首页 磁力链接怎么用

Machine Learning, Data Science and Deep Learning with Python

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2021-6-12 13:09 2024-7-3 11:09 123 7.44 GB 90
二维码链接
Machine Learning, Data Science and Deep Learning with Python的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
文件列表
  1. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/7. [Activity] Decision Trees in Spark.mp4193.24MB
  2. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/1. Introduction.mp459.6MB
  3. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/2. Udemy 101 Getting the Most From This Course.mp419.77MB
  4. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/3. [Activity] Getting What You Need.mp428.05MB
  5. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/4. [Activity] Installing Enthought Canopy.mp4109.01MB
  6. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/5. Python Basics, Part 1 [Optional].mp4133.83MB
  7. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/6. [Activity] Python Basics, Part 2 [Optional].mp477.19MB
  8. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/7. Running Python Scripts [Optional].mp444.69MB
  9. Machine Learning, Data Science and Deep Learning with Python/1. Getting Started/8. Introducing the Pandas Library [Optional].mp4127.88MB
  10. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/1. Types of Data.mp477.24MB
  11. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/2. Mean, Median, Mode.mp456.15MB
  12. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/3. [Activity] Using mean, median, and mode in Python.mp492.74MB
  13. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/4. [Activity] Variation and Standard Deviation.mp4110.85MB
  14. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/5. Probability Density Function; Probability Mass Function.mp430.07MB
  15. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/6. Common Data Distributions.mp475.37MB
  16. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/7. [Activity] Percentiles and Moments.mp4114.04MB
  17. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/8. [Activity] A Crash Course in matplotlib.mp4129.35MB
  18. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/9. [Activity] Covariance and Correlation.mp4116.75MB
  19. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/10. [Exercise] Conditional Probability.mp4130.36MB
  20. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/11. Exercise Solution Conditional Probability of Purchase by Age.mp428.73MB
  21. Machine Learning, Data Science and Deep Learning with Python/2. Statistics and Probability Refresher, and Python Practise/12. Bayes' Theorem.mp458.9MB
  22. Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/1. [Activity] Linear Regression.mp4100.46MB
  23. Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/2. [Activity] Polynomial Regression.mp466.77MB
  24. Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/3. [Activity] Multivariate Regression, and Predicting Car Prices.mp4123.77MB
  25. Machine Learning, Data Science and Deep Learning with Python/3. Predictive Models/4. Multi-Level Models.mp447.46MB
  26. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/1. Supervised vs. Unsupervised Learning, and TrainTest.mp498.61MB
  27. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/2. [Activity] Using TrainTest to Prevent Overfitting a Polynomial Regression.mp458.14MB
  28. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/3. Bayesian Methods Concepts.mp440.72MB
  29. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/4. [Activity] Implementing a Spam Classifier with Naive Bayes.mp489.08MB
  30. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/5. K-Means Clustering.mp471.94MB
  31. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/6. [Activity] Clustering people based on income and age.mp457.29MB
  32. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/7. Measuring Entropy.mp434.97MB
  33. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/9. Decision Trees Concepts.mp486.53MB
  34. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/10. [Activity] Decision Trees Predicting Hiring Decisions.mp495.95MB
  35. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/11. Ensemble Learning.mp465.21MB
  36. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/12. Support Vector Machines (SVM) Overview.mp444.74MB
  37. Machine Learning, Data Science and Deep Learning with Python/4. Machine Learning with Python/13. [Activity] Using SVM to cluster people using scikit-learn.mp454.98MB
  38. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/1. User-Based Collaborative Filtering.mp486.38MB
  39. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/2. Item-Based Collaborative Filtering.mp475MB
  40. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/3. [Activity] Finding Movie Similarities.mp4107.83MB
  41. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/4. [Activity] Improving the Results of Movie Similarities.mp494.87MB
  42. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/5. [Activity] Making Movie Recommendations to People.mp4132.55MB
  43. Machine Learning, Data Science and Deep Learning with Python/5. Recommender Systems/6. [Exercise] Improve the recommender's results.mp484.23MB
  44. Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/1. K-Nearest-Neighbors Concepts.mp440.29MB
  45. 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.mp4142.06MB
