learning python -移花宫 -武林禁地，闲人禁止入内

Udemy - Recommender Systems and Deep Learning in Python (5.2024)

10 - Setting Up Your Environment FAQ by Student Request/82 - Anaconda Environment Setup.mp4 334.6 MB
10 - Setting Up Your Environment FAQ by Student Request/83 - How to How to install Numpy Theano Tensorflow etc.mp4 201.0 MB
3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 183.4 MB
7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 182.0 MB
5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.5 MB
6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 148.2 MB
12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/91 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 143.0 MB
12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.9 MB
9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 122.3 MB
11 - Extra Help With Python Coding for Beginners FAQ by Student Request/86 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.6 MB
11 - Extra Help With Python Coding for Beginners FAQ by Student Request/84 - How to Code by Yourself part 1.mp4 98.1 MB
7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.7 MB
7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.4 MB
5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.3 MB
5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.9 MB
5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.8 MB
2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.6 MB
13 - Appendix FAQ Finale/93 - BONUS.mp4 64.0 MB

[磁力链接] 添加时间:2025-07-09 大小:4.3 GB 最近下载:2025-10-26 热度:199

Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)

10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4 176.2 MB
10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.5 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.1 MB
01 - Introduction and Outline/002 Where to get the Code and Data.mp4 76.8 MB
04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4 72.9 MB
06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4 68.4 MB
06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4 67.4 MB
02 - Markov Models/004 The Math of Markov Chains.mp4 61.8 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4 56.9 MB
05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4 53.0 MB
02 - Markov Models/002 Markov Models.mp4 48.1 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 44.5 MB
06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4 43.7 MB
05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4 43.5 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4 42.7 MB
13 - Appendix FAQ Finale/002 BONUS.mp4 41.9 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 38.9 MB
07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 36.4 MB
04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4 35.9 MB

[磁力链接] 添加时间:2025-07-08 大小:2.1 GB 最近下载:2025-10-27 热度:189

Udemy - Unsupervised Deep Learning in Python (11.2018)

12. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
9. Applications to Recommender Systems/9. Recommender RBM Code pt 3.mp4 134.8 MB
9. Applications to Recommender Systems/5. AutoRec in Code.mp4 107.3 MB
10. Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.1 MB
10. Basics Review/1. (Review) Theano Basics.mp4 98.0 MB
10. Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.3 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.vtt 87.0 MB
9. Applications to Recommender Systems/10. Recommender RBM Code Speedup.mp4 87.0 MB
10. Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
12. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
9. Applications to Recommender Systems/7. Recommender RBM Code pt 1.mp4 73.8 MB
9. Applications to Recommender Systems/1. Recommender Systems Section Introduction.mp4 71.5 MB
10. Basics Review/6. (Review) Keras in Code pt 1.mp4 69.4 MB
2. Principal Components Analysis/9. PCA Application Naive Bayes.mp4 56.3 MB
2. Principal Components Analysis/3. Why does PCA work (PCA derivation).mp4 53.8 MB
2. Principal Components Analysis/2. How does PCA work.mp4 53.4 MB
5. Restricted Boltzmann Machines/6. Training an RBM (part 1).mp4 51.5 MB
9. Applications to Recommender Systems/4. AutoRec.mp4 51.3 MB
5. Restricted Boltzmann Machines/10. RBM in Code (Theano) with Greedy Layer-Wise Training on MNIST.mp4 50.1 MB

[磁力链接] 添加时间:2025-07-08 大小:3.1 GB 最近下载:2025-10-26 热度:220

Udemy - Cutting-Edge AI Deep Reinforcement Learning in Python (10.2022)

