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Mastering Machine Learning Algorithms using Python

  • Chapter 13 Introduction to Deep Learning/001. Introduction to Deep Learning.mp4 262.8 MB
  • Chapter 04 Exploratory Data Analysis/009. EDA Project 7.mp4 138.3 MB
  • Chapter 03 Learning Python/010. Python Sets 1.mp4 136.7 MB
  • Chapter 06 Logistic Regression/006. Model Evaluation - AUC-ROC.mp4 127.3 MB
  • Chapter 03 Learning Python/023. Pandas DataFrame 5.mp4 126.1 MB
  • Chapter 12 Unsupervised Learning using K-Means Clustering/002. K-Means Clustering Computation.mp4 120.4 MB
  • Chapter 01 Introduction to Machine Learning/004. History of Machine Learning.mp4 115.6 MB
  • Chapter 06 Logistic Regression/004. Data Analysis and Feature Engineering.mp4 108.3 MB
  • Chapter 05 Linear Regression/010. Data Preparation and Analysis 3.mp4 104.6 MB
  • Chapter 02 Statistical Techniques/008. Hypothesis Testing.mp4 100.4 MB
  • Chapter 03 Learning Python/016. Pandas Series 2.mp4 98.3 MB
  • Chapter 06 Logistic Regression/002. Logit Model.mp4 96.7 MB
  • Chapter 01 Introduction to Machine Learning/007. Challenges in Machine Learning.mp4 95.0 MB
  • Chapter 02 Statistical Techniques/004. Histograms and Normal Approximation.mp4 93.4 MB
  • Chapter 09 Random Forest Ensemble/003. Model Building and Hyperparameter Tuning using Grid Search CV.mp4 92.2 MB
  • Chapter 05 Linear Regression/006. OLS Assumptions and Testing.mp4 91.4 MB
  • Chapter 03 Learning Python/007. Python Tuples.mp4 90.3 MB
  • Chapter 11 Dimensionality Reduction - Principal Component Analysis (PCA)/001. Principal Component Analysis - Concepts.mp4 90.0 MB
  • Chapter 08 Decision Tree Classifier/006. Model Optimization using Grid Search Cross Validation.mp4 89.7 MB
  • Chapter 03 Learning Python/003. Python Variables and Conditions.mp4 88.6 MB
[磁力链接] 添加时间:2024-08-05 大小:7.7 GB 最近下载:2025-10-26 热度:4209

[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python

  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4 32.6 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt 16.5 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4 46.7 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt 19.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4 13.5 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt 6.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4 33.3 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt 15.2 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4 33.8 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt 12.3 kB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4 38.0 MB
  • 001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.srt 26.8 kB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4 39.7 MB
  • 002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt 22.7 kB
  • 002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4 20.5 MB
  • 002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt 16.2 kB
  • 002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4 11.8 MB
  • 002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt 6.9 kB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4 23.6 MB
  • 002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt 17.5 kB
[磁力链接] 添加时间:2018-08-25 大小:923.9 MB 最近下载:2025-10-22 热度:4187

[GigaCourse.Com] Udemy - Machine Learning & Deep Learning in Python & R

  • 26. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 36. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 17. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 25. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 25. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 22. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 26. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 26. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 33. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
  • 7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
  • 24. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 37. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 36. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 26. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
  • 5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
  • 36. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 22. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
  • 7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
  • 13. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.3 MB
  • 34. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2023-12-26 大小:13.5 GB 最近下载:2025-10-27 热度:4148

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip

  • [ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip 3.5 GB
[磁力链接] 添加时间:2021-03-17 大小:3.5 GB 最近下载:2025-10-26 热度:4147

[ DevCourseWeb.com ] Udemy - Natural Language Processing with Machine Learning in Python.zip

  • [ DevCourseWeb.com ] Udemy - Natural Language Processing with Machine Learning in Python.zip 1.6 GB
[磁力链接] 添加时间:2021-06-02 大小:1.6 GB 最近下载:2025-10-27 热度:4065

[Udemy] A deep understanding of deep learning (with Python intro) (08.2021)

