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[ FreeCourseWeb.com ] Udemy - Learning Python For Beginners.zip

  • [ FreeCourseWeb.com ] Udemy - Learning Python For Beginners.zip 1.0 GB
[磁力链接] 添加时间:2022-05-10 大小:1.0 GB 最近下载:2025-03-15 热度:71

Packt Publishing - Python Machine Learning - Part 1

  • Packt Publishing - Python Machine Learning - Part 1.iso 485.3 MB
  • More_info.txt 658 Bytes
[磁力链接] 添加时间:2017-02-21 大小:485.3 MB 最近下载:2025-03-05 热度:48

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:2021-03-07 大小:6.8 GB 最近下载:2025-02-28 热度:149

Packt Publishing - Machine Learning with Open CV and Python

  • Packt Publishing - Machine Learning with Open CV and Python.iso 1.2 GB
  • More_info.txt 658 Bytes
[磁力链接] 添加时间:2018-04-01 大小:1.2 GB 最近下载:2025-02-26 热度:148

InfiniteSkills.Learning.Python.Programming.Tutorial

  • nfo.nfo 687 Bytes
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part09.rar 61.1 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part08.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part07.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part06.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part05.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part04.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part03.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part02.rar 100.0 MB
  • InfiniteSkills.Learning.Python.Programming.Tutorial.part01.rar 100.0 MB
[磁力链接] 添加时间:2018-02-04 大小:861.1 MB 最近下载:2025-02-25 热度:163

[FreeCourseLab.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
  • 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
  • 6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB
[磁力链接] 添加时间:2022-03-04 大小:1.6 GB 最近下载:2025-02-23 热度:55

[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python

  • 10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 1. Welcome/2. Where does this course fit into your deep learning studies.mp4 56.7 MB
  • 5. Training a neural network/8. Backpropagation in code.mp4 48.6 MB
  • 10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 45.4 MB
  • 10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 2. Review/4. Neuron Training.mp4 40.4 MB
  • 10. Appendix/15. What order should I take your courses in (part 2).mp4 39.4 MB
  • 5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 39.1 MB
  • 4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 31.8 MB
  • 10. Appendix/14. What order should I take your courses in (part 1).mp4 30.8 MB
  • 2. Review/2. What does machine learning do.mp4 26.9 MB
  • 6. Practical Machine Learning/4. Neural Networks for Regression.mp4 26.6 MB
  • 8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 26.4 MB
  • 10. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 2. Review/3. Neuron Predictions.mp4 25.6 MB
  • 8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 24.6 MB
  • 1. Welcome/3. Where to get the code.mp4 24.5 MB
  • 9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 23.9 MB
[磁力链接] 添加时间:2022-03-18 大小:1.5 GB 最近下载:2025-02-23 热度:174

Udemy - Python for Data Science and Machine Learning Bootcamp.zip

  • Udemy - Python for Data Science and Machine Learning Bootcamp.zip 3.9 GB
[磁力链接] 添加时间:2022-02-11 大小:3.9 GB 最近下载:2025-02-22 热度:55

[HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip

  • [HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip 434.0 MB
[磁力链接] 添加时间:2018-02-19 大小:434.0 MB 最近下载:2025-02-17 热度:66

[FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 01 Course Introduction/001 Introduction to the Course.mp4 45.1 MB
  • 01 Course Introduction/002 Course Help and Welcome.mp4 23.2 MB
  • 01 Course Introduction/003 Course FAQs.html 5.7 kB
  • 01 Course Introduction/attached_files/003 Course FAQs/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
  • 02 Environment Set-Up/004 Environment Set-up and Installation.mp4 29.5 MB
  • 03 Jupyter Overview/005 Jupyter Notebooks.mp4 39.6 MB
  • 03 Jupyter Overview/006 Optional Virtual Environments.mp4 22.8 MB
  • 03 Jupyter Overview/attached_files/005 Jupyter Notebooks/Python-Data-Science-and-Machine-Learning-Bootcamp.zip 139.4 MB
  • 04 Python Crash Course/007 Welcome to the Python Crash Course Section.mp4 11.2 MB
  • 04 Python Crash Course/008 Introduction to Python Crash Course.mp4 3.2 MB
  • 04 Python Crash Course/009 Python Crash Course - Part 1.mp4 42.1 MB
  • 04 Python Crash Course/010 Python Crash Course - Part 2.mp4 33.8 MB
  • 04 Python Crash Course/011 Python Crash Course - Part 3.mp4 37.5 MB
  • 04 Python Crash Course/012 Python Crash Course - Part 4.mp4 34.1 MB
  • 04 Python Crash Course/013 Python Crash Course Exercises - Overview.mp4 12.8 MB
  • 04 Python Crash Course/014 Python Crash Course Exercises - Solutions.mp4 36.1 MB
  • 05 Python for Data Analysis - NumPy/015 Welcome to the NumPy Section.mp4 7.3 MB
  • 05 Python for Data Analysis - NumPy/016 Introduction to Numpy.mp4 5.0 MB
  • 05 Python for Data Analysis - NumPy/017 Numpy Arrays.mp4 40.0 MB
  • 05 Python for Data Analysis - NumPy/018 Quick Note on Array Indexing.html 1.4 kB
[磁力链接] 添加时间:2018-05-18 大小:4.5 GB 最近下载:2025-02-17 热度:653

