learning python -移花宫 -武林禁地，闲人禁止入内

[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 - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip

[ FreeCourseWeb.com ] Udemy - Learning Path- Python-Data Visualization with Matplotlib 2.x.zip 1.3 GB

[磁力链接] 添加时间:2021-03-17 大小:1.3 GB 最近下载:2025-10-22 热度:789

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip

[ FreeCourseWeb.com ] Udemy - Machine Learning Crash Course for Beginners using Python.zip 3.5 GB

[磁力链接] 添加时间:2021-03-17 大小:3.5 GB 最近下载:2025-10-26 热度:4147

[ FreeCourseWeb.com ] Packt - Deep Learning and Neural Networks using Python - Keras- The Complete Beginners Guide.zip

[ FreeCourseWeb.com ] Packt - Deep Learning and Neural Networks using Python - Keras- The Complete Beginners Guide.zip 3.9 GB

[磁力链接] 添加时间:2021-03-17 大小:3.9 GB 最近下载:2025-11-02 热度:2066

[FreeCourseSite.com] 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:2021-03-17 大小:924.3 MB 最近下载:2025-11-01 热度:1559

[FreeCourseSite.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.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:2021-03-17 大小:8.5 GB 最近下载:2025-08-26 热度:1420

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

9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 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.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
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB

[磁力链接] 添加时间:2021-03-17 大小:1.9 GB 最近下载:2025-10-23 热度:2524

[ FreeCourseWeb.com ] 40 Algorithms Every Programmer Should Know - Hone your problem-solving skills by learning different algorithms & implem in Python.zip

[ FreeCourseWeb.com ] 40 Algorithms Every Programmer Should Know - Hone your problem-solving skills by learning different algorithms & implem in Python.zip 571.5 MB

[磁力链接] 添加时间:2021-03-17 大小:571.5 MB 最近下载:2025-11-01 热度:693

[ FreeCourseWeb.com ] Udemy - 2019 AWS SageMaker and Machine Learning - With Python.zip

[ FreeCourseWeb.com ] Udemy - 2019 AWS SageMaker and Machine Learning - With Python.zip 4.5 GB

[磁力链接] 添加时间:2021-03-16 大小:4.5 GB 最近下载:2025-10-21 热度:770

Complete Data Science & Machine Learning Bootcamp - Python 3

Complete Data Science & Machine Learning Bootcamp - Python 3.zip 15.8 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

[磁力链接] 添加时间:2021-03-16 大小:15.8 GB 最近下载:2025-11-03 热度:5867

[ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip

[ FreeCourseWeb.com ] Packt - Machine Learning and Data Science with Python- A Complete Beginners Guide.zip 5.6 GB

[磁力链接] 添加时间:2021-03-16 大小:5.6 GB 最近下载:2025-10-15 热度:2584

[CourseClub.NET] Packtpub - Deep Learning for Python Developers

2 - Deep Models with MxNet and TensorFlow/Mini Project - CIFAR Classification.mp4 57.7 MB
5 - Hyperparameter Tuning/Mini Project -Music Synthesis.mp4 42.6 MB
3 - Improving Deep Neural Networks/Mini Project – SIGNS Dataset.mp4 39.4 MB
4 - Optimization Algorithms/Mini Project - Language Modeling.mp4 37.0 MB
5 - Hyperparameter Tuning/Hyperparameters.mp4 32.7 MB
4 - Optimization Algorithms/Understanding Stochastic Gradient Descent.mp4 27.0 MB
2 - Deep Models with MxNet and TensorFlow/Working with MxNet and Gluon.mp4 24.9 MB
2 - Deep Models with MxNet and TensorFlow/Defining and Training Neural Networks in MxNet_Gluon.mp4 24.5 MB
1 - Getting Started with Deep Learning/Convolutional Neural Network Handwriting Recognition.mp4 24.1 MB
1 - Getting Started with Deep Learning/Fundamentals of Neural Networks.mp4 21.0 MB
2 - Deep Models with MxNet and TensorFlow/Defining and Training Neural Networks in Keras_TensorFlow.mp4 19.3 MB
3 - Improving Deep Neural Networks/Weight Initialization for Deep Networks.mp4 19.3 MB
5 - Hyperparameter Tuning/Tuning Hyperparameters - Random Search.mp4 19.2 MB
5 - Hyperparameter Tuning/Tuning Hyperparameters - Grid Search.mp4 18.0 MB
4 - Optimization Algorithms/Adaptive Learning Algorithms - RMSProp and Adam.mp4 17.6 MB
2 - Deep Models with MxNet and TensorFlow/Working with TensorFlow and Keras.mp4 17.3 MB
3 - Improving Deep Neural Networks/Normalizing and Vanishing_Exploding Gradients.mp4 16.0 MB
3 - Improving Deep Neural Networks/Regularization and Dropout.mp4 13.9 MB
1 - Getting Started with Deep Learning/Logistic Regression with a Neural Network Mindset.mp4 12.2 MB
1 - Getting Started with Deep Learning/Using Forward Propagation, Backprop, and SGD.mp4 11.5 MB