  • 19 Understand and design CNNs/005 Examine feature map activations.mp4 273.2 MB
  • 22 Style transfer/004 Transferring the screaming bathtub.mp4 227.4 MB
  • 19 Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 211.1 MB
  • 19 Understand and design CNNs/002 CNN to classify MNIST digits.mp4 210.1 MB
  • 07 ANNs/013 Multi-output ANN (iris dataset).mp4 195.8 MB
  • 19 Understand and design CNNs/004 Classify Gaussian blurs.mp4 194.1 MB
  • 09 Regularization/004 Dropout regularization in practice.mp4 192.1 MB
  • 16 Autoencoders/006 Autoencoder with tied weights.mp4 186.4 MB
  • 18 Convolution and transformations/003 Convolution in code.mp4 181.5 MB
  • 08 Overfitting and cross-validation/006 Cross-validation -- DataLoader.mp4 180.7 MB
  • 23 Generative adversarial networks/002 Linear GAN with MNIST.mp4 178.2 MB
  • 07 ANNs/009 Learning rates comparison.mp4 176.8 MB
  • 12 More on data/003 CodeChallenge_ unbalanced data.mp4 174.3 MB
  • 11 FFNs/003 FFN to classify digits.mp4 169.7 MB
  • 16 Autoencoders/005 The latent code of MNIST.mp4 169.7 MB
  • 07 ANNs/018 Model depth vs. breadth.mp4 166.6 MB
  • 12 More on data/007 Data feature augmentation.mp4 166.0 MB
  • 21 Transfer learning/007 Pretraining with autoencoders.mp4 164.2 MB
  • 14 FFN milestone projects/004 Project 2_ My solution.mp4 163.3 MB
  • 21 Transfer learning/008 CIFAR10 with autoencoder-pretrained model.mp4 160.8 MB
[磁力链接] 添加时间:2022-01-13 大小:22.7 GB 最近下载:2025-10-27 热度:4056

[ DevCourseWeb.com ] Udemy - Learn and Implement Machine Learning Projects using Python

  • ~Get Your Files Here !/2. Python Programming Concepts/1. Python 101 - Basic Python.mp4 490.2 MB
  • ~Get Your Files Here !/8. Data Visualization/1. Data Visualization using Power BI.mp4 415.3 MB
  • ~Get Your Files Here !/3. Learning Database Programming/5. Lecture 12 Running SQL Queries.mp4 336.0 MB
  • ~Get Your Files Here !/9. Additional Content/2. Federated Machine Learning in IoT.mp4 222.8 MB
  • ~Get Your Files Here !/9. Additional Content/1. Learn about Federated Machine Learning.mp4 210.0 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/4. Preprocessing of Dataset.mp4 170.2 MB
  • ~Get Your Files Here !/1. Data at the Core/7. Data Analytics v Data Scientist.mp4 167.6 MB
  • ~Get Your Files Here !/1. Data at the Core/6. Business Analysts v Data Analyst.mp4 167.2 MB
  • ~Get Your Files Here !/3. Learning Database Programming/4. SQL 101 - Session 4 - Designing a RDBMS database.mp4 135.2 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/2. Machine Learning Models.mp4 126.5 MB
  • ~Get Your Files Here !/1. Data at the Core/4. Artificial intelligence Applications.mp4 120.9 MB
  • ~Get Your Files Here !/7. Regression Algorithm/2. Python example of Simple Linear Regression.mp4 110.3 MB
  • ~Get Your Files Here !/7. Regression Algorithm/1. Regression Introduction.mp4 109.5 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/3. Measure of Variability and use of metric.mp4 109.5 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/2. Measure of Central Tendency.mp4 106.2 MB
  • ~Get Your Files Here !/6. Foundation of Machine Learning/1. Basic Concepts.mp4 102.3 MB
  • ~Get Your Files Here !/5. Understanding Data Visualization/2. Important Visualization plots and graphs.mp4 98.3 MB
  • ~Get Your Files Here !/7. Regression Algorithm/3. Understanding Regression model evaluation.mp4 80.7 MB
  • ~Get Your Files Here !/4. Statistics for Machine Learning/1. Understanding data.mp4 75.3 MB
  • ~Get Your Files Here !/1. Data at the Core/2. Overview of Machine Learning.mp4 64.7 MB
[磁力链接] 添加时间:2024-04-13 大小:3.7 GB 最近下载:2025-10-26 热度:4051

