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[ DevCourseWeb.com ] Udemy - Data Science with Machine Learning Algorithm using Python.zip

  • [ DevCourseWeb.com ] Udemy - Data Science with Machine Learning Algorithm using Python.zip 4.0 GB
[磁力链接] 添加时间:2021-03-10 大小:4.0 GB 最近下载:2025-11-02 热度:1709

[FreeCourseSite.com] Udemy - Data Science Supervised Machine Learning in Python

  • 9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
  • 9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
  • 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, and Sci-Kit Learn.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. K-Nearest Neighbor/7. Effect of K.mp4 37.5 MB
  • 4. Decision Trees/6. Decision Tree in Code.mp4 31.8 MB
  • 9. Appendix/11. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Decision Trees/1. Decision Tree Intuition.mp4 21.4 MB
  • 2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
  • 2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
  • 6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
  • 3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
  • 9. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
  • 3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 15.1 MB
  • 4. Decision Trees/4. Maximizing Information Gain.mp4 14.6 MB
  • 5. Perceptrons/2. Perceptron in Code.mp4 14.4 MB
[磁力链接] 添加时间:2022-01-09 大小:1.1 GB 最近下载:2025-11-02 热度:2707

[GigaCourse.Com] Udemy - Machine Learning, Data Science and Generative AI with Python

  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/007 The New OpenAI Fine-Tuning API; Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
  • 14 - Retrieval Augmented Generation (RAG)/002 Demo Using Retrieval Augmented Generation (RAG) to simulate Data from Star Trek.mp4 193.4 MB
  • 13 - The OpenAI API (Developing with GPT and ChatGPT)/006 [Demo] Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 179.0 MB
  • 11 - Generative Models/002 Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
  • 08 - Apache Spark Machine Learning on Big Data/003 [Activity] Installing Spark.mp4 148.2 MB
  • 08 - Apache Spark Machine Learning on Big Data/007 Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 11 - Generative Models/005 Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
  • 06 - More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4 131.3 MB
  • 05 - Recommender Systems/005 [Activity] Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
  • 10 - Deep Learning and Neural Networks/017 The Ethics of Deep Learning.mp4 126.4 MB
  • 08 - Apache Spark Machine Learning on Big Data/008 [Activity] K-Means Clustering in Spark.mp4 121.8 MB
  • 10 - Deep Learning and Neural Networks/014 [Activity] Transfer Learning.mp4 116.4 MB
  • 10 - Deep Learning and Neural Networks/006 [Activity] Using Tensorflow, Part 1.mp4 112.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/004 [Activity] Variation and Standard Deviation.mp4 108.4 MB
  • 01 - Getting Started/005 [Activity] WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
  • 01 - Getting Started/006 [Activity] MAC Installing and Using Anaconda & Course Materials.mp4 100.9 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/009 [Activity] Advanced Visualization with Seaborn.mp4 100.8 MB
  • 10 - Deep Learning and Neural Networks/007 [Activity] Using Tensorflow, Part 2.mp4 99.7 MB
  • 03 - Predictive Models/003 [Activity] Multiple Regression, and Predicting Car Prices.mp4 98.7 MB
  • 02 - Statistics and Probability Refresher, and Python Practice/011 [Exercise] Conditional Probability.mp4 98.5 MB
[磁力链接] 添加时间:2024-05-08 大小:7.7 GB 最近下载:2025-11-02 热度:13843

