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【影视】 [GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

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16 Projects/002 Project - 2.mp4 114.4 MB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 90.1 MB
16 Projects/003 Project - 3.mp4 86.3 MB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
05 Numpy Library/005 Numpy Functions.mp4 81.2 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 75.8 MB
06 Using Pandas for Data Manipulation/002 Series and Features.mp4 70.4 MB
03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
05 Numpy Library/007 Numpy Exercises.mp4 66.1 MB
04 Object Oriented Programming/005 Overriding and Overloading.mp4 61.7 MB
11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 58.8 MB
08 Matplotlib/005 Figure Customization.mp4 57.3 MB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 57.0 MB
07 Data Frame with Pandas/011 Work with Dataset Files.mp4 56.8 MB
08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 53.9 MB
03 Fundamentals of Python/004 Loops.mp4 51.5 MB
03 Fundamentals of Python/010 Exercise Solution.mp4 50.0 MB
12 Artificial Neural Network/004 Tensor Operations.mp4 49.9 MB
03 Fundamentals of Python/001 Data Types in Python.mp4 43.1 MB
03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 42.4 MB

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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

收录时间:2024-07-27 文档个数:677 文档大小:1.3 GB 最近下载:2025-05-15 人气:3526 磁力链接

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】 The Piano Journey The Definitive Piano Learning Experience

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21 - PROGRESSIONS/168 - Progression 4 F Bb C Dm.mp4 420.4 MB
18 - ACCOMPANYING LUCIA Someone Like You/128 - Someone Like You 1 Lucia.mp4 351.2 MB
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7 - AMBAS MANOS NO SIMULTANEAS/63 - Reading notes 3 Practice.mp4 293.8 MB
21 - PROGRESSIONS/165 - Progression 3 Am C Dm F.mp4 290.5 MB
12 - ACCOMPANYING LUCIA Perfect/103 - Perfect 1 Lucia.mp4 287.8 MB
21 - PROGRESSIONS/162 - Progression 1 F Dm Bb C.mp4 283.4 MB
8 - MANOS SIMULTANEAS/74 - Hands Together 1.mp4 283.2 MB
20 - JAZZ/160 - What a Wonderful World.mp4 265.4 MB
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3 - MUSIC THEORY 1/9 - Pulse Tempo and Time Signature.mp4 233.4 MB
12 - ACCOMPANYING LUCIA Perfect/104 - Perfect 2 Lucia.mp4 231.1 MB
1 - Introduction/1 - WELCOME TO THIS COURSE.mp4 230.6 MB
12 - ACCOMPANYING LUCIA Perfect/106 - Perfect 4 Lucia.mp4 226.0 MB
12 - ACCOMPANYING LUCIA Perfect/105 - Perfect 3 Lucia.mp4 224.0 MB
5 - CANCIONES CON UNA MANO/29 - Reading notes 2 PRACTICE.mp4 221.3 MB
20 - JAZZ/159 - Piano Man.mp4 220.4 MB

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【影视】 [CourseClub.Me] Coursera – Preparing for Google Cloud Certification Machine Learning Engineer Professional Certificate