Deep Learning with Python, Second Edition, Video Edition

  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/03-Chapter 1 Understanding how deep learning works, in three figures.mp4 107.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/49-Chapter 9 Advanced deep learning for computer vision.mp4 104.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/33-Chapter 6 Collect a dataset.mp4 89.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/96-Chapter 14 Lifelong learning and modular subroutine reuse.mp4 88.2 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/02-Chapter 1 Learning rules and representations from data.mp4 87.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/04-Chapter 1 Before deep learning - A brief history of machine learning.mp4 86.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/74-Chapter 12 How do you generate sequence data.mp4 85.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/86-Chapter 14 Conclusions.mp4 85.1 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/77-Chapter 12 Neural style transfer.mp4 84.9 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/73-Chapter 12 Generative deep learning.mp4 84.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/27-Chapter 5 The nature of generalization in deep learning.mp4 84.4 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/66-Chapter 11 Two approaches for representing groups of words - Sets and sequences.mp4 83.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/71-Chapter 11 Beyond text classification - Sequence-to-sequence learning.mp4 83.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/36-Chapter 6 Deploy the model.mp4 82.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/05-Chapter 1 Back to neural networks.mp4 81.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/01-Chapter 1 What is deep learning.mp4 80.5 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/79-Chapter 12 Implementing a VAE with Keras.mp4 79.6 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/82-Chapter 13 Hyperparameter optimization.mp4 78.7 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/44-Chapter 8 The convolution operation.mp4 78.0 MB
  • [TutsNode.com] - Deep Learning with Python, Second Edition, Video Edition/55-Chapter 9 Visualizing heatmaps of class activation.mp4 77.9 MB
[磁力链接] 添加时间:2022-03-20 大小:6.2 GB 最近下载:2025-10-26 热度:4002

Learning Python How to become an effective Python programmer

  • TutsGalaxy.com.txt 41 Bytes
  • Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
  • Read Me.txt 80 Bytes
  • Learning Python How to become an effective Python programmer.zip 2.2 GB
[磁力链接] 添加时间:2018-09-04 大小:2.2 GB 最近下载:2025-10-26 热度:3993

[Udemy] Modern Deep Learning in Python (04.2021)

  • 18. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 323.8 MB
  • 9. GPU Speedup, Homework, and Other Misc Topics/2. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 247.8 MB
  • 18. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 201.4 MB
  • 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 143.0 MB
  • 20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 141.5 MB
  • 2. Review/6. Review Code (pt 2).mp4 133.0 MB
  • 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/4. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Code pt 2).mp4 115.9 MB
  • 19. 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 113.7 MB
  • 9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 106.9 MB
  • 11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 101.8 MB
  • 11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 100.9 MB
  • 19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4 98.1 MB
  • 15. PyTorch/1. PyTorch Basics.mp4 87.9 MB
  • 13. Batch Normalization/7. Batch Normalization Theano (part 2).mp4 80.0 MB
  • 5. Choosing Hyperparameters/3. Grid Search in Code.mp4 71.8 MB
  • 13. Batch Normalization/5. Batch Normalization Tensorflow (part 2).mp4 69.7 MB
  • 7. Theano/1. Theano Basics Variables, Functions, Expressions, Optimization.mp4 68.5 MB
  • 20. 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
  • 3. Stochastic Gradient Descent and Mini-Batch Gradient Descent/1. Stochastic Gradient Descent and Mini-Batch Gradient Descent (Theory).mp4 60.4 MB
  • 4. Momentum and adaptive learning rates/6. Adam Optimization (pt 1).mp4 57.8 MB
[磁力链接] 添加时间:2022-01-27 大小:4.0 GB 最近下载:2025-10-26 热度:3949

