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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

[FreeCourseSite.com] Udemy - 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
  • 0. Websites you may like/[FCS Forum].url 133 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes
  • 0. Websites you may like/[GigaCourse.Com].url 49 Bytes
[磁力链接] 添加时间:2022-01-09 大小:4.4 GB 最近下载:2025-10-27 热度:3591

[FreeCourseLab.com] Udemy - 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
  • [FreeCourseLab.com].url 126 Bytes
[磁力链接] 添加时间:2022-01-16 大小:4.4 GB 最近下载:2025-09-21 热度:413

[GigaCourse.Com] Udemy - Artificial Intelligence - Reinforcement Learning in Python

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. 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
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-03-29 大小:4.4 GB 最近下载:2025-10-28 热度:1969

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

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. 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
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-01-20 大小:4.4 GB 最近下载:2025-10-17 热度:1762

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

  • 11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • 10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • 2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • 6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • 1. Welcome/5. Warmup.mp4 65.6 MB
  • 8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • 5. Dynamic Programming/10. 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
  • 10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-01-31 大小:4.4 GB 最近下载:2025-08-17 热度:448

Recommender Systems and Deep Learning in Python

  • Recommender Systems and Deep Learning in Python/8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/10. What order should I take your courses in (part 2).mp4 129.0 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • Recommender Systems and Deep Learning in Python/2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/9. What order should I take your courses in (part 1).mp4 92.7 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • Recommender Systems and Deep Learning in Python/8. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • Recommender Systems and Deep Learning in Python/6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • Recommender Systems and Deep Learning in Python/5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • Recommender Systems and Deep Learning in Python/3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • Recommender Systems and Deep Learning in Python/4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • Recommender Systems and Deep Learning in Python/7. Basics Review/2. (Review) Keras Neural Network in Code.mp4 69.4 MB
[磁力链接] 添加时间:2022-01-19 大小:4.4 GB 最近下载:2025-08-31 热度:258

Deployment of Machine Learning Models in Production Python

  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
  • [TutsNode.com] - Deployment of Machine Learning Models in Production Python/07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB
[磁力链接] 添加时间:2021-03-23 大小:4.4 GB 最近下载:2025-10-26 热度:2164

Recommender Systems and Deep Learning in Python

  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/81 - Anaconda Environment Setup.mp4 334.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/10 - Setting Up Your Environment FAQ by Student Request/82 - How to How to install Numpy Theano Tensorflow etc.mp4 200.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 182.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 181.7 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.1 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 147.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/89 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 121.8 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/85 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.4 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/11 - Extra Help With Python Coding for Beginners FAQ by Student Request/83 - How to Code by Yourself part 1.mp4 97.6 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.5 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.0 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.6 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.3 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.2 MB
  • [TutsNode.net] - Recommender Systems and Deep Learning in Python/12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/88 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
[磁力链接] 添加时间:2024-04-11 大小:4.4 GB 最近下载:2025-09-16 热度:732

[Tutorialsplanet.NET] Udemy - Learning Python for Data Analysis and Visualization

  • 10. Machine Learning/16. Decision Trees and Random Forests.mp4 252.2 MB
  • 9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
  • 10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.2 MB
  • 10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
  • 10. Machine Learning/18. Natural Language Processing Part 2.mp4 107.0 MB
  • 10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
  • 9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
  • 10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
  • 11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
  • 10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
  • 10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
  • 10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
  • 2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
  • 10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
  • 10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
  • 10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
  • 10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
  • 10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
  • 8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
  • 10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB
[磁力链接] 添加时间:2021-05-10 大小:4.3 GB 最近下载:2025-08-25 热度:261

[FreeCourseSite.com] Udemy - Deployment of Machine Learning Models in Production Python

  • 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
  • 02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
  • 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
  • 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
  • 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
  • 06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
  • 05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
  • 02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
  • 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
  • 02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
  • 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
  • 03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
  • 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
  • 04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
  • 07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB
[磁力链接] 添加时间:2021-05-14 大小:4.3 GB 最近下载:2025-10-21 热度:923

[FreeTutorials.Eu] [UDEMY] Recommender Systems and Deep Learning in Python - [FTU]

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • 3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • 7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
  • 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB
[磁力链接] 添加时间:2021-03-15 大小:4.3 GB 最近下载:2025-10-26 热度:1532