[ CourseMega.com ] Udemy - The Joy Of Learning Python.zip

  • [ CourseMega.com ] Udemy - The Joy Of Learning Python.zip 1.9 GB
[磁力链接] 添加时间:2021-05-13 大小:1.9 GB 最近下载:2025-02-16 热度:171

GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

  • 6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
  • 5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
  • 6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
  • 6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
  • 2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
  • 2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
  • 3. Data Preprocessing/12. Normalization.mp4 195.9 MB
  • 5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
  • 3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
  • 2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
  • 7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
  • 2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
  • 5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
  • 2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
  • 8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-04-20 大小:7.2 GB 最近下载:2025-02-15 热度:102

[DesireCourse.Net] Udemy - Machine Learning, Data Science and Deep Learning with Python

  • 6. More Data Mining and Machine Learning Techniques/2. [Activity] Using KNN to predict a rating for a movie.mp4 210.3 MB
  • 7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 200.3 MB
  • 6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 198.9 MB
  • 5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 197.7 MB
  • 2. Statistics and Probability Refresher, and Python Practice/8. [Activity] A Crash Course in matplotlib.mp4 191.1 MB
  • 2. Statistics and Probability Refresher, and Python Practice/10. [Activity] Covariance and Correlation.mp4 175.5 MB
  • 2. Statistics and Probability Refresher, and Python Practice/7. [Activity] Percentiles and Moments.mp4 167.4 MB
  • 2. Statistics and Probability Refresher, and Python Practice/4. [Activity] Variation and Standard Deviation.mp4 163.9 MB
  • 6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4 163.4 MB
  • 5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4 159.4 MB
  • 6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4 158.0 MB
  • 2. Statistics and Probability Refresher, and Python Practice/9. [Activity] Advanced Visualization with Seaborn.mp4 155.0 MB
  • 4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp4 152.0 MB
  • 3. Predictive Models/1. [Activity] Linear Regression.mp4 151.4 MB
  • 9. Experimental Design ML in the Real World/2. AB Testing Concepts.mp4 148.7 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/6. Spark and the Resilient Distributed Dataset (RDD).mp4 147.4 MB
  • 9. Experimental Design ML in the Real World/6. AB Test Gotchas.mp4 146.6 MB
  • 5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp4 143.1 MB
  • 4. Machine Learning with Python/12. [Activity] Decision Trees Predicting Hiring Decisions.mp4 140.9 MB
[磁力链接] 添加时间:2021-03-10 大小:10.1 GB 最近下载:2025-02-14 热度:817

[FreeTutorials.Us] cluster-analysis-unsupervised-machine-learning-python

  • 01 Introduction to Unsupervised Learning/001 Introduction and Outline.mp4 4.3 MB
  • 01 Introduction to Unsupervised Learning/002 What is unsupervised learning used for.mp4 7.9 MB
  • 01 Introduction to Unsupervised Learning/003 Why Use Clustering.mp4 7.0 MB
  • 01 Introduction to Unsupervised Learning/004 How to Succeed in this Course.mp4 9.2 MB
  • 02 K-Means Clustering/005 Visual Walkthrough of the K-Means Clustering Algorithm.mp4 5.1 MB
  • 02 K-Means Clustering/006 Soft K-Means.mp4 4.4 MB
  • 02 K-Means Clustering/007 The K-Means Objective Function.mp4 3.2 MB
  • 02 K-Means Clustering/008 Soft K-Means in Python Code.mp4 31.7 MB
  • 02 K-Means Clustering/009 Visualizing Each Step of K-Means.mp4 5.5 MB
  • 02 K-Means Clustering/010 Examples of where K-Means can fail.mp4 17.8 MB
  • 02 K-Means Clustering/011 Disadvantages of K-Means Clustering.mp4 4.1 MB
  • 02 K-Means Clustering/012 How to Evaluate a Clustering Purity Davies-Bouldin Index.mp4 11.9 MB
  • 02 K-Means Clustering/013 Using K-Means on Real Data MNIST.mp4 11.2 MB
  • 02 K-Means Clustering/014 One Way to Choose K.mp4 9.5 MB
  • 02 K-Means Clustering/015 K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
  • 03 Hierarchical Clustering/016 Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 4.6 MB
  • 03 Hierarchical Clustering/017 Agglomerative Clustering Options.mp4 6.5 MB
  • 03 Hierarchical Clustering/018 Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
  • 04 Gaussian Mixture Models GMMs/019 Description of the Gaussian Mixture Model and How to Train a GMM.mp4 5.5 MB
  • 04 Gaussian Mixture Models GMMs/020 Comparison between GMM and K-Means.mp4 3.1 MB
[磁力链接] 添加时间:2017-08-18 大小:325.9 MB 最近下载:2025-02-10 热度:963