06 - Setting Up Your Environment (FAQ by Student Request)/001 Anaconda Environment Setup.mp4 183.7 MB
04 - DDPG (Deep Deterministic Policy Gradient)/005 DDPG Code (part 1).mp4 130.3 MB
03 - A2C (Advantage Actor-Critic)/010 A2C.mp4 122.6 MB
06 - Setting Up Your Environment (FAQ by Student Request)/002 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 114.3 MB
04 - DDPG (Deep Deterministic Policy Gradient)/004 MuJoCo.mp4 98.0 MB
05 - ES (Evolution Strategies)/007 ES for Flappy Bird in Code.mp4 95.8 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 85.2 MB
03 - A2C (Advantage Actor-Critic)/008 Environment Wrappers.mp4 84.5 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 79.4 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4 67.5 MB
03 - A2C (Advantage Actor-Critic)/001 A2C Section Introduction.mp4 59.6 MB
07 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4 58.8 MB
01 - Welcome/002 Outline.mp4 53.7 MB
08 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 53.3 MB
03 - A2C (Advantage Actor-Critic)/002 A2C Theory (part 1).mp4 51.6 MB
03 - A2C (Advantage Actor-Critic)/007 Multiple Processes.mp4 46.8 MB
05 - ES (Evolution Strategies)/002 ES Theory.mp4 45.9 MB
04 - DDPG (Deep Deterministic Policy Gradient)/006 DDPG Code (part 2).mp4 40.9 MB
09 - Appendix FAQ Finale/002 BONUS Lecture.mp4 39.6 MB
02 - Review of Fundamental Reinforcement Learning Concepts/003 Markov Decision Processes (MDPs).mp4 38.0 MB

[磁力链接] 添加时间:2025-07-08 大小:2.1 GB 最近下载:2025-10-24 热度:70

Udemy - Deep Learning Convolutional Neural Networks in Python (5.2025)

13. Setting Up Your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 324.1 MB
06. Natural Language Processing (NLP)/5. Text Classification with CNNs.mp4 313.4 MB
05. Convolutional Neural Networks/4. Why use 0-indexing.mp4 210.7 MB
13. Setting Up Your Environment (FAQ by Student Request)/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.3 MB
03. Machine Learning and Neurons/4. Classification Notebook.mp4 180.5 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.4 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/8. Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
02. Google Colab/2. Uploading your own data to Google Colab.mp4 108.3 MB
05. Convolutional Neural Networks/12. Improving CIFAR-10 Results (Legacy).mp4 106.1 MB
04. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 104.0 MB
14. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. How to Code by Yourself (part 1).mp4 98.1 MB
03. Machine Learning and Neurons/6. Regression Notebook.mp4 91.8 MB
02. Google Colab/1. Intro to Google Colab, how to use a GPU or TPU for free.mp4 75.1 MB
03. Machine Learning and Neurons/8. How does a model learn.mp4 63.5 MB
15. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 63.1 MB
05. Convolutional Neural Networks/6. CNN Architecture.mp4 62.6 MB
04. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 62.4 MB
06. Natural Language Processing (NLP)/3. Text Preprocessing.mp4 62.3 MB
05. Convolutional Neural Networks/7. CNN Code Preparation.mp4 60.4 MB

[磁力链接] 添加时间:2025-07-07 大小:4.2 GB 最近下载:2025-10-27 热度:591

Udemy - Data Science Supervised Machine Learning in Python (11.2024)