  46. Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/3. Dimensionality Reduction; Principal Component Analysis.mp467.74MB
  47. Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/4. [Activity] PCA Example with the Iris data set.mp4109.73MB
  48. Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/5. Data Warehousing Overview ETL and ELT.mp4103.33MB
  49. Machine Learning, Data Science and Deep Learning with Python/6. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4132.27MB
  50. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/1. BiasVariance Tradeoff.mp466.31MB
  51. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/2. [Activity] K-Fold Cross-Validation to avoid overfitting.mp4102.34MB
  52. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/3. Data Cleaning and Normalization.mp478.75MB
  53. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/4. [Activity] Cleaning web log data.mp4129.38MB
  54. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/5. Normalizing numerical data.mp438.2MB
  55. Machine Learning, Data Science and Deep Learning with Python/7. Dealing with Real-World Data/6. [Activity] Detecting outliers.mp483.59MB
  56. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/2. [Activity] Installing Spark - Part 1.mp487.36MB
  57. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/3. [Activity] Installing Spark - Part 2.mp4172.29MB
  58. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/4. Spark Introduction.mp489.86MB
  59. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/5. Spark and the Resilient Distributed Dataset (RDD).mp498.51MB
  60. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/6. Introducing MLLib.mp454.74MB
  61. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/8. [Activity] K-Means Clustering in Spark.mp4133.83MB
  62. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/9. TF IDF.mp468.85MB
  63. Machine Learning, Data Science and Deep Learning with Python/8. Apache Spark Machine Learning on Big Data/10. [Activity] Searching Wikipedia with Spark.mp4111.51MB
  64. 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.mp4113.82MB
  65. Machine Learning, Data Science and Deep Learning with Python/9. Experimental Design/1. AB Testing Concepts.mp497.48MB
  66. Machine Learning, Data Science and Deep Learning with Python/9. Experimental Design/2. T-Tests and P-Values.mp464.91MB
  67. Machine Learning, Data Science and Deep Learning with Python/9. Experimental Design/3. [Activity] Hands-on With T-Tests.mp481.63MB
  68. Machine Learning, Data Science and Deep Learning with Python/9. Experimental Design/4. Determining How Long to Run an Experiment.mp434.84MB
  69. Machine Learning, Data Science and Deep Learning with Python/9. Experimental Design/5. AB Test Gotchas.mp496.1MB
  70. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/1. Deep Learning Pre-Requisites.mp467.87MB
  71. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/2. The History of Artificial Neural Networks.mp479.99MB
  72. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/3. [Activity] Deep Learning in the Tensorflow Playground.mp4141.59MB
  73. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/4. Deep Learning Details.mp464.21MB
  74. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/5. Introducing Tensorflow.mp496.39MB
  75. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/6. [Activity] Using Tensorflow, Part 1.mp4102.32MB
  76. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/7. [Activity] Using Tensorflow, Part 2.mp4133.62MB
  77. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/8. [Activity] Introducing Keras.mp4107.45MB
  78. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/9. [Activity] Using Keras to Predict Political Affiliations.mp4104.32MB
  79. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/10. Convolutional Neural Networks (CNN's).mp493.09MB
  80. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/11. [Activity] Using CNN's for handwriting recognition.mp480.79MB
  81. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/12. Recurrent Neural Networks (RNN's).mp469.17MB
  82. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/13. [Activity] Using a RNN for sentiment analysis.mp494.77MB
  83. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/14. The Ethics of Deep Learning.mp4128.24MB
  84. Machine Learning, Data Science and Deep Learning with Python/10. Deep Learning and Neural Networks/15. Learning More about Deep Learning.mp438.64MB
  85. Machine Learning, Data Science and Deep Learning with Python/11. Final Project/1. Your final project assignment.mp458.9MB
  86. Machine Learning, Data Science and Deep Learning with Python/11. Final Project/2. Final project review.mp498.5MB
  87. Machine Learning, Data Science and Deep Learning with Python/12. You made it!/1. More to Explore.mp464.06MB
  88. Machine Learning, Data Science and Deep Learning with Python/12. You made it!/3. Bonus Lecture Discounts on my Spark and MapReduce courses!.mp448.36MB
  89. Machine Learning, Data Science and Deep Learning with Python/DataScience-[Course Material]/DataScience-Python3/subset-small.tsv9.64MB
  90. Machine Learning, Data Science and Deep Learning with Python/DataScience-[Course Material]/DataScience-Python3/ml-100k/u.data1.98MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!

违规内容投诉邮箱:[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统