learning python -移花宫 -武林禁地，闲人禁止入内

Deep Learning Prerequisites The Numpy Stack in Python

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
3. Pandas/7. .values vs .as_matrix().mp4 34.9 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
6. Appendix FAQ/1. Exercises.mp4 17.5 MB
4. Matplotlib/4. Plotting Images.mp4 12.8 MB
2. Numpy/7. More Matrix Operations.mp4 12.6 MB
2. Numpy/1. Lists vs. Arrays.mp4 11.2 MB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4 10.6 MB
5. Scipy/5. Other Interesting Scipy Functions.mp4 10.5 MB
5. Scipy/1. Gaussian PDF and CDF.mp4 8.9 MB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4 8.6 MB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.6 MB
3. Pandas/1. Manual Data Loading.mp4 8.5 MB
1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4 7.9 MB
5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4 7.9 MB

[磁力链接] 添加时间:2022-01-22 大小:699.0 MB 最近下载:2025-10-12 热度:870

[Tutorialsplanet.NET] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

[磁力链接] 添加时间:2022-02-10 大小:2.4 GB 最近下载:2025-10-25 热度:862

[DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

[磁力链接] 添加时间:2022-01-18 大小:924.3 MB 最近下载:2025-10-25 热度:861

Udemy - From 0 to 1 Machine Learning, NLP & Python-Cut to the Chase (2015)

10_-_Artificial_Neural_Networks/22_-_Perceptron_-_How_it_works.mp4 60.4 MB
06_-_Support_Vector_Machines/15_-_Support_Vector_Machines_Introduced.mp4 71.0 MB
04_-_Naive_Bayes_Classifier/12_-_Naive_Bayes_Classifier_-_Application_to_spam_detection.mp4 72.1 MB
08_-_Association_Detection/18_-_Association_Rules_Learning.mp4 75.4 MB
03_-_Classification_-_A_form_of_supervised_learning/07_-_Bias_Variance_Trade-off.mp4 77.4 MB
04_-_Naive_Bayes_Classifier/10_-_Naive_Bayes_Classifier.mp4 77.6 MB
12_-_Natural_Language_Processing_and_Python/27_-_Document_Distance_using_TF-IDF.mp4 82.9 MB
04_-_Naive_Bayes_Classifier/09_-_Bayes_Theorem.mp4 87.7 MB
05_-_K-Nearest_Neighbors/13_-_K-Nearest_Neighbors.mp4 93.0 MB
12_-_Natural_Language_Processing_and_Python/24_-_A_Serious_NLP_Application_-_Text_Auto_Summarization_using_Python.mp4 95.5 MB
04_-_Naive_Bayes_Classifier/11_-_Naive_Bayes_Classifier_-_An_example.mp4 100.6 MB
11_-_Regression_as_a_form_of_supervised_learning/23_-_Regression_Introduced_-_Linear_and_Logistic_Regression.mp4 103.8 MB
12_-_Natural_Language_Processing_and_Python/28_-_Put_it_to_work_-_News_Article_Clustering_with_K-Means_and_TF-IDF.mp4 112.4 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/02_-_Machine_Learning_-_Why_should_you_jump_on_the_bandwagon.mp4 112.9 MB
05_-_K-Nearest_Neighbors/14_-_K-Nearest_Neighbors_-_A_few_wrinkles.mp4 120.3 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/04_-_Spam_Detection_with_Machine_Learning_Continued.mp4 122.8 MB
07_-_Clustering_as_a_form_Unsupervised_learning/17_-_Clustering_-_Problems_and_Techniques.mp4 124.8 MB
04_-_Naive_Bayes_Classifier/08_-_Random_Variables.mp4 125.0 MB
02_-_Jump_right_in_-_Machine_learning_for_Spam_detection/05_-_Get_the_Lay_of_the_Land_-_Types_of_Machine_Learning_Problems.mp4 125.9 MB
06_-_Support_Vector_Machines/16_-_Support_Vector_Machines_-_Maximum_Margin_Hyperplane_and_Kernel_Trick.mp4 126.7 MB