[DesireCourse.Com] Udemy - Data Science and Machine Learning Bootcamp with R

  • 18. Capstone Data Project/2. Capstone Project Solutions Walkthrough.mp4 57.1 MB
  • 19. Introduction to Machine Learning with R/2. Introduction to Machine Learning.mp4 50.9 MB
  • 21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 50.1 MB
  • 23. Machine Learning Project - Logistic Regression/2. Logistic Regression Project Solutions - Part 1.mp4 49.7 MB
  • 14. Data Manipulation with R/8. Guide to Using Tidyr.mp4 49.4 MB
  • 20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 49.2 MB
  • 33. Machine Learning with R - Neural Nets/2. Neural Nets with R.mp4 48.5 MB
  • 20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 48.2 MB
  • 15. Data Visualization with R/2. Histograms.mp4 47.8 MB
  • 1. Course Introduction/4.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip.zip 47.8 MB
  • 22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 42.9 MB
  • 24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 42.4 MB
  • 22. Machine Learning with R - Logistic Regression/2. Logistic Regression with R - Part 1.mp4 41.5 MB
  • 15. Data Visualization with R/3. Scatterplots.mp4 39.4 MB
  • 12. R Programming Basics/10. Functions Training Exercise - Solutions.mp4 38.5 MB
  • 32. Machine Learning with R - Natural Language Processing/3. Natural Language Processing with R - Part 2.mp4 37.4 MB
  • 12. R Programming Basics/8. Functions.mp4 36.8 MB
  • 18. Capstone Data Project/1. Introduction to Capstone Project.mp4 36.7 MB
  • 9. R Data Frames/5. Overview of Data Frame Operations - Part 2.mp4 35.8 MB
[磁力链接] 添加时间:2021-04-10 大小:2.6 GB 最近下载:2025-11-02 热度:2692

[Udemy] Python for Data Science and Machine Learning Bootcamp (2020) [En]

  • 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 116.8 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 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
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
  • 26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 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
[磁力链接] 添加时间:2021-04-02 大小:6.0 GB 最近下载:2025-11-02 热度:1288

[FreeCourseSite.com] Udemy - Complete Python for Data Science & Machine Learning from A-Z

  • 53. Competition Section on Kaggle/2. Competitions on Kaggle Lesson 2.mp4 201.1 MB
  • 53. Competition Section on Kaggle/1. Competitions on Kaggle Lesson 1.mp4 197.3 MB
  • 55. Code Section on Kaggle/3. Examining the Code Section in Kaggle Lesson 3.mp4 167.7 MB
  • 54. Dataset Section on Kaggle/1. Datasets on Kaggle.mp4 139.6 MB
  • 1. Installations/1. Installing Anaconda Distribution for Windows.mp4 136.7 MB
  • 52. First Contact with Kaggle/1. What is Kaggle.mp4 136.0 MB
  • 1. Installations/3. Installing Anaconda Distribution for Linux.mp4 133.4 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 133.0 MB
  • 52. First Contact with Kaggle/5. Getting to Know the Kaggle Homepage.mp4 128.9 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 122.9 MB
  • 32. Matplotlib/8. Basic Plots in Matplotlib I.mp4 116.6 MB
  • 57. Other Most Used Options on Kaggle/2. Ranking Among Users on Kaggle.mp4 112.3 MB
  • 38. Linear Regression Algorithm in Machine Learning A-Z/3. Linear Regression Algorithm With Python Part 2.mp4 112.1 MB
  • 55. Code Section on Kaggle/2. Examining the Code Section in Kaggle Lesson 2.mp4 111.0 MB
  • 59. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 110.1 MB
  • 36. Evaluation Metrics in Machine Learning/2. Machine Learning Model Performance Evaluation Classification Error Metrics.mp4 105.2 MB
  • 33. Seaborn/5. Basic Plots in Seaborn.mp4 103.6 MB
  • 36. Evaluation Metrics in Machine Learning/4. Machine Learning With Python.mp4 96.7 MB
  • 61. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 95.8 MB
  • 29. Functions That Can Be Applied on a DataFrame/3. Aggregation Functions in Pandas DataFrames.mp4 95.1 MB
[磁力链接] 添加时间:2024-02-16 大小:13.1 GB 最近下载:2025-11-02 热度:3436