收录时间:2024-07-24 文档个数:431 文档大小:164.9 MB 最近下载:2025-05-16 人气:969 磁力链接

Coursera - Production Machine Learning Systems/05_building-hybrid-ml-systems/01_introduction/01_introduction.mp4 18.0 MB
Coursera - Feature Engineering/03_module-2-raw-data-to-features/02_overview/01_overview-of-feature-engineering.mp4 17.2 MB
Coursera - ML Pipelines on Google Cloud/08_ml-pipelines-with-mlflow/02_mlflow-components/03_mlflow-models.mp4 13.0 MB
Coursera - ML Pipelines on Google Cloud/08_ml-pipelines-with-mlflow/02_mlflow-components/01_mlflow-tracking.mp4 10.0 MB
Coursera - Feature Engineering/08_Resources/04_resource-all-slides/01__T-MLGCP4-A__FE_CourseSlides.pdf 9.5 MB
Coursera - Launching into Machine Learning/06_optimization/05_performance-metrics/02_confusion-matrix.mp4 8.7 MB
Coursera - Launching into Machine Learning/06_optimization/03_gradient-descent/03_ml-model-pitfalls.mp4 8.4 MB
Coursera - ML Pipelines on Google Cloud/08_ml-pipelines-with-mlflow/02_mlflow-components/02_mlflow-projects.mp4 7.1 MB
Coursera - Launching into Machine Learning/06_optimization/03_gradient-descent/01_gradient-descent.mp4 6.8 MB
Coursera - How Google does Machine Learning/09_Resources/04_module-4-slides/01__Module_4-Inclusive_ML.pdf 6.7 MB
Coursera - Machine Learning in the Enterprise/03_data-in-the-enterprise/03_pre-ga-tools/01_dataplex.mp4 6.3 MB
Coursera - Machine Learning in the Enterprise/03_data-in-the-enterprise/03_pre-ga-tools/02_analytics-hub.mp4 5.8 MB
Coursera - How Google does Machine Learning/09_Resources/06_module-6-slides/01__Module_6-Summary.pdf 5.4 MB
Coursera - Launching into Machine Learning/06_optimization/02_defining-ml-models/01_defining-ml-models.mp4 5.2 MB
Coursera - How Google does Machine Learning/09_Resources/03_module-3-slides/01__Module_3-How_Google_Does_ML.pdf 5.2 MB
Coursera - Launching into Machine Learning/06_optimization/05_performance-metrics/01_performance-metrics.mp4 4.6 MB
Coursera - Production Machine Learning Systems/05_building-hybrid-ml-systems/02_kubeflow/01_kubeflow.mp4 4.0 MB
Coursera - Machine Learning in the Enterprise/09_series-summary/01_course-series-summary/01_series-summary.mp4 3.7 MB
Coursera - Launching into Machine Learning/06_optimization/03_gradient-descent/02_troubleshooting-loss-curves.mp4 3.1 MB
Coursera - Feature Engineering/03_module-2-raw-data-to-features/02_overview/02_raw-data-to-features.mp4 2.5 MB

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【影视】 Math 0-1 - Matrix Calculus in Data Science and Machine Learning

收录时间:2024-07-24 文档个数:72 文档大小:981.8 MB 最近下载:2025-05-16 人气:3786 磁力链接

Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/002. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 68.1 MB
Chapter 2 Matrix and Vector Derivatives/007. Exercise Gaussian.mp4 67.8 MB
Chapter 3 Optimization Techniques/003. Gradient Descent (One Dimension).mp4 56.2 MB
Chapter 2 Matrix and Vector Derivatives/003. Quadratic Form (pt 1).mp4 56.2 MB
Chapter 4 Setting Up Your Environment (AppendixFAQ by Student Request)/001. Anaconda Environment Setup.mp4 49.5 MB
Chapter 2 Matrix and Vector Derivatives/010. Chain Rule Generalized.mp4 47.5 MB
Chapter 3 Optimization Techniques/008. Exercise Code Preparation.mp4 42.4 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 41.7 MB
Chapter 2 Matrix and Vector Derivatives/012. Left and Right Inverse as Optimization Problems.mp4 40.8 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/001. Can YouTube Teach Me Calculus (Optional).mp4 40.7 MB
Chapter 3 Optimization Techniques/006. Newton's Method (Multiple Dimensions).mp4 39.1 MB
Chapter 3 Optimization Techniques/009. Gradient Descent and Newton's Method in Python.mp4 37.1 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/004. What order should I take your courses in (part 2).mp4 36.3 MB
Chapter 2 Matrix and Vector Derivatives/009. Chain Rule in Matrix Form.mp4 30.8 MB
Chapter 5 Effective Learning Strategies (AppendixFAQ by Student Request)/003. What order should I take your courses in (part 1).mp4 27.9 MB
Chapter 2 Matrix and Vector Derivatives/008. Chain Rule.mp4 25.1 MB
Chapter 2 Matrix and Vector Derivatives/013. Derivative of Determinant.mp4 24.8 MB
Chapter 2 Matrix and Vector Derivatives/006. Exercise Least Squares.mp4 22.7 MB
Chapter 3 Optimization Techniques/005. Newton's Method (One Dimension).mp4 22.5 MB
Chapter 3 Optimization Techniques/007. Exercise Newton's Method for Least Squares.mp4 22.3 MB

