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[ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning With Python.zip

  • [ DevCourseWeb.com ] Udemy - Learn Data Mining and Machine Learning With Python.zip 3.2 GB
[磁力链接] 添加时间:2021-03-20 大小:3.2 GB 最近下载:2025-11-04 热度:892

[Tutorialsplanet.NET] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

  • 10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 11. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
  • 4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
  • 4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
  • 4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
  • 4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
  • 6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
  • 6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
  • 10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
  • 4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
  • 12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 12/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • 4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
  • 2. Markov Models/2. Markov Models.mp4 34.1 MB
  • 4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
  • 5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
  • 12/3. What order should I take your courses in (part 1).mp4 30.8 MB
[磁力链接] 添加时间:2021-03-20 大小:1.8 GB 最近下载:2025-03-18 热度:65

[FreeAllCourse.Com] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 149.0 MB
  • 10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
  • 8. Apache Spark Machine Learning on Big Data/8. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
  • 10. Deep Learning and Neural Networks/18. The Ethics of Deep Learning.mp4 134.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/11. [Exercise] Conditional Probability.mp4 131.2 MB
  • 1. Getting Started/11. Introducing the Pandas Library [Optional].mp4 129.1 MB
  • 10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 1.mp4 124.0 MB
  • 8. Apache Spark Machine Learning on Big Data/9. [Activity] K-Means Clustering in Spark.mp4 123.6 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 122.4 MB
  • 10. Deep Learning and Neural Networks/15. [Activity] Transfer Learning.mp4 120.9 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 119.6 MB
  • 8. Apache Spark Machine Learning on Big Data/4. [Activity] Installing Spark - Part 2.mp4 117.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 115.1 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 113.1 MB
[磁力链接] 添加时间:2021-03-20 大小:8.3 GB 最近下载:2025-10-29 热度:1325

[FreeCourseSite.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

  • 8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 7. Machine Learning Basics/3. Classification in Code.mp4 131.5 MB
  • 9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Matplotlib (New)/7. Where to Learn More Matplotlib.mp4 80.9 MB
  • 2. Numpy (New)/7. Generating Data.mp4 66.2 MB
  • 7. Machine Learning Basics/2. What is Classification.mp4 65.2 MB
  • 7. Machine Learning Basics/5. Regression in Code.mp4 64.9 MB
  • 1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
  • 2. Numpy (New)/5. Matrices.mp4 60.0 MB
  • 2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
  • 4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
  • 7. Machine Learning Basics/9. Comparing Different Machine Learning Models.mp4 47.7 MB
  • 8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 7. Machine Learning Basics/4. What is Regression.mp4 45.3 MB
  • 5. Scipy (New)/5. Where to Learn More Scipy.mp4 40.8 MB
  • 7. Machine Learning Basics/1. Machine Learning Section Introduction.mp4 40.8 MB
  • 2. Numpy (New)/9. Where to Learn More Numpy.mp4 40.7 MB
  • 3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
  • 11. Appendix FAQ Finale/1. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 10. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
[磁力链接] 添加时间:2021-03-20 大小:1.9 GB 最近下载:2025-10-27 热度:1722

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 10. 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
  • 1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 81.6 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • 2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2021-03-20 大小:3.2 GB 最近下载:2025-10-23 热度:1520

GetFreeCourses.Co-Udemy-The Complete Machine Learning Course with Python

  • 6. Tree/6. Project HR.mp4 186.5 MB
  • 7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
  • 12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
  • 3. Regression/2. EDA.mp4 159.0 MB
  • 11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
  • 11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
  • 3. Regression/15. Data Preprocessing.mp4 142.1 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
  • 3. Regression/19. CV Illustration.mp4 133.4 MB
  • 10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
  • 3. Regression/9. Multiple Regression 1.mp4 131.6 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
  • 4. Classification/1. Logistic Regression.mp4 125.4 MB
  • 3. Regression/7. Robust Regression.mp4 124.8 MB
  • 13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
  • 3. Regression/12. Polynomial Regression.mp4 116.2 MB
  • 4. Classification/3. Understanding MNIST.mp4 114.3 MB
  • 3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
  • 4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB
[磁力链接] 添加时间:2021-03-20 大小:7.3 GB 最近下载:2025-11-01 热度:1256