[ DevCourseWeb.com ] Udemy - Mastering Data Science, Machine Learning, and AI

  • ~Get Your Files Here !/10. Ethics and Bias in AI/1. The impact of AI on society and ethics.mp4 29.7 MB
  • ~Get Your Files Here !/11. Conclusion/2. Opportunities and challenges in data science, machine learning, and AI.mp4 29.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/2. The process of data science and its different stages.mp4 28.6 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/3. Different fields that use data science and examples of real-world applications.mp4 27.7 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/2. Types of artificial intelligence and their applications.mp4 27.0 MB
  • ~Get Your Files Here !/1. Introduction to Data Science/4. Overview of the tools and techniques used in data science.mp4 26.3 MB
  • ~Get Your Files Here !/4. Statistical Modeling/1. Overview of statistics and probability.mp4 26.3 MB
  • ~Get Your Files Here !/5. Machine Learning/2. Different types of machine learning algorithms.mp4 25.6 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/1. Sources of data and methods of collecting data.mp4 24.6 MB
  • ~Get Your Files Here !/11. Conclusion/3. Suggestions for further learning and resources.mp4 24.3 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/1. Univariate and multivariate analysis.mp4 23.9 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/3. Identifying relationships and patterns in data.mp4 23.2 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/2. Understanding and cleaning data.mp4 22.9 MB
  • ~Get Your Files Here !/2. Data Collection and Preprocessing/4. Feature engineering and selection.mp4 21.7 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/2. Dimensionality reduction.mp4 20.5 MB
  • ~Get Your Files Here !/8. Reinforcement Learning/3. Policy gradient methods.mp4 20.2 MB
  • ~Get Your Files Here !/9. Artificial Intelligence/1. Definition and history of artificial intelligence.mp4 19.6 MB
  • ~Get Your Files Here !/4. Statistical Modeling/4. Model evaluation and selection.mp4 19.4 MB
  • ~Get Your Files Here !/3. Exploratory Data Analysis/2. Data visualization techniques.mp4 19.2 MB
  • ~Get Your Files Here !/7. Unsupervised Learning/3. Anomaly detection.mp4 19.0 MB
[磁力链接] 添加时间:2024-01-26 大小:768.0 MB 最近下载:2025-11-02 热度:780

[FreeCourseSite.com] Udemy - Python-Introduction to Data Science and Machine learning A-Z

  • 1. Introduction/2. What is Data Science.mp4 275.7 MB
  • 8. Machine Learning/2. Presentation of Different algorithms.mp4 255.0 MB
  • 2. Basic Statstics knowledge/3. The basics of statistics part 2.mp4 202.3 MB
  • 2. Basic Statstics knowledge/7. The basics of statistics part 6.mp4 180.5 MB
  • 8. Machine Learning/4. Machine learning algorithms part 2.mp4 170.4 MB
  • 8. Machine Learning/1. Introduction to machine learning.mp4 138.4 MB
  • 2. Basic Statstics knowledge/1. The Basics of Data.mp4 130.4 MB
  • 2. Basic Statstics knowledge/5. The basics of statistics part 4.mp4 122.9 MB
  • 2. Basic Statstics knowledge/6. The basics of statistics part 5.mp4 120.4 MB
  • 2. Basic Statstics knowledge/2. The basics of statistics part 1.mp4 115.4 MB
  • 1. Introduction/1. Introduction.mp4 106.6 MB
  • 4. Python library Pandas/1. The Basics of Pandas.mp4 93.3 MB
  • 3. Python library NumPy/1. Introduction to Numpy.mp4 87.5 MB
  • 6. Python library Matplotlib/1. Introduction to Matplotlib.mp4 73.8 MB
  • 7. Python library Seaborn/1. Introduction to Seaborn.mp4 69.9 MB
  • 2. Basic Statstics knowledge/4. The basics of statistics part 3.mp4 69.5 MB
  • 8. Machine Learning/5. Machine learning algorithms part 3.mp4 66.6 MB
  • 5. Python library Scipy/1. The Basics of SciPy.mp4 65.8 MB
  • 6. Python library Matplotlib/3. Basics of matplotlib part 1.mp4 64.6 MB
  • 7. Python library Seaborn/3. Seaborn operations part 1.mp4 56.3 MB
[磁力链接] 添加时间:2023-12-17 大小:3.4 GB 最近下载:2025-11-02 热度:5954