9 - Setting Up Your Environment FAQ by Student Request/43 - Anaconda Environment Setup.mp4 324.0 MB
9 - Setting Up Your Environment FAQ by Student Request/44 - How to install Numpy Scipy Matplotlib and SciKit Learn.mp4 201.3 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/52 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.9 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/51 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/47 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/45 - How to Code by Yourself part 1.mp4 98.1 MB
1 - Introduction and Review/3 - Where to get the Code and Data.mp4 64.2 MB
11 - Effective Learning Strategies for Machine Learning FAQ by Student Request/50 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 63.1 MB
4 - Decision Trees/28 - Decision Tree in Code.mp4 55.1 MB
3 - Naive Bayes and Bayes Classifiers/14 - Bayes Classifier Intuition Continuous.mp4 53.1 MB
3 - Naive Bayes and Bayes Classifiers/16 - Naive Bayes.mp4 49.7 MB
12 - Appendix FAQ Finale/54 - BONUS.mp4 45.2 MB
1 - Introduction and Review/1 - Introduction and Outline.mp4 40.8 MB
5 - Perceptrons/31 - Perceptron for MNIST and XOR.mp4 39.9 MB
5 - Perceptrons/29 - Perceptron Concepts.mp4 39.4 MB
3 - Naive Bayes and Bayes Classifiers/19 - NonNaive Bayes.mp4 37.0 MB
6 - Practical Machine Learning/37 - SciKit Learn.mp4 35.2 MB
3 - Naive Bayes and Bayes Classifiers/15 - Bayes Classifier Intuition Discrete.mp4 32.9 MB
2 - KNearest Neighbor/7 - KNN in Code with MNIST.mp4 31.9 MB
10 - Extra Help With Python Coding for Beginners FAQ by Student Request/46 - How to Code by Yourself part 2.mp4 30.7 MB

[磁力链接] 添加时间:2025-07-06 大小:2.2 GB 最近下载:2025-10-19 热度:177

Udemy - Artificial Intelligence Reinforcement Learning in Python (12.2024)

11 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.4 MB
4 - Markov Decision Proccesses/11 -Bellman Examples.mp4 91.3 MB
10 - Stock Trading Project with Reinforcement Learning/1 -Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
12 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8 - Approximation Methods/7 -Approximation Methods for Control Code.mp4 81.5 MB
2 - Return of the Multi-Armed Bandit/16 -Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5 - Dynamic Programming/5 -Iterative Policy Evaluation in Code.mp4 71.8 MB
10 - Stock Trading Project with Reinforcement Learning/7 -Code pt 2.mp4 68.5 MB
6 - Monte Carlo/5 -Monte Carlo Control in Code.mp4 67.5 MB
1 - Welcome/5 -Warmup.mp4 65.6 MB
8 - Approximation Methods/5 -Approximation Methods for Prediction Code.mp4 65.3 MB
4 - Markov Decision Proccesses/5 -Markov Decision Processes (MDPs).mp4 64.7 MB
5 - Dynamic Programming/2 -Iterative Policy Evaluation.mp4 63.7 MB
5 - Dynamic Programming/10 -Policy Iteration in Code.mp4 59.1 MB
4 - Markov Decision Proccesses/12 -Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2 - Return of the Multi-Armed Bandit/15 -Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2 - Return of the Multi-Armed Bandit/12 -UCB1 Theory.mp4 58.2 MB
3 - High Level Overview of Reinforcement Learning/1 -What is Reinforcement Learning.mp4 57.3 MB
4 - Markov Decision Proccesses/2 -Gridworld.mp4 56.6 MB
10 - Stock Trading Project with Reinforcement Learning/9 -Code pt 4.mp4 55.5 MB

[磁力链接] 添加时间:2025-07-05 大小:4.5 GB 最近下载:2025-10-26 热度:287

The Complete Ethical Hacking Course Bundle This Book Includes Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Hack Websites, Smartphones, Coding, and Cybersecurity Fundamentals

TheCompleteEthicalHackingCourseBundleThisBookIncludesPythonMachineLearningSQLLinuxHacki_ep6.m4b 1.4 GB

[磁力链接] 添加时间:2025-07-03 大小:1.4 GB 最近下载:2025-10-25 热度:335

Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)

13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4 283.9 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4 277.3 MB
14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4 276.6 MB
13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 174.6 MB
11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4 148.2 MB
08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4 140.5 MB
11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 131.3 MB
05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4 126.4 MB
08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4 121.8 MB
10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4 116.4 MB
10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4 112.9 MB
02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4 108.4 MB
01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4 100.8 MB
01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4 100.4 MB
10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4 99.7 MB