[FreeCoursesOnline.Me] [Packt] Python Machine Learning Tips, Tricks, and Techniques [FCO]

  • 24 - Perform Metric Selection on Real Data.mp4 230.9 MB
  • 02 - Using Feature Scaling to Standardize Data.mp4 39.3 MB
  • 08 - Implementing kNN on the Data Set.mp4 35.9 MB
  • 13 - Gradient Boosting Trees and Bayes Optimization.mp4 35.0 MB
  • 16 - Implement Stacking.mp4 32.7 MB
  • 19 - Applying Matrix Factorization on Datasets.mp4 28.8 MB
  • 15 - Implement Blending.mp4 28.7 MB
  • 09 - Decision Tree as Predictive Model.mp4 28.4 MB
  • 01 - The Course Overview.mp4 28.3 MB
  • 12 - Random Forest for Classification.mp4 25.0 MB
  • 07 - Support Vector Machines.mp4 24.4 MB
  • 20 - Wordbatch for Real-World Problem.mp4 24.4 MB
  • 21 - Validation Dataset Tuning.mp4 23.2 MB
  • 04 - Extracting Data with Feature Selection and Interaction.mp4 23.0 MB
  • 17 - Memory-Based Collaborative Filtering.mp4 22.4 MB
  • 11 - Combining All Together.mp4 22.3 MB
  • 18 - Item-to-Item Recommendation with kNN.mp4 22.3 MB
  • 10 - Tricks with Dimensionality Reduction.mp4 21.5 MB
  • 14 - CatBoost to Handle Categorical Data.mp4 21.1 MB
  • 23 - Adversarial Validation.mp4 20.9 MB
[磁力链接] 添加时间:2021-03-19 大小:795.2 MB 最近下载:2025-10-31 热度:1694

[08-2020] python-data-science-machine-learning-bootcamp

  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 471.0 MB
  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 468.5 MB
  • 12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 453.3 MB
  • 12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
  • 10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
  • 03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
  • 11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
  • 05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
  • 12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
  • 12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
  • 10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
  • 12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
  • 10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
  • 12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 300.2 MB
  • 12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
  • 04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 294.2 MB
  • 08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
  • 08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB
[磁力链接] 添加时间:2021-03-19 大小:25.0 GB 最近下载:2025-11-03 热度:10032

[ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (Updated 12 - 2020).zip

  • [ FreeCourseWeb.com ] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (Updated 12 - 2020).zip 1.7 GB
[磁力链接] 添加时间:2021-03-19 大小:1.7 GB 最近下载:2025-11-03 热度:1279

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

  • 27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
  • 37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
  • 18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
  • 26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
  • 26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
  • 23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
  • 27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
  • 27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
  • 34. 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
  • 25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
  • 37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
  • 27. 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
  • 37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
  • 23. 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
  • 14. Simple Decision Trees/13. Building a Regression Tree in R.mp4 108.4 MB
  • 35. Transfer Learning in R/1. Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
[磁力链接] 添加时间:2021-03-19 大小:14.1 GB 最近下载:2025-06-28 热度:366

Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-03-19 大小:4.1 GB 最近下载:2025-03-15 热度:81

[DesireCourse.Net] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

  • [DesireCourse.Net] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning.zip 3.7 GB
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes
[磁力链接] 添加时间:2021-03-19 大小:3.7 GB 最近下载:2025-11-02 热度:382