[磁力链接] 添加时间:2021-03-16 大小:509.9 MB 最近下载:2025-11-03 热度:1109

[FreeCourseLab.com] Udemy - 2019 AWS SageMaker and Machine Learning - With Python

10. 2019 SageMaker HyperParameter Tuning/3. Lab Tuning Movie Rating Factorization Machine Recommender System.mp4 161.5 MB
5. XGBoost - Gradient Boosted Trees/10. Demo - Training on SageMaker Cloud - Kaggle Bike Rental Model Version 3.mp4 133.4 MB
8. SageMaker - DeepAR Time Series Forecasting/5. Demo - Bike Rental as Time Series Forecasting Problem.mp4 110.1 MB
3. 2019 Machine Learning Concepts/2. 2019 Data Types - How to handle mixed data types.mp4 107.2 MB
5. XGBoost - Gradient Boosted Trees/4. Demo - Working with XGBoost - Linear Regression Straight Line Fit.mp4 104.5 MB
5. XGBoost - Gradient Boosted Trees/6. Demo - Kaggle Bike Rental Data Setup, Exploration and Preparation.mp4 101.8 MB
5. XGBoost - Gradient Boosted Trees/7. Demo - Kaggle Bike Rental Model Version 1.mp4 100.8 MB
7. SageMaker - Factorization Machines/4. Demo - Movie Recommender Data Preparation.mp4 95.1 MB
8. SageMaker - DeepAR Time Series Forecasting/3. DeepAR Training and Inference Formats.mp4 93.8 MB
3. 2019 Machine Learning Concepts/3. 2019 Introduction to Python Notebook Environment.mp4 89.7 MB
9. 2019 Integration Options - Model Endpoint/9. Microservice - API Gateway, Lambda to Endpoint.mp4 88.2 MB
5. XGBoost - Gradient Boosted Trees/16. Demo - XGBoost Multi-Class Classification Iris Data.mp4 85.8 MB
3. 2019 Machine Learning Concepts/4. 2019 Introduction to working with Missing Data.mp4 85.7 MB
8. SageMaker - DeepAR Time Series Forecasting/6. Demo - Bike Rental Model Training.mp4 81.0 MB
9. 2019 Integration Options - Model Endpoint/5. Client to Endpoint using SageMaker SDK.mp4 80.7 MB
8. SageMaker - DeepAR Time Series Forecasting/2. Introduction to DeepAR Time Series Forecasting.mp4 79.5 MB
9. 2019 Integration Options - Model Endpoint/8. Microservice - Lambda to Endpoint.mp4 77.8 MB
5. XGBoost - Gradient Boosted Trees/1. Introduction to XGBoost.mp4 76.1 MB
3. 2019 Machine Learning Concepts/1. 2019 Introduction to Machine Learning, Concepts, Terminologies.mp4 73.6 MB
7. SageMaker - Factorization Machines/6. Demo - Movie Predictions By User.mp4 72.3 MB

[磁力链接] 添加时间:2021-03-16 大小:4.9 GB 最近下载:2025-11-04 热度:2092

[FreeCourseSite.com] Udemy - Zero to Deep Learning™ with Python and Keras

01-welcome-to-the-course/004-installation-video-guide.mp4 47.4 MB
03-machine-learning/045-exercise-2-solution.mp4 45.3 MB
03-machine-learning/031-linear-regression-code-along.mp4 41.8 MB
03-machine-learning/043-exercise-1-solution.mp4 39.1 MB
04-deep-learning-intro/051-multiclass-classification-code-along.mp4 35.6 MB
05-gradient-descent/070-learning-rate-code-along.mp4 34.8 MB
01-welcome-to-the-course/007-your-first-deep-learning-model.mp4 34.5 MB
02-data/011-plotting-with-matplotlib.mp4 34.4 MB
05-gradient-descent/077-inner-layers-visualization-code-along.mp4 33.8 MB
02-data/009-data-exploration-with-pandas-code-along.mp4 32.4 MB
09-improving-performance/131-movies-reviews-sentiment-analysis-code-along.mp4 28.0 MB
04-deep-learning-intro/057-exercise-2-solution.mp4 26.4 MB
04-deep-learning-intro/055-exercise-1-solution.mp4 26.0 MB
01-welcome-to-the-course/002-real-world-applications-of-deep-learning.mp4 24.7 MB
03-machine-learning/035-classification-code-along.mp4 24.0 MB
08-recurrent-neural-networks/116-rolling-windows-code-along.mp4 22.1 MB
04-deep-learning-intro/049-neural-networks-code-along.mp4 22.1 MB
04-deep-learning-intro/059-exercise-3-solution.mp4 21.6 MB
06-convolutional-neural-networks/089-mnist-classification-code-along.mp4 20.6 MB
05-gradient-descent/068-numpy-arrays-code-along.mp4 20.4 MB