[磁力链接] 添加时间:2025-06-14 大小:8.4 GB 最近下载:2025-10-26 热度:1054

Udemy - Machine Learning & Deep Learning in Python & R (11.2021)

27 - ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 - Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 - Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 - ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 - ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 - Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 - ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 - ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 - Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 - Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 - Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 - Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 - Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 - ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 - Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 - Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 - Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 - Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 - Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 - Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2025-05-22 大小:13.5 GB 最近下载:2025-10-27 热度:602

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB

[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-10-26 热度:1025

[OneHack.Us] Coursera - Practical Deep Learning With Python 2025

03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 101.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 93.1 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 86.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 82.0 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 80.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 78.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 76.8 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4 65.1 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4 58.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 56.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 55.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4 52.6 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4 48.5 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4 47.4 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 46.1 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 44.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 44.1 MB

[磁力链接] 添加时间:2025-03-13 大小:2.9 GB 最近下载:2025-10-26 热度:4942

[OneHack.Us] Edureka.co - Applied Machine Learning With Python 2025

03-Association_Rule_Mining_And_Recommendation_System/01-Association_Rules/03-demonstrating_apriori_algorithm.mp4 91.9 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/02-terminologies_in_svm.mp4 90.4 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/03-hinge_loss_function_and_other_parameters.mp4 86.8 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/04-step_by_step_building_of_decision_tree.mp4 81.6 MB
01-Introduction_To_Machine_Learning/03-Regression/03-calculating_ols.mp4 79.1 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/08-example_of_naive_bayes_algorithm.mp4 78.5 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/10-demonstration_of_boosting_building_a_model.mp4 76.8 MB
02-Machine_Learning_Algorithms/02-Svm_Knn_And_Naive_Bayes_Algorithms/05-demonstration_of_svm_setting_up_the_svm_classifier.mp4 71.3 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/07-demonstration_building_decision_tree_and_random_forest.mp4 66.7 MB
02-Machine_Learning_Algorithms/01-Decision_Tree_And_Random_Forest/02-what_is_decision_tree.mp4 66.7 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/12-demonstration_of_k_means_clustering.mp4 64.1 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/04-eigen_values_and_eigen_vectors.mp4 62.3 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/02-example_for_calculating_confusion_matrix.mp4 61.4 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/09-demonstration_of_lda.mp4 61.4 MB
01-Introduction_To_Machine_Learning/04-Evaluation_Metrics/04-overfitting_and_underfitting.mp4 60.3 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/01-dimensionality_reduction.mp4 60.2 MB
01-Introduction_To_Machine_Learning/03-Regression/14-demonstration_of_logistic_regression_transforming_data.mp4 60.1 MB
03-Association_Rule_Mining_And_Recommendation_System/02-Recommendation_Engines/03-demonstration_of_recommendation_engine_preparing_data.mp4 59.5 MB
03-Association_Rule_Mining_And_Recommendation_System/03-Reinforcement_Learning_And_Boosting/03-demonstration_of_boosting_cleaning_and_transforming_dataset.mp4 59.0 MB
02-Machine_Learning_Algorithms/03-Dimensionality_Reduction/08-working_of_lda.mp4 58.2 MB

[磁力链接] 添加时间:2025-03-10 大小:3.9 GB 最近下载:2025-10-26 热度:3015

python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2

python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_jp2.zip 261.7 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr.html 31.1 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_chocr.html.gz 17.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.xml 16.6 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.pdf 9.9 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2.epub 5.5 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_djvu.txt 1.3 MB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_daisy.zip 654.8 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_searchtext.txt.gz 397.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_scandata.xml 269.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_page_numbers.json 131.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.sqlite 20.5 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_hocr_pageindex.json.gz 9.3 kB
python-machine-learning-and-deep-learning-with-python-scikit-learn-and-tensorflow-2_meta.xml 2.0 kB