[DesireCourse.Net] Udemy - Learning Python for Data Analysis and Visualization

  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
  • 10. Machine Learning/19. Natural Language Processing Part 3.mp4 97.0 MB
  • 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 86.1 MB
  • 10. Machine Learning/20. Natural Language Processing Part 4.mp4 70.4 MB
  • 10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
  • 10. Machine Learning/17. Natural Language Processing Part 1.mp4 46.0 MB
  • 2. Setup/3. iPythonJupyter Notebook Overview.mp4 41.4 MB
  • 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 38.6 MB
  • 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 37.7 MB
  • 10. Machine Learning/9. Logistic Regression Part 4.mp4 37.0 MB
  • 10. Machine Learning/5. Linear Regression Part 4.mp4 32.4 MB
  • 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 32.2 MB
  • 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 32.1 MB
  • 2. Setup/2. IDEs and Course Resources.mp4 31.8 MB
  • 10. Machine Learning/4. Linear Regression Part 3.mp4 28.5 MB
  • 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 28.4 MB
  • 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 28.1 MB
  • 9. Example Projects/1. Data Projects Preview.mp4 27.1 MB
  • 10. Machine Learning/6. Logistic Regression Part 1.mp4 26.2 MB
  • 9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 26.1 MB
[磁力链接] 添加时间:2021-03-19 大小:2.1 GB 最近下载:2025-09-04 热度:1367

Python Beyond Basics for Machine Learning, Data Science, AI

  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/12. Case Study with Scikit Learn Library.mp4 431.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/10. Plotly Library/1. Plotly Library Tutorial.mp4 334.3 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/13. Case Study with Scikit Learn Library.mp4 291.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/4. Python Crash Course/1. Python Crash Course.mp4 266.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/1. Numpy Library Tutorial 1.mp4 228.6 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/1. Matplotlib Library Tutorial 1.mp4 214.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/13. Artificial Intelligence/3. UGV Flow Chart.mp4 125.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/2. Seaborn Library Tutorial 2.mp4 119.4 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/3. Numpy Library Tutorial 3.mp4 114.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/3. Python Advance Concept/1. Collection Module.mp4 96.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/1. Introduction of Course/5. Data Science Introduction.mp4 93.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/6. Case Study with Logistic Regression.mp4 92.5 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/10. Case Study with KNN Algorithm.mp4 91.2 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/2. Case Study of Suicides in India 2001-2012.mp4 91.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/9. Seaborn Library/1. Seaborn Library Tutorial 1.mp4 86.1 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/2. Numpy Library Tutorial 2.mp4 82.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/4. Case Study of Titanic Dataset.mp4 78.9 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/5. Numpy Library/4. Numpy Library Tutorial 4.mp4 75.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/12. Data Science/7. Case Study with Support Vector Machines (SVM).mp4 74.8 MB
  • [TutsNode.com] - Python Beyond Basics for Machine Learning, Data Science, AI/8. Matplotlib Library/4. Matplotlib Library Tutorial 4.mp4 73.1 MB
[磁力链接] 添加时间:2021-03-18 大小:6.2 GB 最近下载:2025-11-04 热度:9690

[FreeCourseLab.com] Udemy - Machine Learning using Python

  • 5. Evaluation Metrics/4. Classification Reports in Evaluation Metrics.mp4 122.5 MB
  • 5. Evaluation Metrics/2. Example of Evaluation Metrics.mp4 102.6 MB
  • 3. Linear Regression/1. Linear Regression in ML.mp4 87.0 MB
  • 3. Linear Regression/4. Support Vector Algorithm in ML.mp4 85.5 MB
  • 3. Linear Regression/3. Linear Regression Example Continues.mp4 83.6 MB
  • 5. Evaluation Metrics/5. Example of MAE, MSE and Variance using Evaluation Metrics.mp4 78.5 MB
  • 4. Classifier and Python Package/4. Apriori Python Package.mp4 78.1 MB
  • 4. Classifier and Python Package/5. Apriori Python Package Continues.mp4 78.1 MB
  • 6. Missing Value/2. Handling Missing Values in Python Continues.mp4 75.8 MB
  • 2. Usage of Machine Learning Packages in Python/2. Example of Machine Learning Using Python.mp4 73.6 MB
  • 2. Usage of Machine Learning Packages in Python/1. Installation of Python.mp4 71.9 MB
  • 4. Classifier and Python Package/3. K Mean Clustering.mp4 70.5 MB
  • 4. Classifier and Python Package/1. Decision Tree Classifier.mp4 68.2 MB
  • 3. Linear Regression/2. Linear Regression Example.mp4 67.8 MB
  • 6. Missing Value/1. Handling Missing Values in Python.mp4 66.7 MB
  • 5. Evaluation Metrics/6. Sea Born Example using Evaluation Metrics.mp4 66.6 MB
  • 5. Evaluation Metrics/1. Evaluation Metrics.mp4 63.2 MB
  • 6. Missing Value/4. More on Exception Handling in Python.mp4 61.5 MB
  • 6. Missing Value/3. Exception Handling in Python.mp4 59.1 MB
  • 4. Classifier and Python Package/2. Random Forest Classification.mp4 59.0 MB
[磁力链接] 添加时间:2021-03-18 大小:1.7 GB 最近下载:2025-09-29 热度:270