Linkedin Learning Python For Non-Programmers

  • 7. Project 3- Number Guesser/2. Higher lower and polish.mp4 20.2 MB
  • 3. Project 1- Fortune Cookie/2. Choosing what fortune to show.mp4 16.0 MB
  • 5. Project 2- Lyrics Analyzer/2. Counting the words.mp4 15.2 MB
  • 3. Project 1- Fortune Cookie/1. Picking random numbers.mp4 14.9 MB
  • 2. Python Basics/5. Booleans and if statements.mp4 14.2 MB
  • 4. Lists Loops and Dictionaries/3. For loops.mp4 14.2 MB
  • 7. Project 3- Number Guesser/1. Game loop.mp4 13.5 MB
  • 2. Python Basics/6. Comparison and else.mp4 13.3 MB
  • 6. Functions and More/5. Input.mp4 12.6 MB
  • 2. Python Basics/4. Using variables in strings.mp4 12.1 MB
  • 4. Lists Loops and Dictionaries/4. Dictionaries.mp4 11.8 MB
  • 2. Python Basics/1. Variables.mp4 11.5 MB
  • 5. Project 2- Lyrics Analyzer/1. Splitting a string.mp4 11.4 MB
  • 4. Lists Loops and Dictionaries/2. Lists- Add insert delete.mp4 11.4 MB
  • 2. Python Basics/3. Strings.mp4 10.4 MB
  • 6. Functions and More/3. Return.mp4 10.2 MB
  • 2. Python Basics/2. Numbers- Ints and floats.mp4 9.3 MB
  • 6. Functions and More/2. Parameters.mp4 9.3 MB
  • 4. Lists Loops and Dictionaries/1. Lists.mp4 9.3 MB
  • 6. Functions and More/4. Comments.mp4 8.9 MB
[磁力链接] 添加时间:2024-08-13 大小:298.5 MB 最近下载:2025-10-27 热度:3856

Python Machine Learning Bootcamp

  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/023 Text and Categorical Data.mp4 315.6 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/019 Grid and Randomized Search.mp4 297.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/027 Over and Undersampling.mp4 293.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/034 SVM Classification Practical.mp4 278.9 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/020 Handling Missing Values.mp4 268.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/028 Feature Importance.mp4 235.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/033 PCA Practical.mp4 231.7 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/006 Creating and Training a Binary Classifier.mp4 222.3 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/01 Pre-Machine Learning Steps/006 Data Preparation and Exploration.mp4 194.1 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/007 SGD Regression.mp4 186.2 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/004 Boston Housing Intro.mp4 174.1 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/037 Decision Tree Classifier Theory.mp4 171.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/014 Cross-Validation.mp4 170.7 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/022 Feature Scaling Practical.mp4 169.9 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/031 Multilabel Classification.mp4 160.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/002 Linear Regression Practical.mp4 149.4 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/02 Machine Learning Workflow/033 SVM Theory.mp4 148.2 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/003 Regularized Linear Regression Practical.mp4 147.5 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/050 Gaussian Mixture Practical.mp4 132.5 MB
  • [TutsNode.com] - Python Machine Learning Bootcamp/03 Regression/044 KMeans Practical.mp4 132.4 MB
[磁力链接] 添加时间:2022-04-01 大小:9.3 GB 最近下载:2025-10-27 热度:3843

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

[ DevCourseWeb.com ] Udemy - Video Instance Segmentation With Python Using Deep Learning