[磁力链接] 添加时间:2025-03-08 大小:345.1 MB 最近下载:2025-08-09 热度:125

[ DevCourseWeb.com ] Deep Learning with Python - Optimizing Deep Learning Models

~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/05 - Using KerasTuner for hyperparameter tuning.mp4 24.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/07 - Training a deep learning model using callbacks.mp4 21.0 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/04 - Defining a tunable deep learning model in Keras.mp4 18.8 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/02 - Key hyperparameters in deep learning.mp4 15.6 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/06 - Learning rate scheduling.mp4 11.6 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/01 - Common loss functions in deep learning.mp4 11.1 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/03 - Methods for hyperparameter tuning.mp4 10.8 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/07 - Applying dropout regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/03 - Applying L1 regularization to a deep learning model.mp4 10.3 MB
~Get Your Files Here !/05 - 4. Hyperparameter Tuning Techniques/01 - Parameters versus hyperparameters.mp4 10.2 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/04 - Applying L2 regularization to a deep learning model.mp4 10.0 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/03 - Gradient clipping.mp4 9.9 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/04 - Applying gradient clipping to a deep learning model.mp4 9.4 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/05 - Adaptive Gradient Algorithm (AdaGrad).mp4 9.1 MB
~Get Your Files Here !/06 - 5. Advanced Training Techniques/02 - Applying batch normalization to a deep learning model.mp4 8.4 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/02 - Lasso and ridge regularization.mp4 7.8 MB
~Get Your Files Here !/04 - 3. Loss Functions and Optimization Algorithms/08 - Adaptive Moment Estimation (Adam).mp4 6.4 MB
~Get Your Files Here !/07 - Conclusion/01 - Continuing to optimize deep learning models.mp4 6.4 MB
~Get Your Files Here !/02 - 1. Optimizing Deep Learning Models/01 - The importance of optimizing deep learning models.mp4 6.3 MB
~Get Your Files Here !/03 - 2. Regularization Techniques/01 - The bias-variance trade-off.mp4 6.1 MB

[磁力链接] 添加时间:2025-03-08 大小:276.3 MB 最近下载:2025-10-27 热度:1891

Edureka - Practical Deep Learning With Python

03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 101.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 93.1 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 86.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 82.0 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 80.9 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 78.3 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 76.8 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4 65.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4 65.1 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4 61.8 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4 58.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 56.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 55.4 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4 52.6 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4 48.5 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4 47.4 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 46.1 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 44.2 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 44.1 MB