[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

  • 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
  • 10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.1 MB
  • 10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
  • 10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
  • 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
  • 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
  • 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
  • 10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
  • 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
  • 10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
  • 2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
  • 10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
  • 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
  • 10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
  • 10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
  • 10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
  • 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
  • 10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
  • 10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB
[磁力链接] 添加时间:2021-03-18 大小:4.2 GB 最近下载:2025-10-28 热度:1518

[ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip

  • [ FreeCourseWeb.com ] The Hello World of Machine Learning in Python.zip 1.4 GB
[磁力链接] 添加时间:2021-03-18 大小:1.4 GB 最近下载:2025-06-17 热度:377

Unsupervised Machine Learning Hidden Markov Models in Python

  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/11. 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
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/1. Introduction and Outline/4. Anyone Can Succeed in this Course.mp4 81.7 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/10. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. 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 40.8 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/13. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/12. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 39.4 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/2. Markov Models/2. Markov Models.mp4 34.0 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
  • [TutsNode.com] - Unsupervised Machine Learning Hidden Markov Models in Python/5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
[磁力链接] 添加时间:2021-03-18 大小:1.9 GB 最近下载:2025-11-01 热度:2668

[ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip

  • [ FreeCourseWeb.com ] Udemy - Practical Introduction to Machine Learning with Python.zip 1.5 GB
[磁力链接] 添加时间:2021-03-18 大小:1.5 GB 最近下载:2025-10-29 热度:988

[FreeCourseLab.com] Udemy - Deep Learning Convolutional Neural Networks in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
  • 2. Convolution/1. Real-Life Examples of Convolution.mp4 86.2 MB
  • 5. Convolutional Neural Network in TensorFlow/2. TensorFlow - Full CNN and Test on SVHN.mp4 82.9 MB
  • 7. Project Facial Expression Recognition/5. Convolutional Net in Theano.mp4 54.2 MB
  • 7. Project Facial Expression Recognition/6. Convolutional Net in TensorFlow.mp4 50.0 MB
  • 8. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 4. Convolutional Neural Network in Theano/2. Theano - Full CNN and Test on SVHN.mp4 41.3 MB
  • 8. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Appendix/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. Convolution/2. Beginner's Guide to Convolution.mp4 36.0 MB
  • 8. Appendix/11. What order should I take your courses in (part 1).mp4 30.8 MB
  • 8. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Convolutional Neural Network Description/7. LeNet - How the Shapes Go Together.mp4 22.7 MB
  • 7. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
  • 6. Practical Tips/2. Advanced CNNs and how to Design your Own.mp4 20.5 MB
  • 1. Outline and Review/5. Tensorflow or Theano - Your Choice!.mp4 19.8 MB
  • 2. Convolution/7. Write Convolution Yourself.mp4 19.2 MB
  • 8. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 8. Appendix/10. Is Theano Dead.mp4 18.7 MB
  • 8. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
[磁力链接] 添加时间:2021-03-17 大小:1.1 GB 最近下载:2025-10-31 热度:1494


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