  • ~Get Your Files Here !/16 - Train Evaluate Visualize Instance Segmentation on Custom Dataset/19 - Train Evaluate Visualize Instance Segmentation on Custom Dataset.mp4 320.3 MB
  • ~Get Your Files Here !/12 - Overview of CNN RCNN Fast RCNN and Faster RCNN/15 - Overview of CNN RCNN Fast RCNN and Faster RCNN.mp4 223.8 MB
  • ~Get Your Files Here !/15 - Custom Dataset for Instance Segmentation/18 - Custom Dataset for Instance Segmentation.mp4 158.5 MB
  • ~Get Your Files Here !/14 - Get Started with PyTorch Facebook Library/17 - Get Started with PyTorch Facebook Library.mp4 132.0 MB
  • ~Get Your Files Here !/7 - HyperParameters for Training Instance Segmentation Model/9 - HyperParameters for Training Instance Segmentation YOLO8 Model.mp4 119.7 MB
  • ~Get Your Files Here !/8 - Training Instance Segmentation YOLOv8 on Vehicles Data/10 - Training YOLOv8 for Vehicles Instance Segmentation.mp4 106.6 MB
  • ~Get Your Files Here !/1 - Introduction to Course/1 - Introduction.mp4 100.2 MB
  • ~Get Your Files Here !/4 - YOLOv8 for Realtime Video Instance Segmentation/4 - Introduction to YOLOv8 for Realtime Video Instance Segmentation.mp4 84.6 MB
  • ~Get Your Files Here !/9 - Testing Segmentation YOLOv8 on Videos and Images/12 - Testing Segmentation YOLOv8 on Videos.mp4 82.8 MB
  • ~Get Your Files Here !/5 - Vehicles Instance Segmentation Dataset/5 - Vehicles Dataset for Instance Segmentation.mp4 53.4 MB
  • ~Get Your Files Here !/2 - What is Instance Segmentation/2 - What is Instance Segmentation.mp4 53.1 MB
  • ~Get Your Files Here !/11 - Resources YOLOv8 Complete Code and Segmentation Dataset/TestVideos/Highway Traffic.mp4 35.7 MB
  • ~Get Your Files Here !/5 - Vehicles Instance Segmentation Dataset/TestVideos/Highway Traffic.mp4 35.7 MB
  • ~Get Your Files Here !/9 - Testing Segmentation YOLOv8 on Videos and Images/11 - Testing Segmentation YOLOv8 on Images.mp4 32.4 MB
  • ~Get Your Files Here !/10 - Deploy Trained Instance Segmentation Model/13 - Deploy Trained Instance Segmentation Model.mp4 32.3 MB
  • ~Get Your Files Here !/13 - Mask RCNN for Instance Segmentation/16 - Introduction to Mask RCNN for Instance Segmentation.mp4 24.7 MB
  • ~Get Your Files Here !/3 - Introduction to YOLO and its Architecture/3 - Introduction to YOLO and its Architecture.mp4 19.3 MB
  • ~Get Your Files Here !/6 - Google Colab for Writing Python Code/7 - Google Colab for Writing Python Code.mp4 17.5 MB
  • ~Get Your Files Here !/17 - Resources Mask RCNN Complete Code and Segmentation Dataset/Instance Segmentation on Custom Dataset.ipynb 14.2 MB
  • ~Get Your Files Here !/6 - Google Colab for Writing Python Code/8 - Connect Google Colab With Google Drive To Read And Write Data.mp4 10.1 MB
[磁力链接] 添加时间:2024-02-19 大小:1.7 GB 最近下载:2025-10-26 热度:3806

[DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • [DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python.zip 404.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-14 大小:404.0 MB 最近下载:2025-10-25 热度:3788

2019 AWS SageMaker and Machine Learning - With Python

  • 2019 AWS SageMaker and Machine Learning - With Python.zip 4.5 GB
  • Download more courses.url 123 Bytes
  • Downloaded from TutsGalaxy.com.txt 73 Bytes
  • TutsGalaxy.com.txt 52 Bytes
[磁力链接] 添加时间:2021-03-12 大小:4.5 GB 最近下载:2025-10-27 热度:3748

[FreeCourseSite.com] Udemy - A deep understanding of deep learning (with Python intro)

