Preparation.mp4 41.0 MB
Chapter 3 Facebook Prophet/004. Prophet in Code Fit, Forecast, Plot.mp4 39.8 MB
Chapter 2 Time Series Basics/002. Forecasting Metrics.mp4 35.2 MB
Chapter 2 Time Series Basics/003. The Naive Forecast and the Importance of Baselines.mp4 35.0 MB
Chapter 3 Facebook Prophet/001. How Does Prophet Work.mp4 34.1 MB
Chapter 3 Facebook Prophet/006. Prophet in Code Cross-Validation.mp4 33.2 MB
Chapter 2 Time Series Basics/004. Walk-Forward Validation.mp4 30.4 MB
Chapter 3 Facebook Prophet/007. Prophet in Code Changepoint Detection.mp4 29.8 MB
Chapter 2 Time Series Basics/001. Time Series Basics Section Introduction.mp4 23.9 MB
Chapter 2 Time Series Basics/005. Suggestion Box.mp4 18.6 MB
Chapter 1 Welcome/002. Outline.mp4 15.1 MB
Chapter 3 Facebook Prophet/010. Prophet Section Summary.mp4 14.5 MB
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