[DesireCourse.Com] Udemy - Recommender Systems and Deep Learning in Python

  • 8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 203.7 MB
  • 8. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 175.1 MB
  • 3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 161.0 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 134.8 MB
  • 8. Appendix/9. What order should I take your courses in (part 2).mp4 129.0 MB
  • 8. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.0 MB
  • 3. Collaborative Filtering/4. Data Preprocessing.mp4 121.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/3. Matrix Factorization in Spark.mp4 115.4 MB
  • 2. Simple Recommendation Systems/12. Bayesian Approach part 4 (Code).mp4 111.7 MB
  • 4. Matrix Factorization and Deep Learning/19. Autoencoders (AutoRec) Code.mp4 107.3 MB
  • 4. Matrix Factorization and Deep Learning/8. Matrix Factorization in Code - Vectorized.mp4 102.1 MB
  • 8. Appendix/8. What order should I take your courses in (part 1).mp4 92.7 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/13. Speeding up the RBM Code.mp4 87.0 MB
  • 8. Appendix/6. How to Code by Yourself (part 1).mp4 86.5 MB
  • 6. Big Data Matrix Factorization with Spark Cluster on AWS EC2/5. Setting up a Spark Cluster on AWS EC2.mp4 76.8 MB
  • 5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/10. RBM Code pt 1.mp4 73.8 MB
  • 3. Collaborative Filtering/7. Item-Item Collaborative Filtering in Code.mp4 72.8 MB
  • 4. Matrix Factorization and Deep Learning/2. Matrix Factorization - First Steps.mp4 72.0 MB
  • 7. Basics Review/2. Keras Neural Network in Code.mp4 69.4 MB
  • 4. Matrix Factorization and Deep Learning/13. Matrix Factorization in Keras (Code).mp4 67.0 MB
[磁力链接] 添加时间:2021-03-13 大小:4.3 GB 最近下载:2025-10-27 热度:2500

Udemy - Recommender Systems and Deep Learning in Python (5.2024)

  • 10 - Setting Up Your Environment FAQ by Student Request/82 - Anaconda Environment Setup.mp4 334.6 MB
  • 10 - Setting Up Your Environment FAQ by Student Request/83 - How to How to install Numpy Theano Tensorflow etc.mp4 201.0 MB
  • 3 - Collaborative Filtering/24 - UserUser Collaborative Filtering in Code.mp4 183.4 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/65 - Matrix Factorization in Spark.mp4 182.0 MB
  • 5 - Matrix Factorization and Deep Learning/49 - Autoencoders AutoRec Code.mp4 159.5 MB
  • 6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/61 - RBM Code pt 3.mp4 148.2 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/91 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 143.0 MB
  • 12 - Effective Learning Strategies for Machine Learning FAQ by Student Request/90 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 141.4 MB
  • 3 - Collaborative Filtering/23 - Data Preprocessing.mp4 131.9 MB
  • 9 - Bayesian Ranking Scary Version/79 - Optional Bayesian Approach part 4 Code.mp4 122.3 MB
  • 11 - Extra Help With Python Coding for Beginners FAQ by Student Request/86 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.7 MB
  • 6 - Restricted Boltzmann Machines RBMs for Collaborative Filtering/62 - Speeding up the RBM Code.mp4 98.6 MB
  • 11 - Extra Help With Python Coding for Beginners FAQ by Student Request/84 - How to Code by Yourself part 1.mp4 98.1 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/66 - Spark Submit.mp4 78.7 MB
  • 7 - Big Data Matrix Factorization with Spark Cluster on AWS EC2/67 - Setting up a Spark Cluster on AWS EC2.mp4 77.4 MB
  • 5 - Matrix Factorization and Deep Learning/43 - Matrix Factorization in Keras Code.mp4 75.3 MB
  • 5 - Matrix Factorization and Deep Learning/38 - Matrix Factorization in Code Vectorized.mp4 74.9 MB
  • 5 - Matrix Factorization and Deep Learning/32 - Matrix Factorization First Steps.mp4 70.8 MB
  • 2 - Simple Recommendation Systems/15 - PageRank part 1.mp4 68.6 MB
  • 13 - Appendix FAQ Finale/93 - BONUS.mp4 64.0 MB
[磁力链接] 添加时间:2025-07-09 大小:4.3 GB 最近下载:2025-10-28 热度:202

[GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

  • 15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
  • 12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
  • 14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
  • 13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
  • 11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
  • 5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
  • 9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
  • 18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
  • 11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
  • 18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
  • 3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
  • 12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
  • 4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
  • 3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
  • 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
  • 13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
  • 10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
  • 19. Test Train Split/4. Test train split in R.mp4 79.3 MB
  • 18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
  • 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
[磁力链接] 添加时间:2021-04-29 大小:4.3 GB 最近下载:2025-10-27 热度:1373

[Tutorialsplanet.NET] Udemy - Master Computer Vision™ OpenCV4 in Python with Deep Learning

  • 19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
  • 12/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
  • 1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
  • 18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
  • 13/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
  • 1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
  • 20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
  • 16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
  • 14/3. Convolutions & Image Features.mp4 107.4 MB
  • 13/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
  • 12/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
  • 15/12. Building a Simple Image Classifier using CIFAR10.vtt 78.0 MB
  • 15/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
  • 15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
  • 15/2. Building a CNN in Keras.mp4 77.3 MB
  • 13/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
  • 12/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
  • 13/4. Forward Propagation.mp4 66.4 MB
  • 8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
  • 13/5. Activation Functions.mp4 62.6 MB
[磁力链接] 添加时间:2022-01-26 大小:4.3 GB 最近下载:2025-10-27 热度:2340

Learning Python for Data Analysis and Visualization

  • Learning Python for Data Analysis and Visualization/10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/089 Natural Language Processing Part 3.mp4 146.2 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/070 Data Project - Election Analysis Part 4.mp4 129.8 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/090 Natural Language Processing Part 4.mp4 106.8 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/079 Logistic Regression Part 4.mp4 102.7 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/065 Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/088 Natural Language Processing Part 2.mp4 92.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/083 Support Vector Machines - Part 2.mp4 90.0 MB
  • Learning Python for Data Analysis and Visualization/11 Appendix Statistics Overview/099 Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/075 Linear Regression Part 4.mp4 82.5 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/081 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/076 Logistic Regression Part 1.mp4 75.3 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/074 Linear Regression Part 3.mp4 72.2 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/080 Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/087 Natural Language Processing Part 1.mp4 68.9 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/085 Naive Bayes Part 2.mp4 68.7 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/082 Support Vector Machines Part 1.mp4 68.1 MB
  • Learning Python for Data Analysis and Visualization/08 Data Visualization/049 Kernel Density Estimate Plots.mp4 64.9 MB
  • Learning Python for Data Analysis and Visualization/09 Example Projects/054 Data Projects Preview.mp4 62.4 MB
  • Learning Python for Data Analysis and Visualization/10 Machine Learning/072 Linear Regression Part 1.mp4 61.5 MB
[磁力链接] 添加时间:2022-02-04 大小:4.3 GB 最近下载:2025-10-15 热度:629

[UdemyCourseDownloader] Learning Python for Data Analysis and Visualization

  • 10 Machine Learning/086 Decision Trees and Random Forests.mp4 243.4 MB
  • udemycoursedownloader.com.url 132 Bytes
  • 01 Intro to Course and Python/001 Course Intro.mp4 13.9 MB
  • 01 Intro to Course and Python/002 Course FAQs.html 7.4 kB
  • 02 Setup/003 Installation Setup and Overview.mp4 39.5 MB
  • 02 Setup/004 IDEs and Course Resources.mp4 40.4 MB
  • 02 Setup/005 iPythonJupyter Notebook Overview.mp4 60.6 MB
  • 02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt 176 Bytes
  • 03 Learning Numpy/006 Intro to numpy.html 1.2 kB
  • 03 Learning Numpy/007 Creating arrays.mp4 13.7 MB
  • 03 Learning Numpy/008 Using arrays and scalars.mp4 8.3 MB
  • 03 Learning Numpy/009 Indexing Arrays.mp4 27.4 MB
  • 03 Learning Numpy/010 Array Transposition.mp4 7.9 MB
  • 03 Learning Numpy/011 Universal Array Function.mp4 15.7 MB
  • 03 Learning Numpy/012 Array Processing.mp4 43.0 MB
  • 03 Learning Numpy/013 Array Input and Output.mp4 14.7 MB
  • 04 Intro to Pandas/014 Series.mp4 25.9 MB
  • 04 Intro to Pandas/015 DataFrames.mp4 55.4 MB
  • 04 Intro to Pandas/016 Index objects.mp4 9.7 MB
  • 04 Intro to Pandas/017 Reindex.mp4 33.8 MB
[磁力链接] 添加时间:2018-11-23 大小:4.3 GB 最近下载:2025-10-27 热度:1865