[磁力链接] 添加时间:2017-05-29 大小:3.1 GB 最近下载:2025-04-22 热度:859

[GigaCourse.Com] Udemy - Complete Machine Learning & Data Science with Python A-Z

4. Linear Regression Algorithm/5. Linear Regression Algorithm Project Solutions.mp4 207.1 MB
4. Linear Regression Algorithm/2. Linear Regression Algorithm With Python Part 1.mp4 173.8 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/4. K Nearest Neighbors Algorithm Project Solutions.mp4 151.4 MB
7. K Nearest Neighbors Algorithm - Uploaded by Snorgared - SAnet.ST/2. K Nearest Neighbors Algorithm With Python.mp4 147.2 MB
9. Support Vector Machine Algorithm/2. Support Vector Machines Algorithm With Python.mp4 143.3 MB
11. K Means Clustering Algorithm/4. K Means Clustering Algorithm Project Solutions.mp4 134.8 MB
13. Principal Component Analysis (PCA)/2. Principal Component Analysis (PCA) With Python.mp4 133.1 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/3. Logistic Regression Algorithm With Python Part 2.mp4 120.4 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/6. Logistic Regression Algorithm Project Solutions.mp4 119.8 MB
2. Evalution Metrics/2. Evaluating Performance Classification Error Metrics.mp4 117.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/2. Logistic Regression Algorithm With Python Part 1.mp4 115.8 MB
8. Decision Trees And Random Forest Algorithm/4. Decision Trees And Random Forest Algorithm Project Solutions Part 1.mp4 111.0 MB
9. Support Vector Machine Algorithm/4. Support Vector Machines Algorithm Project Solutions.mp4 102.7 MB
14. Recommender System Algorithm/2. Recommender System Algorithm With Python Part 1.mp4 98.6 MB
14. Recommender System Algorithm/3. Recommender System Algorithm With Python Part 2.mp4 97.6 MB
6. Logistic Regression Algorithm - Uploaded by Snorgared - SAnet.ST/1. Logistic Regression Algorithm Theory.mp4 96.0 MB
11. K Means Clustering Algorithm/2. K Means Clustering Algorithm With Python.mp4 93.4 MB
8. Decision Trees And Random Forest Algorithm/2. Decision Trees And Random Forest Algorithm With Python.mp4 90.4 MB
8. Decision Trees And Random Forest Algorithm/5. Decision Trees And Random Forest Algorithm Project Solutions Part 2.mp4 88.5 MB
2. Evalution Metrics/4. Machine Learning With Python.mp4 70.0 MB

[磁力链接] 添加时间:2022-03-22 大小:3.3 GB 最近下载:2025-10-06 热度:858

[FreeCourseSite.com] Udemy - Machine Learning with SciKit-Learn with Python

9. Cross Validation/13. Performance Analysis on the Test Set.mp4 125.2 MB
6. Pandas/6. Remove Operations.mp4 123.1 MB
9. Cross Validation/5. PCA Pipeline.mp4 122.9 MB
9. Cross Validation/1. Cross Validation.mp4 117.4 MB
5. Matlplotlib/3. Multiple Figures and Subplots.mp4 115.7 MB
8. Learning and Predicting/4. Persisting Models.mp4 110.3 MB
9. Cross Validation/3. K-Means Clustering Example.mp4 109.0 MB
6. Pandas/7. Pandas Arithmetic Operations.mp4 108.2 MB
6. Pandas/4. Data Structure in Pandas Continue.mp4 107.1 MB
8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 106.3 MB
3. NumPy Array/6. Numpy Array Splicing.mp4 103.6 MB
3. NumPy Array/4. NumPy Array Operations Continue.mp4 97.5 MB
9. Cross Validation/15. Language Identifcation.mp4 97.4 MB
9. Cross Validation/9. Text Data Example.mp4 94.2 MB
3. NumPy Array/8. Stacking Together Different Arrays.mp4 89.7 MB
5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 89.6 MB
9. Cross Validation/14. Parameter Tuning.mp4 89.3 MB
6. Pandas/3. Data Structure in Pandas.mp4 88.0 MB
6. Pandas/5. Pandas Column Select.mp4 83.4 MB
3. NumPy Array/3. NumPy Array Operations.mp4 82.3 MB

