learning python -移花宫 -武林禁地，闲人禁止入内

[GigaCourse.Com] Udemy - Machine Learning Classification Bootcamp in Python

4. Logistic Regression/6. Logistic Regression - Project #1 - Part #3.mp4 168.6 MB
7. Decision Trees and Random Forest/13. Decision Trees & Random Forest - Project #2 - Part #1.mp4 164.0 MB
5. Support Vector Machines/9. Support Vector Machines - Project #1 - Part #7.mp4 155.1 MB
2. What is Machine Learning The Big Picture/2. What is Machine Learning The Big Picture Part #2.mp4 144.2 MB
8. Naive Bayes Classifiers/2. Naive Bayes Intuition.mp4 143.1 MB
1. Introduction/2.1 ML Classification Package.zip 138.2 MB
8. Naive Bayes Classifiers/3. Naive Bayes - Mathematics.mp4 134.0 MB
5. Support Vector Machines/4. Support Vector Machines - Project #1 - Part #2.mp4 129.1 MB
3. Installation & Setup [Optional][Skip if you are familiar with Jupyter Notebooks]/3. How to run a Jupyter Notebook.mp4 128.8 MB
6. K-Nearest Neighbors/8. KNN - Project #2 - Part #1.mp4 126.7 MB
5. Support Vector Machines/5. Support Vector Machines - Project #1 - Part #3.mp4 125.6 MB
8. Naive Bayes Classifiers/6. Project #1 - Part #3.mp4 124.8 MB
7. Decision Trees and Random Forest/2. Decision Trees - Intuition.mp4 123.6 MB
8. Naive Bayes Classifiers/11. Project #2 - Part #1.mp4 116.5 MB
7. Decision Trees and Random Forest/16. Decision Trees & Random Forest - Project #2 - Part #4.mp4 114.7 MB
6. K-Nearest Neighbors/2. K-Nearest Neighbors - Intuition.mp4 112.4 MB
4. Logistic Regression/7. Logistic Regression - Project #1 - Part #4.mp4 102.8 MB
2. What is Machine Learning The Big Picture/1. What is Machine Learning The Big Picture Part #1.mp4 100.2 MB
1. Introduction/5. Course Overview.mp4 99.5 MB
5. Support Vector Machines/2. Support Vector Machines - Intuition.mp4 99.2 MB

[磁力链接] 添加时间:2024-05-14 大小:6.1 GB 最近下载:2025-01-19 热度:222

[FreeAllCourse.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 66.6 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:2021-03-17 大小:1.7 GB 最近下载:2025-01-05 热度:317

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip

[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 11 - 2020).zip 1.9 GB

[磁力链接] 添加时间:2021-03-20 大小:1.9 GB 最近下载:2025-01-02 热度:98

[freecourse.pro]-Machine Learning, Data Science and Generative AI with Python.zip

[freecourse.pro]-Machine Learning, Data Science and Generative AI with Python.zip 7.7 GB

[磁力链接] 添加时间:2024-05-31 大小:7.7 GB 最近下载:2024-12-30 热度:810

[Tutorialsplanet.NET] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
8. 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. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
9/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9/4. What order should I take your courses in (part 2).mp4 39.5 MB
9/3. What order should I take your courses in (part 1).mp4 30.8 MB
8. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
2. Bias-Variance Trade-Off/7. Suggestion Box.mp4 16.9 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.6 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
8. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 2).mp4 15.5 MB
4. Random Forest/1. Random Forest Algorithm.mp4 15.1 MB
2. Bias-Variance Trade-Off/3. Bias-Variance Decomposition.mp4 15.0 MB
2. Bias-Variance Trade-Off/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
9/1. How to Succeed in this Course (Long Version).mp4 13.6 MB

[磁力链接] 添加时间:2021-05-03 大小:928.3 MB 最近下载:2024-10-26 热度:270

[DesireCourse.Net] Udemy - Beginning with Machine Learning & Data Science in Python