  • 19 - Understand and design CNNs/005 Examine feature map activations.mp4 263.6 MB
  • 22 - Style transfer/004 Transferring the screaming bathtub.mp4 220.6 MB
  • 19 - Understand and design CNNs/004 Classify Gaussian blurs.mp4 184.6 MB
  • 07 - ANNs (Artificial Neural Networks)/009 Learning rates comparison.mp4 176.8 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/005 CodeChallenge sine wave extrapolation.mp4 174.7 MB
  • 18 - Convolution and transformations/003 Convolution in code.mp4 173.8 MB
  • 14 - FFN milestone projects/004 Project 2 My solution.mp4 163.3 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/004 Predicting alternating sequences.mp4 161.2 MB
  • 19 - Understand and design CNNs/002 CNN to classify MNIST digits.mp4 151.9 MB
  • 19 - Understand and design CNNs/012 The EMNIST dataset (letter recognition).mp4 150.9 MB
  • 07 - ANNs (Artificial Neural Networks)/013 Multi-output ANN (iris dataset).mp4 148.9 MB
  • 24 - RNNs (Recurrent Neural Networks) (and GRULSTM)/009 Lorem ipsum.mp4 148.5 MB
  • 16 - Autoencoders/004 AEs for occlusion.mp4 144.9 MB
  • 26 - Where to go from here/002 How to read academic DL papers.mp4 144.0 MB
  • 19 - Understand and design CNNs/011 Discover the Gaussian parameters.mp4 143.3 MB
  • 21 - Transfer learning/007 Pretraining with autoencoders.mp4 142.6 MB
  • 16 - Autoencoders/006 Autoencoder with tied weights.mp4 137.9 MB
  • 23 - Generative adversarial networks/004 CNN GAN with Gaussians.mp4 137.8 MB
  • 09 - Regularization/004 Dropout regularization in practice.mp4 137.1 MB
  • 07 - ANNs (Artificial Neural Networks)/008 ANN for classifying qwerties.mp4 136.7 MB
[磁力链接] 添加时间:2023-12-20 大小:17.2 GB 最近下载:2025-10-24 热度:3746

Machine Learning & Data Science with Python & Kaggle A-Z

  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/20. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.6 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/21. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/1. What is Kaggle.mp4 135.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/19. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/1. Installing Anaconda Distribution for Windows.mp4 124.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Project.mp4 122.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/2. Installations for Python/3. Installing Anaconda Distribution for Linux.mp4 120.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/24. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/22. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 110.9 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/26. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/3. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Examining Statistics of Variables.mp4 95.8 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/30. Exploratory Data Analysis (EDA) - Bi-variate Analysis/16. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 95.1 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/5. Linear Regression Algorithm in Machine Learning A-Z/5. Linear Regression Algorithm With Python Part 4.mp4 94.4 MB
  • [TutsNode.net] - Machine Learning & Data Science with Python & Kaggle A-Z/29. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 88.2 MB
[磁力链接] 添加时间:2024-02-28 大小:6.9 GB 最近下载:2025-10-26 热度:3732

Python Machine Learning and Data science Course 2023

  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/12 - Machine 2.mp4 300.6 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/40 - Pandas 1.mp4 203.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/14 - Machine 1.mp4 201.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/3 - Machine Learning Introduction/13 - Machine 3.mp4 201.4 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/4 - NumPy and Data Science/18 - Numpy 4.mp4 195.2 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/41 - Pandas 2.mp4 171.8 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/45 - Pandas 6.mp4 132.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/43 - Pandas 4.mp4 90.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/34 - Model 4.mp4 81.1 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/60 - Pandas 21.mp4 80.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/37 - Model 7.mp4 79.9 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/33 - Model 3.mp4 78.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/57 - Pandas 18.mp4 71.9 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/39 - Model 9.mp4 71.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/58 - Pandas 19.mp4 70.7 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/59 - Pandas 20.mp4 69.7 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/62 - Pandas 23.mp4 69.0 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/36 - Model 6.mp4 67.3 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/6 - Pandas for Data Science/42 - Pandas 3.mp4 66.2 MB
  • [TutsNode.net] - Python Machine Learning and Data science Course 2023/5 - Machine Learning Models/32 - Model 2.mp4 66.0 MB
[磁力链接] 添加时间:2023-12-25 大小:4.0 GB 最近下载:2025-10-26 热度:3727

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science with Python A-Z

  • 4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
  • 4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
  • 7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
  • 9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
  • 11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
  • 13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
  • 2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
  • 8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
  • 9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
  • 14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
  • 14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
  • 6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
  • 11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
  • 8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
  • 8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
  • 2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB
[磁力链接] 添加时间:2022-03-14 大小:3.3 GB 最近下载:2025-09-29 热度:3705


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