[磁力链接] 添加时间:2022-02-07 大小:3.9 GB 最近下载:2025-09-06 热度:844

[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/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/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 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
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

[磁力链接] 添加时间:2021-03-23 大小:987.8 MB 最近下载:2025-08-16 热度:841

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

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.srt 150.6 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

[磁力链接] 添加时间:2022-03-02 大小:6.2 GB 最近下载:2025-09-28 热度:841

Frank Kane - Data Science and Machine Learning with Python

01 Getting Started/001 Introduction.mp4 46.1 MB
01 Getting Started/002 Getting What You Need.mp4 26.4 MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4 35.0 MB
01 Getting Started/004 Python Basics, Part 1.mp4 46.1 MB
01 Getting Started/005 Activity Python Basics, Part 2.mp4 29.8 MB
01 Getting Started/006 Running Python Scripts.mp4 22.6 MB
02 Statistics and Probability Refresher, and Python Practise/001 Types of Data.mp4 35.8 MB
02 Statistics and Probability Refresher, and Python Practise/002 Mean, Median, Mode.mp4 29.5 MB
02 Statistics and Probability Refresher, and Python Practise/003 Activity Using mean, median, and mode in Python.mp4 40.9 MB
02 Statistics and Probability Refresher, and Python Practise/004 Activity Variation and Standard Deviation.mp4 47.8 MB
02 Statistics and Probability Refresher, and Python Practise/005 Probability Density Function Probability Mass Function.mp4 13.0 MB
02 Statistics and Probability Refresher, and Python Practise/006 Common Data Distributions.mp4 29.0 MB
02 Statistics and Probability Refresher, and Python Practise/007 Activity Percentiles and Moments.mp4 45.1 MB
02 Statistics and Probability Refresher, and Python Practise/008 Activity A Crash Course in matplotlib.mp4 51.7 MB
02 Statistics and Probability Refresher, and Python Practise/009 Activity Covariance and Correlation.mp4 52.2 MB
02 Statistics and Probability Refresher, and Python Practise/010 Exercise Conditional Probability.mp4 55.4 MB
02 Statistics and Probability Refresher, and Python Practise/011 Exercise Solution Conditional Probability of Purchase by Age.mp4 14.8 MB
02 Statistics and Probability Refresher, and Python Practise/012 Bayes Theorem.mp4 31.6 MB
03 Predictive Models/001 Activity Linear Regression.mp4 43.1 MB
03 Predictive Models/002 Activity Polynomial Regression.mp4 31.2 MB

[磁力链接] 添加时间:2017-08-15 大小:2.7 GB 最近下载:2025-10-26 热度:832

Machine Learning & Data Science A-Z Hands-on Python 2021

06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
03 Data Preprocessing/012 Normalization.mp4 195.9 MB
05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB

[磁力链接] 添加时间:2022-02-05 大小:7.2 GB 最近下载:2025-10-23 热度:831

[FTUForum.com] [UDEMY] Machine Learning Basics Building Regression Model in Python [FTU]