[磁力链接] 添加时间:2021-03-16 大小:1.6 GB 最近下载:2025-10-09 热度:3078

Machine Learning Classification Bootcamp in Python

Machine Learning Classification Bootcamp in Python.zip 6.1 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes

[磁力链接] 添加时间:2021-03-16 大小:6.1 GB 最近下载:2025-11-02 热度:2401

[FreeCoursesOnline.Me] [Packt] Machine Learning for Algorithmic Trading Bots with Python [FCO]

05.Build Advanced Trading Algorithm/0502.Implement Scalpers Trading Strategy.mp4 127.9 MB
Exercise Files/exercise_files.zip 94.4 MB
01.Building Your First Trading Bot/0105.Fetching and Understanding the Dataset.mp4 71.6 MB
03.Build a Trading Algorithm/0303.Implement Exploit Correlation Strategy.mp4 60.7 MB
02.Design a Machine Learning Model/0202.Build and Implement Random Forests Algorithm.mp4 54.3 MB
06.Model and Strategy Evaluation/0601.Introducing Value at Risk Backtest.mp4 42.4 MB
01.Building Your First Trading Bot/0101.The Course Overview.mp4 42.0 MB
06.Model and Strategy Evaluation/0605.Conclusion and Next steps..mp4 41.2 MB
04.Design Advanced Machine Learning Model/0402.Implementing GBoosting Using Python.mp4 38.7 MB
06.Model and Strategy Evaluation/0604.Implement VaR Using SVR.mp4 38.7 MB
06.Model and Strategy Evaluation/0602.Implement Value at Risk Backtest.mp4 37.1 MB
01.Building Your First Trading Bot/0107.Evaluate the Strategy’s Performance.mp4 36.9 MB
04.Design Advanced Machine Learning Model/0403.Evaluating the Model Performance.mp4 36.0 MB
02.Design a Machine Learning Model/0201.Intuition behind Random Forests Algorithm.mp4 34.7 MB
01.Building Your First Trading Bot/0102.Introduction to Financial Machine Learning and Algorithmic Trading.mp4 32.8 MB
01.Building Your First Trading Bot/0103.Setting up the Environment.mp4 30.2 MB
01.Building Your First Trading Bot/0106.Build the Conventional Buy and Hold Strategy.mp4 26.0 MB
05.Build Advanced Trading Algorithm/0503.Evaluate Scalpers Trading Strategy.mp4 25.8 MB
02.Design a Machine Learning Model/0203.Plug-in Random Forests Implementation into Your Bot.mp4 22.6 MB
01.Building Your First Trading Bot/0104.Project Skeleton Overview.mp4 22.0 MB

[磁力链接] 添加时间:2021-03-16 大小:1.0 GB 最近下载:2025-11-03 热度:5829

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

9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB

[磁力链接] 添加时间:2021-03-16 大小:1.3 GB 最近下载:2025-10-31 热度:3173

[FreeAllCourse.Com] 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.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 116.7 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 90.7 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 74.3 MB
26. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 74.2 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 74.1 MB
25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB

[磁力链接] 添加时间:2021-03-16 大小:6.0 GB 最近下载:2025-10-24 热度:2407

[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:2025-11-02 热度:832

[DesireCourse.Com] Udemy - Ensemble Machine Learning in Python Random Forest, AdaBoost

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
3. Bootstrap Estimates and Bagging/1. Bootstrap Estimation.mp4 50.0 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
2. Bias-Variance Trade-Off/4. Polynomial Regression Demo.mp4 43.8 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
3. Bootstrap Estimates and Bagging/5. Bagging Classification Trees.mp4 21.3 MB
3. Bootstrap Estimates and Bagging/4. Bagging Regression Trees.mp4 16.6 MB
5. AdaBoost/4. AdaBoost Implementation.mp4 16.5 MB
4. Random Forest/2. Random Forest Regressor.mp4 15.6 MB
6. Appendix/6. 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/5. K-Nearest Neighbor and Decision Tree Demo.mp4 14.5 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 13.6 MB
6. Appendix/2. Confidence Intervals.mp4 13.2 MB
4. Random Forest/3. Random Forest Classifier.mp4 13.2 MB
5. AdaBoost/3. AdaBoost Loss Function Exponential Loss.mp4 11.7 MB

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