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【影视】 [ CourseHulu.com ] Linkedin - Machine Learning with AWS DeepRacer

收录时间:2024-07-24 文档个数:38 文档大小:259.4 MB 最近下载:2025-04-18 人气:254 磁力链接

~Get Your Files Here !/02 - 1. Start Your Engines/01 - What is AWS DeepRacer.mp4 44.3 MB
~Get Your Files Here !/03 - 2. The Fast Straight/01 - Assembling AWS DeepRacer.mp4 40.8 MB
~Get Your Files Here !/02 - 1. Start Your Engines/02 - What is reinforcement learning.mp4 35.4 MB
~Get Your Files Here !/03 - 2. The Fast Straight/04 - Building a real-world track.mp4 21.1 MB
~Get Your Files Here !/04 - 3. Taking the Lead/02 - Building your first model.mp4 16.3 MB
~Get Your Files Here !/05 - 4. The Final Lap/01 - The reward function.mp4 14.5 MB
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~Get Your Files Here !/04 - 3. Taking the Lead/01 - The AWS DeepRacer console.mp4 12.9 MB
~Get Your Files Here !/03 - 2. The Fast Straight/02 - Calibrating the car.mp4 12.2 MB
~Get Your Files Here !/05 - 4. The Final Lap/03 - Incremental training.mp4 11.7 MB
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~Get Your Files Here !/06 - Conclusion/01 - Next steps The AWS DeepRacer League.mp4 7.3 MB
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【影视】 Natural Language Processing - Machine Learning Models in Python

收录时间:2024-07-23 文档个数:90 文档大小:827.1 MB 最近下载:2025-05-16 人气:4523 磁力链接

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】 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:2025-05-16 人气:4380 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
Chapter 4 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 23.5 MB
Chapter 6 Recurrent Neural Networks/008. RNN for Text Classification in Tensorflow.mp4 22.1 MB
Chapter 6 Recurrent Neural Networks/004. RNN Code Preparation.mp4 21.5 MB
Chapter 4 Feedforward Artificial Neural Networks/010. Embeddings.mp4 21.4 MB
Chapter 3 The Neuron/005. The Neuron.mp4 21.1 MB
Chapter 4 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 21.0 MB
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【影视】 Coursera - Statistical Learning for Data Science Specialization 2024

收录时间:2024-07-17 文档个数:225 文档大小:4.0 GB 最近下载:2025-05-09 人气:368 磁力链接

Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/01_neural-networks-part-1.mp4 196.1 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/01_support-vector-machines-part-1.mp4 164.8 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/02_neural-networks-part-2.mp4 155.0 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/03_neural-networks-part-3.mp4 151.9 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/03_support-vector-machines-part-3.mp4 146.1 MB
Coursera - Resampling, Selection and Splines 2024-5/01_welcome-and-review/04_general-additive-models-gam-review/01_general-additive-models-part-1.mp4 142.5 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/03_introduction-to-neural-networks/01_neural-networks/05_neural-networks-and-its-application-to-unsupervised-learning.mp4 138.9 MB
Coursera - Trees, SVM and Unsupervised Learning 2024-5/02_support-vector-machines-svms/01_introduction-to-svms/04_support-vector-machines-part-4.mp4 137.4 MB
Coursera - Resampling, Selection and Splines 2024-5/03_shrink-methods/03_principle-component-analysis-pca/02_pca-in-terms-of-svd.mp4 123.6 MB
Coursera - Resampling, Selection and Splines 2024-5/02_generalized-least-squares/01_introduction-to-generalized-least-squares/01_generalized-least-squares.mp4 107.7 MB
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