6. Linear Regression/18. Ridge regression and Lasso in Python.mp4 264.3 MB
4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 129.9 MB
5. Data Preprocessing/16. Bi-variate analysis and Variable transformation.mp4 119.3 MB
6. Linear Regression/5. Assessing accuracy of predicted coefficients.mp4 109.5 MB
6. Linear Regression/10. Multiple Linear Regression in Python.mp4 92.4 MB
6. Linear Regression/16. Subset selection techniques.mp4 91.4 MB
5. Data Preprocessing/10. Outlier Treatment in Python.mp4 90.8 MB
2. Basics of Statistics/3. Describing data Graphically.mp4 86.2 MB
5. Data Preprocessing/23. Correlation Analysis.mp4 85.2 MB
3. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 84.5 MB
6. Linear Regression/3. Simple Linear Regression in Python.mp4 82.5 MB
5. Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 82.4 MB
5. Data Preprocessing/7. EDD in Python.mp4 78.7 MB
3. Setting up Python and Jupyter Notebook/6. Lists, Tuples and Directories Python Basics.mp4 77.3 MB
3. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 76.6 MB
5. Data Preprocessing/24. Correlation Analysis in Python.mp4 71.3 MB
6. Linear Regression/8. The F - statistic.mp4 67.2 MB
1. Introduction/2. Course contents.mp4 67.0 MB
6. Linear Regression/14. Test train split in Python.mp4 60.6 MB
3. Setting up Python and Jupyter Notebook/8. Working with Panda Library of Python.mp4 59.2 MB

[磁力链接] 添加时间:2021-03-16 大小:3.0 GB 最近下载:2025-10-16 热度:830

[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

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
4. NumPy/2. NumPy Arrays.mp4 115.0 MB
5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB

[磁力链接] 添加时间:2021-03-09 大小:6.9 GB 最近下载:2025-10-22 热度:812

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip

[ FreeCourseWeb.com ] Udemy - Python Crash Course for Data Science and Machine Learning.zip 391.1 MB

[磁力链接] 添加时间:2021-03-30 大小:391.1 MB 最近下载:2025-09-05 热度:810

[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

Machine Learning Bootcamp w j陑yku Python cz.II - od A do Z - UDEMY.part2.rar

Machine Learning Bootcamp w j陑yku Python cz.II - od A do Z - UDEMY.part2.rar 289.9 MB

[磁力链接] 添加时间:2022-01-10 大小:289.9 MB 最近下载:2025-10-23 热度:809

[ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip

[ FreeCourseWeb.com ] Udemy - [2020] Python tutorial from Zero to Hero - + Machine Learning.zip 2.0 GB

[磁力链接] 添加时间:2021-03-20 大小:2.0 GB 最近下载:2025-10-20 热度:806

Machine Learning, Data Science and Deep Learning with Python

Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4 202.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4 180.7 MB
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 149.0 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4 148.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4 140.3 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4 140.1 MB
Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4 139.0 MB
Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 138.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4 136.7 MB
Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4 135.7 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4 135.6 MB
Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4 134.5 MB
Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4 134.1 MB
Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4 129.8 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4 122.4 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4 119.6 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/11. [Activity] Using the Spark 2.0 DataFrame API for MLLib.mp4 119.3 MB
Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4 116.9 MB
Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4 116.2 MB

[磁力链接] 添加时间:2022-03-09 大小:8.0 GB 最近下载:2025-10-27 热度:802

[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
[DesireCourse.Net].url 51 Bytes
[CourseClub.Me].url 48 Bytes

[磁力链接] 添加时间:2021-04-23 大小:774.8 MB 最近下载:2025-10-14 热度:800

Python for Machine Learning with Numpy, Pandas & Matplotlib

01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
03 Data Visualization/002 Data Visualizaton _ Part 2.mp4 281.5 MB
03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
03 Data Visualization/004 titanic_train.csv 60.3 kB
03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
02 Numpy & Pandas for Data Science/002 Numpy Tutorials.ipynb 26.4 kB
02 Numpy & Pandas for Data Science/002 Pandas.ipynb 15.2 kB
02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
Downloaded from 1337x.html 543 Bytes

[磁力链接] 添加时间:2022-04-17 大小:4.4 GB 最近下载:2025-09-03 热度:799