[FreeTutorials.Us] unsupervised-deep-learning-in-python

  • 01 Introduction and Outline/001 Introduction and Outline.mp4 3.4 MB
  • 01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 5.4 MB
  • 01 Introduction and Outline/003 How to Succeed in this Course.mp4 10.0 MB
  • 02 Principal Components Analysis/004 What does PCA do.mp4 12.1 MB
  • 02 Principal Components Analysis/005 PCA derivation.mp4 7.0 MB
  • 02 Principal Components Analysis/006 MNIST visualization finding the optimal number of principal components.mp4 9.8 MB
  • 02 Principal Components Analysis/007 PCA objective function.mp4 3.9 MB
  • 03 t-SNE t-distributed Stochastic Neighbor Embedding/008 t-SNE Theory.mp4 8.3 MB
  • 03 t-SNE t-distributed Stochastic Neighbor Embedding/009 t-SNE on the Donut.mp4 15.8 MB
  • 03 t-SNE t-distributed Stochastic Neighbor Embedding/010 t-SNE on XOR.mp4 9.8 MB
  • 03 t-SNE t-distributed Stochastic Neighbor Embedding/011 t-SNE on MNIST.mp4 4.6 MB
  • 04 Autoencoders/012 Autoencoders.mp4 6.1 MB
  • 04 Autoencoders/013 Denoising Autoencoders.mp4 3.6 MB
  • 04 Autoencoders/014 Stacked Autoencoders.mp4 6.9 MB
  • 04 Autoencoders/015 Writing the autoencoder class in code Theano.mp4 40.4 MB
  • 04 Autoencoders/016 Testing our Autoencoder Theano.mp4 11.9 MB
  • 04 Autoencoders/017 Writing the deep neural network class in code Theano.mp4 44.0 MB
  • 04 Autoencoders/018 Autoencoder in Code Tensorflow.mp4 25.6 MB
  • 04 Autoencoders/019 Testing greedy layer-wise autoencoder training vs. pure backpropagation.mp4 19.4 MB
  • 04 Autoencoders/020 Cross Entropy vs. KL Divergence.mp4 7.8 MB
[磁力链接] 添加时间:2017-08-18 大小:583.4 MB 最近下载:2025-02-09 热度:1563

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.srt 148.5 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
  • 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
  • 10. Deep Learning and Neural Networks/8. [Activity] Using Tensorflow, Part 2.mp4 113.9 MB
[磁力链接] 添加时间:2021-06-04 大小:8.5 GB 最近下载:2025-02-08 热度:111

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

  • 6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 6. Appendix FAQ/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 62.3 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).srt 49.7 MB
  • 6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 4. Practical machine learning issues/3. Generalization error, train and test sets.srt 40.9 MB
  • 6. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 6. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).srt 30.8 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 6. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 2).srt 20.5 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
[磁力链接] 添加时间:2023-12-21 大小:1.3 GB 最近下载:2025-02-06 热度:139

[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

  • 6. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
  • 7. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
  • 1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
  • 1. Welcome/1. Welcome.mp4 52.1 MB
  • 6. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 8. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 8. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
  • 8. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
  • 1. Welcome/4. How to Succeed in this Course.mp4 29.3 MB
  • 2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
  • 7. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
  • 4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
  • 2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
  • 2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
  • 2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
  • 8. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.3 MB
[磁力链接] 添加时间:2021-04-18 大小:1.2 GB 最近下载:2025-01-20 热度:72

[ FreeCourseWeb.com ] Boosting Machine Learning Models in Python.zip

  • [ FreeCourseWeb.com ] Boosting Machine Learning Models in Python.zip 582.3 MB
[磁力链接] 添加时间:2021-05-23 大小:582.3 MB 最近下载:2025-01-19 热度:174

Learning Python Programming [Online Code]

  • Learning Python Programming [Online Code].zip 1.1 GB
[磁力链接] 添加时间:2018-02-24 大小:1.1 GB 最近下载:2025-01-19 热度:27


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