GetFreeCourses.Me-Udemy-Complete Machine Learning and Data Science Zero to Mastery

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 17. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/38. Tuning Hyperparameters.mp4 184.1 MB
  • 17. Career Advice + Extra Bits/3. What If I Don_t Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/7. Feature Engineering.mp4 166.9 MB
  • 9. Scikit-learn Creating Machine Learning Models/44. Putting It All Together.mp4 166.0 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/14. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Feature Importance.mp4 149.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/17. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/9. Finding Patterns 3.mp4 144.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/5. Exploring Our Data.mp4 144.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/13. Getting Your Data Ready Handling Missing Values With Scikit-learn.mp4 143.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/11. Getting Your Data Ready Convert Data To Numbers.mp4 141.6 MB
  • 17. Career Advice + Extra Bits/11. Contributing To Open Source.mp4 136.6 MB
  • 11. Milestone Project 1 Supervised Learning (Binary Classification)/20. Finding The Most Important Features.mp4 133.7 MB
  • 5. Data Science Environment Setup/6. Mac Environment Setup 2.mp4 131.6 MB
[磁力链接] 添加时间:2021-03-07 大小:14.2 GB 最近下载:2025-11-02 热度:1658

[ FreeCourseWeb.com ] Udemy - Real World Data Science and Machine Learning Projects.zip

  • [ FreeCourseWeb.com ] Udemy - Real World Data Science and Machine Learning Projects.zip 1.9 GB
[磁力链接] 添加时间:2022-01-09 大小:1.9 GB 最近下载:2025-11-02 热度:480

[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023]

  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part1.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part2.rar 6.4 GB
  • [FreeCourseSite.com] Udemy - Machine Learning A-Z™ Python & R in Data Science [2023].part3.rar 78.6 MB
[磁力链接] 添加时间:2023-12-21 大小:13.0 GB 最近下载:2025-11-02 热度:5466

[ DevCourseWeb.com ] Udemy - Data Science Case Study - Real-World Machine Learning Project

  • ~Get Your Files Here !/1 - Introduction/1 - Californian House Price Prediction.mp4 625.0 MB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/2 - What is Machine Learning.html 2.7 kB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/4 - Linear Regression in Python.html 2.5 kB
  • ~Get Your Files Here !/2 - Extra Learning Material for Machine Learning/3 - Short Linear Regression Explanation.html 2.3 kB
  • ~Get Your Files Here !/3 - Bonus Section/5 - Bonus Lecture.html 2.0 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
[磁力链接] 添加时间:2024-05-24 大小:625.0 MB 最近下载:2025-11-02 热度:3509