2. Understanding Data Wrangling/7. Cleaning Messy Data.mp4 33.6 MB
2. Understanding Data Wrangling/3. Selecting data and finding the most common complaint type.mp4 26.3 MB
6. Regularization/6. Regularization using scikit-learn.mp4 24.0 MB
3. Linear Regression/5. Simple Linear Regression.mp4 23.0 MB
2. Understanding Data Wrangling/6. Which month was the snowiest.mp4 21.4 MB
3. Linear Regression/11. Handling categorical features.mp4 20.8 MB
2. Understanding Data Wrangling/4. Which borough has the most noise complaints.mp4 20.4 MB
1. Working with Machine Learning/5. Python and Jupyter Demo.mp4 18.5 MB
2. Understanding Data Wrangling/5. Which weekday do people bike the most.mp4 17.8 MB
6. Regularization/4. Regularizing linear models.mp4 17.7 MB
2. Understanding Data Wrangling/8. How to deal with timestamps.mp4 17.2 MB
4. Logistic Regression/8. Interpreting logistic regression.mp4 17.1 MB
2. Understanding Data Wrangling/2. Reading from a CSV.mp4 16.8 MB
5. Cross Validation/4. Cross-validation continued.mp4 16.7 MB
4. Logistic Regression/4. Predicting a categorical response.mp4 16.5 MB
3. Linear Regression/8. Multiple linear regression.mp4 16.1 MB
4. Logistic Regression/6. Probability, odds, log-odds.mp4 15.8 MB
2. Understanding Data Wrangling/9. Loading data from SQL databases.mp4 14.1 MB
6. Regularization/8. Pipeline and GridSearchCV.mp4 13.2 MB
6. Regularization/3. Overfitting with linear models.mp4 13.1 MB

[磁力链接] 添加时间:2021-03-06 大小:569.1 MB 最近下载:2024-09-21 热度:785

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

07 Appendix/044 Environment Setup.mp4 46.0 MB
07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
04 TD Lambda/026 TD Lambda.mp4 12.3 MB

[磁力链接] 添加时间:2021-03-11 大小:547.6 MB 最近下载:2024-09-15 热度:289

Lynda.Learning.Python.with.PyCharm-XQZT

llpwp-xqzt.iso 420.9 MB

[磁力链接] 添加时间:2017-07-13 大小:420.9 MB 最近下载:2024-09-14 热度:140

[ TutGator.com ] Udemy - Machine Learning using Python Programming.zip

[ TutGator.com ] Udemy - Machine Learning using Python Programming.zip 2.8 GB

[磁力链接] 添加时间:2022-04-11 大小:2.8 GB 最近下载:2024-07-11 热度:148

Lynda.Learning.Python.GUI.Programming-XQZT

llpgp-xqzt.iso 953.0 MB
llpgp-xqzt.nfo 1.4 kB
llpgp-xqzt.sfv 450 Bytes

[磁力链接] 添加时间:2017-07-14 大小:953.0 MB 最近下载:2024-06-27 热度:56

[FreeAllCourse.Com] 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.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.srt 49.5 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:2022-03-29 大小:6.5 GB 最近下载:2024-06-23 热度:17

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

10/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.4 MB
11/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
5. Dynamic Programming/4. Iterative Policy Evaluation in Code.mp4 71.8 MB
9. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
1. Welcome/5. Warmup.mp4 65.7 MB
4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
5. Dynamic Programming/9. Policy Iteration in Code.mp4 59.1 MB
4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
9. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.5 MB
5. Dynamic Programming/10. Policy Iteration in Windy Gridworld.mp4 53.9 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
2. Return of the Multi-Armed Bandit/24. (Optional) Alternative Bandit Designs.mp4 52.8 MB
9. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB

[磁力链接] 添加时间:2021-04-10 大小:3.4 GB 最近下载:2024-05-26 热度:61

[Tutorialsplanet.NET] Udemy - Bayesian Machine Learning in Python AB Testing

7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. 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. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

[磁力链接] 添加时间:2021-04-01 大小:1.5 GB 最近下载:2024-04-11 热度:660

[Tutorialsplanet.NET] Udemy - Advanced AI Deep Reinforcement Learning in Python

6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.srt 246.0 MB
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.srt 245.1 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.srt 195.4 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.srt 193.3 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 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.srt 97.9 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.srt 91.2 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.srt 88.6 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.srt 85.4 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB

[磁力链接] 添加时间:2021-04-20 大小:3.8 GB 最近下载:2024-03-18 热度:71

[GigaCourse.com] Udemy - Learn Python 3 - Your First Step to Learning Python

2. Setup a Proper Python Environment/1. Download All Python Environment Software.mp4 76.3 MB
9. Python Dictionaries/2. Accessing Items Dictionary Keys.mp4 68.6 MB
10. Python Sets/2. Unordered and Unindexed Python Set.mp4 65.4 MB
9. Python Dictionaries/6. Dictionary Methods.mp4 64.6 MB
6. Python Strings/1. String Literals In Python.mp4 62.1 MB
10. Python Sets/3. Set Methods.mp4 59.2 MB
7. Python Lists/5. Update Python List Values.mp4 56.9 MB
3. Python Getting Started/3. Python Statement Order.mp4 55.5 MB
9. Python Dictionaries/1. Create A Python Dictionary.mp4 54.0 MB
4. Python Variables/1. Introduction to Python Variables.mp4 52.8 MB
7. Python Lists/4. Multi-Dimensional Python Lists.mp4 52.4 MB
7. Python Lists/3. Mutable vs Immutable Objects In Python.mp4 52.3 MB
6. Python Strings/9. Python String Methods split() and join().mp4 48.8 MB
9. Python Dictionaries/4. Deleting and Clearing Python Dictionary items.mp4 46.9 MB
9. Python Dictionaries/3. Python Dictionary update().mp4 46.7 MB
6. Python Strings/8. Python Slice().mp4 45.1 MB
7. Python Lists/8. Python Variable Synchronization and copy().mp4 45.1 MB
6. Python Strings/4. Python Escape.mp4 44.9 MB
3. Python Getting Started/2. Code Blocks and Indentation In Python.mp4 43.6 MB
5. Python Numbers/1. Python Arithmetic and Assignment Operators.mp4 43.2 MB

[磁力链接] 添加时间:2021-04-27 大小:1.9 GB 最近下载:2023-12-28 热度:20

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. 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/22. 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/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB

[磁力链接] 添加时间:2021-04-30 大小:5.5 GB 最近下载:2023-12-28 热度:7

Python 3 E-learning Text-to-Speech Alphabet application

TutsGalaxy.com.txt 41 Bytes
Torrent_downloaded_from_Demonoid_-_www.demonoid.pw_.txt 59 Bytes
Read Me.txt 80 Bytes
Python 3 E-learning Text-to-Speech Alphabet application.zip 582.3 MB

[磁力链接] 添加时间:2018-09-25 大小:582.3 MB 最近下载:2022-05-01 热度:56

[FreeCourseLab.me] Udemy - Python required for Data Science and Machine Learning 2020

6. Python Basics V/2. Topic 2.mp4 83.6 MB
8. Exploratory Data Analysis/2. Case Study - Topic 2.mp4 65.1 MB
6. Python Basics V/1. Topic 1.mp4 63.6 MB
3. Python Basics II/4. Topic 4.mp4 48.7 MB
7. Visualization Tools/2. Matplotlib - Topic 2.mp4 41.8 MB
5. Python Basics IV/1. Topic 1.mp4 34.9 MB
5. Python Basics IV/4. Topic 4.mp4 32.9 MB
3. Python Basics II/3. Topic 3.mp4 28.4 MB
1. Introduction/3. What is Machine Learning and Data Science.mp4 28.3 MB
5. Python Basics IV/2. Topic 2.mp4 27.4 MB
3. Python Basics II/2. Topic 2.mp4 26.7 MB
2. Python Basic I/4. Topic 2.mp4 22.3 MB
2. Python Basic I/2. Installation.mp4 21.3 MB
7. Visualization Tools/3. Seaborn- Topic 1.mp4 18.8 MB
5. Python Basics IV/3. Topic 3.srt 18.0 MB
5. Python Basics IV/3. Topic 3.mp4 18.0 MB
4. Python Basics III/1. Topic 1.mp4 17.0 MB
7. Visualization Tools/7. Seaborn- Topic 5.mp4 16.8 MB
4. Python Basics III/4. Topic 4.mp4 15.1 MB
8. Exploratory Data Analysis/1. Case Study - Topic 1.mp4 14.6 MB

[磁力链接] 添加时间:2021-03-31 大小:750.4 MB 最近下载:2022-04-18 热度:100

[ DevCourseWeb.com ] Udemy - Deep Learning - Recurrent Neural Networks with Python.zip

[ DevCourseWeb.com ] Udemy - Deep Learning - Recurrent Neural Networks with Python.zip 3.8 GB

[磁力链接] 添加时间:2021-04-10 大小:3.8 GB 最近下载:2022-02-22 热度:21

Packt Publishing - Learning Path Python Web Development

Packt Publishing - Learning Path Python Web Development.iso 1.9 GB
More_info.txt 658 Bytes

[磁力链接] 添加时间:2017-02-27 大小:1.9 GB 最近下载:2022-02-22 热度:108