[FreeTutorials.us] learning-python-for-data-analysis-and-visualization

  • 01 Intro to Course and Python/001 Course Intro.mp4 13.9 MB
  • 01 Intro to Course and Python/002 Course FAQs.html 7.4 kB
  • 02 Setup/003 Installation Setup and Overview.mp4 39.5 MB
  • 02 Setup/004 IDEs and Course Resources.mp4 40.4 MB
  • 02 Setup/005 iPythonJupyter Notebook Overview.mp4 60.6 MB
  • 02 Setup/attached_files/005 iPythonJupyter Notebook Overview/Lecture-4-Info.txt 176 Bytes
  • 03 Learning Numpy/006 Intro to numpy.html 1.2 kB
  • 03 Learning Numpy/007 Creating arrays.mp4 13.7 MB
  • 03 Learning Numpy/008 Using arrays and scalars.mp4 8.3 MB
  • 03 Learning Numpy/009 Indexing Arrays.mp4 27.4 MB
  • 03 Learning Numpy/010 Array Transposition.mp4 7.9 MB
  • 03 Learning Numpy/011 Universal Array Function.mp4 15.7 MB
  • 03 Learning Numpy/012 Array Processing.mp4 43.0 MB
  • 03 Learning Numpy/013 Array Input and Output.mp4 14.7 MB
  • 04 Intro to Pandas/014 Series.mp4 25.9 MB
  • 04 Intro to Pandas/015 DataFrames.mp4 55.4 MB
  • 04 Intro to Pandas/016 Index objects.mp4 9.7 MB
  • 04 Intro to Pandas/017 Reindex.mp4 33.8 MB
  • 04 Intro to Pandas/018 Drop Entry.mp4 9.7 MB
  • 04 Intro to Pandas/019 Selecting Entries.mp4 19.0 MB
[磁力链接] 添加时间:2017-08-09 大小:4.3 GB 最近下载:2025-10-27 热度:1705

[FreeTutorials.us] learning-python-for-data-analysis-and-visualization

  • Freetutorials.us.url 119 Bytes
  • [FreeTutorials.us].txt 75 Bytes
  • 02 Setup/004 IDEs and Course Resources.mp4 40.4 MB
  • 02 Setup/005 iPythonJupyter Notebook Overview.mp4 60.6 MB
  • 02 Setup/003 Installation Setup and Overview.mp4 39.5 MB
  • 03 Learning Numpy/011 Universal Array Function.mp4 15.7 MB
  • 03 Learning Numpy/012 Array Processing.mp4 43.0 MB
  • 03 Learning Numpy/013 Array Input and Output.mp4 14.7 MB
  • 03 Learning Numpy/010 Array Transposition.mp4 7.9 MB
  • 03 Learning Numpy/008 Using arrays and scalars.mp4 8.3 MB
  • 03 Learning Numpy/009 Indexing Arrays.mp4 27.4 MB
  • 03 Learning Numpy/007 Creating arrays.mp4 13.7 MB
  • 03 Learning Numpy/006 Intro to numpy.html 1.2 kB
  • 04 Intro to Pandas/021 Rank and Sort.mp4 9.9 MB
  • 04 Intro to Pandas/022 Summary Statistics.mp4 48.3 MB
  • 04 Intro to Pandas/023 Missing Data.mp4 19.8 MB
  • 04 Intro to Pandas/024 Index Hierarchy.mp4 25.2 MB
  • 04 Intro to Pandas/020 Data Alignment.mp4 18.6 MB
  • 04 Intro to Pandas/019 Selecting Entries.mp4 19.0 MB
  • 04 Intro to Pandas/014 Series.mp4 25.9 MB
[磁力链接] 添加时间:2017-08-13 大小:4.3 GB 最近下载:2025-08-05 热度:688


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