[FreeCourseSite.com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 11 - Generative Models/107 - Variational AutoEncoders VAE Handson with Fashion MNIST.mp4 255.6 MB
  • 8 - Apache Spark Machine Learning on Big Data/74 - Activity Installing Spark Part 2.mp4 205.6 MB
  • 1 - Getting Started/6 - Activity MAC Installing and Using Anaconda Course Materials.mp4 197.9 MB
  • 10 - Deep Learning and Neural Networks/102 - Activity Transfer Learning.mp4 195.1 MB
  • 6 - More Data Mining and Machine Learning Techniques/57 - Reinforcement Learning.mp4 191.1 MB
  • 5 - Recommender Systems/50 - Activity Making Movie Recommendations with ItemBased Collaborative Filtering.mp4 190.1 MB
  • 8 - Apache Spark Machine Learning on Big Data/79 - Activity KMeans Clustering in Spark.mp4 187.1 MB
  • 10 - Deep Learning and Neural Networks/94 - Activity Using Tensorflow Part 1.mp4 178.2 MB
  • 3 - Predictive Models/28 - Activity Multiple Regression and Predicting Car Prices.mp4 158.2 MB
  • 2 - Statistics and Probability Refresher and Python Practice/16 - Activity Variation and Standard Deviation.mp4 156.3 MB
  • 2 - Statistics and Probability Refresher and Python Practice/21 - Activity Advanced Visualization with Seaborn.mp4 156.3 MB
  • 10 - Deep Learning and Neural Networks/95 - Activity Using Tensorflow Part 2.mp4 156.2 MB
  • 2 - Statistics and Probability Refresher and Python Practice/23 - Exercise Conditional Probability.mp4 154.6 MB
  • 11 - Generative Models/109 - Generative Adversarial Networks GANs Playing with some demos.mp4 151.8 MB
  • 6 - More Data Mining and Machine Learning Techniques/53 - Activity Using KNN to predict a rating for a movie.mp4 147.6 MB
  • 8 - Apache Spark Machine Learning on Big Data/81 - Activity Searching Wikipedia with Spark.mp4 146.2 MB
  • 5 - Recommender Systems/48 - Activity Finding Movie Similarities using Cosine Similarity.mp4 143.7 MB
  • 3 - Predictive Models/26 - Activity Linear Regression.mp4 143.3 MB
  • 9 - Experimental Design ML in the Real World/88 - AB Test Gotchas.mp4 141.0 MB
  • 8 - Apache Spark Machine Learning on Big Data/78 - Introduction to Decision Trees in Spark.mp4 140.5 MB
[磁力链接] 添加时间:2023-12-21 大小:9.2 GB 最近下载:2025-11-02 热度:4451

GetFreeCourses.Co-Udemy-Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-04-27 大小:20.6 GB 最近下载:2025-11-02 热度:1359

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022

  • 09 - Scikit-learn Creating Machine Learning Models/017 NEW Choosing The Right Model For Your Data.mp4 245.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/040 NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 235.7 MB
  • 05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4 233.6 MB
  • 09 - Scikit-learn Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4 193.5 MB
  • 09 - Scikit-learn Creating Machine Learning Models/008 Optional Debugging Warnings In Jupyter.mp4 179.8 MB
  • 16 - Career Advice + Extra Bits/009 CWD Git + Github.mp4 178.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/043 Tuning Hyperparameters.mp4 176.2 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4 171.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/008 Feature Engineering.mp4 165.1 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4 161.1 MB
  • 16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience.mp4 154.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4 151.1 MB
  • 09 - Scikit-learn Creating Machine Learning Models/050 Putting It All Together.mp4 150.1 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/021 Feature Importance.mp4 147.4 MB
  • 05 - Data Science Environment Setup/005 Mac Environment Setup.mp4 146.2 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4 144.9 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp4 144.3 MB
  • 11 - Milestone Project 1 Supervised Learning (Classification)/010 Finding Patterns 3.mp4 142.5 MB
  • 12 - Milestone Project 2 Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4 142.3 MB
  • 14 - Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4 138.4 MB
[磁力链接] 添加时间:2023-12-18 大小:17.8 GB 最近下载:2025-11-02 热度:5270

[DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

  • 09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
  • 04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
  • 09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
  • 02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
  • 06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
  • 03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
  • 09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
  • 03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
  • 04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
  • 05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
  • 05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
  • 07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
  • 06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
  • 03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
  • 01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
  • 05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
  • 06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
  • 02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
  • 04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
  • 02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB
[磁力链接] 添加时间:2021-04-23 大小:429.2 MB 最近下载:2025-11-02 热度:1074

[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-11-02 热度:1157

[ FreeCourseWeb.com ] Udemy - Docker Masterclass for Machine Learning and Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Docker Masterclass for Machine Learning and Data Science.zip 1.3 GB
[磁力链接] 添加时间:2021-03-13 大小:1.3 GB 最近下载:2025-11-02 热度:1518