[磁力链接] 添加时间:2025-03-03 大小:2.9 GB 最近下载:2025-10-26 热度:5409

[FreeCourseSite.com] Udemy - Machine Learning & Deep Learning in Python & R

27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB

[磁力链接] 添加时间:2025-02-19 大小:14.1 GB 最近下载:2025-10-03 热度:68

Machine Learning A-Z AI, Python & R + ChatGPT Prize

37 - Convolutional Neural Networks/010 dataset.zip 232.4 MB
37 - Convolutional Neural Networks/001 dataset.zip 232.0 MB
37 - Convolutional Neural Networks/016 Hands-on CNN Training Using Jupyter Notebook for Image Classification.mp4 76.3 MB
41 - Kernel PCA/002 Implementing Kernel PCA for Non-Linear Data Step-by-Step Guide.mp4 72.2 MB
43 - Model Selection/004 Optimizing SVM Models with GridSearchCV A Step-by-Step Python Tutorial.mp4 71.1 MB
40 - Linear Discriminant Analysis (LDA)/003 Step-by-Step Guide Applying LDA for Feature Extraction in Machine Learning.mp4 68.1 MB
43 - Model Selection/005 Evaluating ML Model Accuracy K-Fold Cross-Validation Implementation in R.mp4 65.9 MB
20 - Naive Bayes/001 Understanding Bayes--' Theorem Intuitively From Probability to Machine Learning.mp4 65.6 MB
29 - Apriori/008 Step 3 Optimizing Product Placement - Apriori Algorithm, Lift --& Confidence.mp4 65.2 MB
29 - Apriori/006 Step 1 - Creating a Sparse Matrix for Association Rule Mining in R.mp4 64.2 MB
29 - Apriori/005 Step 4 Visualizing Apriori Algorithm Results for Product Deals in Python.mp4 63.6 MB
37 - Convolutional Neural Networks/007 Step 4 - Fully Connected Layers in CNNs Optimizing Feature Combination.mp4 62.6 MB
33 - Thompson Sampling/008 Step 1 - Thompson Sampling vs UCB Optimizing Ad Click-Through Rates in R.mp4 61.5 MB
33 - Thompson Sampling/001 Understanding Thompson Sampling Algorithm Intuition and Implementation.mp4 61.3 MB
44 - XGBoost/003 XGBoost Tutorial Implementing Gradient Boosting for Classification Problems.mp4 60.3 MB
36 - Artificial Neural Networks/011 Step 2 - TensorFlow 2.0 Tutorial Preprocessing Data for Customer Churn Model.mp4 60.1 MB
37 - Convolutional Neural Networks/009 Deep Learning Essentials Understanding Softmax and Cross-Entropy in CNNs.mp4 59.2 MB
29 - Apriori/001 Apriori Algorithm Uncovering Hidden Patterns in Data Mining Association Rules.mp4 58.8 MB
32 - Upper Confidence Bound (UCB)/012 Step 3 Optimizing Ad Selection - UCB --& Multi-Armed Bandit Algorithm Explained.mp4 58.4 MB
37 - Convolutional Neural Networks/013 Step 3 - TensorFlow CNN Convolution to Output Layer for Vision Tasks.mp4 57.9 MB

[磁力链接] 添加时间:2025-02-16 大小:8.7 GB 最近下载:2025-10-26 热度:3813

[ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip

[ TutGee.com ] Udemy - Exploring & Learning GeoPandas [Incl Python, Numpy, Pandas].zip 989.1 MB

[磁力链接] 添加时间:2025-02-02 大小:989.1 MB 最近下载:2025-10-25 热度:426

The Complete Ensemble Learning Course 2021 With Python

[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/004 Stacking for regression Implementation.mp4 289.7 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/05 Stacking Method/005 Stacking for classification Implementation.mp4 237.4 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/007 Analysing our results.mp4 218.4 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/008 Stacking Implementation.mp4 207.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/005 Creating the dot model.mp4 207.2 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/005 Validation Curves Implementation.mp4 207.0 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/03 Basic Ensemble Learning concept/006 Learning Curves Implementation.mp4 203.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/003 AdaBoost Implementation Method 1.mp4 202.0 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/005 Simple Bitcoin Prediction.mp4 187.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/008 Gradient boosting Implementation Method 1.mp4 168.1 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/002 Custom hard voting implementation Part 1.mp4 166.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/11 Movie Recommendation system -REAL WORLD PROBLEMS/007 Creating a stacking ensemble.mp4 157.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/02 Basic Machine Learning concept/013 K-means Implementation.mp4 156.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/006 Simulator Implementation.mp4 153.7 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/006 Soft voting implementation by Using scikit-learn.mp4 152.9 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/06 Bagging Method/006 Bagging Implementation Method 1.mp4 141.2 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/10 Predicting Bitcoin Prices - REAL WORLD PROBLEMS/007 Voting Implementation.mp4 138.3 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/09 Clustering/004 K-means Implementation Part 2.mp4 136.1 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/04 Voting Method/004 Analysing our results.mp4 126.5 MB
[TutsNode.com] - The Complete Ensemble Learning Course 2021 With Python/07 Boosting Method/007 Introduction to Gradient boosting.mp4 121.5 MB

[磁力链接] 添加时间:2025-01-13 大小:7.3 GB 最近下载:2025-09-29 热度:426