GetFreeCourses.Co-Udemy-Complete 2022 Data Science & Machine Learning Bootcamp

  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/007 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 240.6 MB
  • 12 - Serving a Tensorflow Model through a Website/014 Calculating the Centre of Mass and Shifting the Image.mp4 220.7 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/031 Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 210.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/012 Model Evaluation and the Confusion Matrix.mp4 202.6 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/009 Understanding the Learning Rate.mp4 199.4 MB
  • 03 - Python Programming for Data Science and Machine Learning/008 [Python] - Module Imports.mp4 195.9 MB
  • 12 - Serving a Tensorflow Model through a Website/007 Loading a Tensorflow.js Model and Starting your own Server.mp4 183.9 MB
  • 05 - Predict House Prices with Multivariable Linear Regression/014 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 183.7 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/010 Use the Model to Make Predictions.mp4 182.3 MB
  • 11 - Use Tensorflow to Classify Handwritten Digits/012 Different Model Architectures Experimenting with Dropout.mp4 182.3 MB
  • 12 - Serving a Tensorflow Model through a Website/009 Styling an HTML Canvas.mp4 181.1 MB
  • 12 - Serving a Tensorflow Model through a Website/010 Drawing on an HTML Canvas.mp4 167.0 MB
  • 12 - Serving a Tensorflow Model through a Website/016 Adding the Game Logic.mp4 165.9 MB
  • 10 - Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/009 Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 159.9 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/010 How to Create 3-Dimensional Charts.mp4 159.4 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/006 Visualising the Decision Boundary.mp4 156.7 MB
  • 12 - Serving a Tensorflow Model through a Website/013 Resizing and Adding Padding to Images.mp4 155.0 MB
  • 08 - Test and Evaluate a Naive Bayes Classifier Part 3/011 A Naive Bayes Implementation using SciKit Learn.mp4 152.8 MB
  • 04 - Introduction to Optimisation and the Gradient Descent Algorithm/008 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 152.3 MB
  • 03 - Python Programming for Data Science and Machine Learning/013 How to Make Sense of Python Documentation for Data Visualisation.mp4 144.8 MB
[磁力链接] 添加时间:2023-12-20 大小:13.5 GB 最近下载:2025-11-01 热度:1805

[ DevCourseWeb.com ] Udemy - Chatgpt For Machine Learning and Data Science

  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/9 - Access data from an online source and build a model.mp4 95.1 MB
  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/7 - Build a ML Model Using ChatGPT.mp4 82.4 MB
  • ~Get Your Files Here !/6 - Build a ML Model with Google Bard/10 - Build a ML Model with Google Bard.mp4 55.4 MB
  • ~Get Your Files Here !/7 - Prompt Engineering/13 - Prompt engineering in action.mp4 53.4 MB
  • ~Get Your Files Here !/4 - Create a computer program and debug it/6 - Create a computer program and debug it.mp4 51.8 MB
  • ~Get Your Files Here !/5 - Build a ML Model with ChatGPT/8 - Build a Wordcloud using Streamlit with help from ChatGPT.mp4 45.0 MB
  • ~Get Your Files Here !/3 - Technology Behind ChatGPT/5 - Understanding Transformers and Neural Networks.mp4 35.4 MB
  • ~Get Your Files Here !/3 - Technology Behind ChatGPT/4 - Understanding Large Language Models LLMs and Generative AI.mp4 28.2 MB
  • ~Get Your Files Here !/6 - Build a ML Model with Google Bard/11 - Useful Features in Google Bard.mp4 18.5 MB
  • ~Get Your Files Here !/2 - Getting Started with ChatGPT/2 - Introduction to OpenAI.mp4 18.1 MB
  • ~Get Your Files Here !/7 - Prompt Engineering/12 - What is prompt engineering.mp4 14.9 MB
  • ~Get Your Files Here !/8 - Addressing Data Privacy Issues/14 - Addressing Data Privacy Issues.mp4 11.9 MB
  • ~Get Your Files Here !/2 - Getting Started with ChatGPT/3 - OpenAI Account Setup.mp4 9.5 MB
  • ~Get Your Files Here !/1 - Introduction/1 - Introduction.mp4 8.9 MB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
[磁力链接] 添加时间:2024-06-21 大小:528.3 MB 最近下载:2025-11-01 热度:793


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