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[FreeTutorials.Us] data-science-and-machine-learning-with-python-hands-on

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视频 2018-8-28 05:24 2024-5-15 03:06 95 3.83 GB 69
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FreeTutorials Us data-science-and-machine-learning-with-python-hands-on

文件列表
  1. 01 Getting Started/001 Introduction.mp457.6MB
  2. 01 Getting Started/002 Activity Getting What You Need.mp432.6MB
  3. 01 Getting Started/003 Activity Installing Enthought Canopy.mp447.78MB
  4. 01 Getting Started/004 Python Basics Part 1.mp463.86MB
  5. 01 Getting Started/005 Activity Python Basics Part 2.mp442.48MB
  6. 01 Getting Started/006 Running Python Scripts.mp435.13MB
  7. 02 Statistics and Probability Refresher and Python Practise/007 Types of Data.mp449.5MB
  8. 02 Statistics and Probability Refresher and Python Practise/008 Mean Median Mode.mp444.61MB
  9. 02 Statistics and Probability Refresher and Python Practise/009 Activity Using mean median and mode in Python.mp459.16MB
  10. 02 Statistics and Probability Refresher and Python Practise/010 Activity Variation and Standard Deviation.mp467.08MB
  11. 02 Statistics and Probability Refresher and Python Practise/011 Probability Density Function Probability Mass Function.mp418.52MB
  12. 02 Statistics and Probability Refresher and Python Practise/012 Common Data Distributions.mp441.94MB
  13. 02 Statistics and Probability Refresher and Python Practise/013 Activity Percentiles and Moments.mp463.03MB
  14. 02 Statistics and Probability Refresher and Python Practise/014 Activity A Crash Course in matplotlib.mp471.83MB
  15. 02 Statistics and Probability Refresher and Python Practise/015 Activity Covariance and Correlation.mp472.8MB
  16. 02 Statistics and Probability Refresher and Python Practise/016 Exercise Conditional Probability.mp449.55MB
  17. 02 Statistics and Probability Refresher and Python Practise/017 Exercise Solution Conditional Probability of Purchase by Age.mp422.72MB
  18. 02 Statistics and Probability Refresher and Python Practise/018 Bayes Theorem.mp445.95MB
  19. 03 Predictive Models/019 Activity Linear Regression.mp446MB
  20. 03 Predictive Models/020 Activity Polynomial Regression.mp444.43MB
  21. 03 Predictive Models/021 Activity Multivariate Regression and Predicting Car Prices.mp449.97MB
  22. 03 Predictive Models/022 Multi-Level Models.mp434.9MB
  23. 04 Machine Learning with Python/023 Supervised vs. Unsupervised Learning and TrainTest.mp469.24MB
  24. 04 Machine Learning with Python/024 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp433.55MB
  25. 04 Machine Learning with Python/025 Bayesian Methods Concepts.mp428.54MB
  26. 04 Machine Learning with Python/026 Activity Implementing a Spam Classifier with Naive Bayes.mp456.26MB
  27. 04 Machine Learning with Python/027 K-Means Clustering.mp444.77MB
  28. 04 Machine Learning with Python/028 Activity Clustering people based on income and age.mp437.26MB
  29. 04 Machine Learning with Python/029 Measuring Entropy.mp428.43MB
  30. 04 Machine Learning with Python/031 Decision Trees Concepts.mp460.34MB
  31. 04 Machine Learning with Python/032 Activity Decision Trees Predicting Hiring Decisions.mp455.76MB
  32. 04 Machine Learning with Python/033 Ensemble Learning.mp452.68MB
  33. 04 Machine Learning with Python/034 Support Vector Machines SVM Overview.mp433.31MB
  34. 04 Machine Learning with Python/035 Activity Using SVM to cluster people using scikit-learn.mp430.95MB
  35. 05 Recommender Systems/036 User-Based Collaborative Filtering.mp457.14MB
  36. 05 Recommender Systems/037 Item-Based Collaborative Filtering.mp451.04MB
  37. 05 Recommender Systems/038 Activity Finding Movie Similarities.mp474.45MB
  38. 05 Recommender Systems/039 Activity Improving the Results of Movie Similarities.mp469.69MB
  39. 05 Recommender Systems/040 Activity Making Movie Recommendations to People.mp499.85MB
  40. 05 Recommender Systems/041 Exercise Improve the recommenders results.mp475.32MB
  41. 06 More Data Mining and Machine Learning Techniques/042 K-Nearest-Neighbors Concepts.mp431.92MB
  42. 06 More Data Mining and Machine Learning Techniques/043 Activity Using KNN to predict a rating for a movie.mp489.96MB
  43. 06 More Data Mining and Machine Learning Techniques/044 Dimensionality Reduction Principal Component Analysis.mp455.46MB
  44. 06 More Data Mining and Machine Learning Techniques/045 Activity PCA Example with the Iris data set.mp483.1MB
  45. 06 More Data Mining and Machine Learning Techniques/046 Data Warehousing Overview ETL and ELT.mp483.96MB
  46. 06 More Data Mining and Machine Learning Techniques/047 Reinforcement Learning.mp493.25MB
  47. 07 Dealing with Real-World Data/048 BiasVariance Tradeoff.mp447.29MB
  48. 07 Dealing with Real-World Data/049 Activity K-Fold Cross-Validation to avoid overfitting.mp468.67MB
  49. 07 Dealing with Real-World Data/050 Data Cleaning and Normalization.mp448.28MB
  50. 07 Dealing with Real-World Data/051 Activity Cleaning web log data.mp493.55MB
  51. 07 Dealing with Real-World Data/052 Normalizing numerical data.mp429.66MB
  52. 07 Dealing with Real-World Data/053 Activity Detecting outliers.mp461.29MB
  53. 08 Apache Spark Machine Learning on Big Data/054 Activity Installing Spark - Part 1.mp472.7MB
  54. 08 Apache Spark Machine Learning on Big Data/055 Activity Installing Spark - Part 2.mp4134.15MB
  55. 08 Apache Spark Machine Learning on Big Data/056 Spark Introduction.mp448.22MB
  56. 08 Apache Spark Machine Learning on Big Data/057 Spark and the Resilient Distributed Dataset RDD.mp454.67MB
  57. 08 Apache Spark Machine Learning on Big Data/058 Introducing MLLib.mp443.6MB
  58. 08 Apache Spark Machine Learning on Big Data/059 Activity Decision Trees in Spark.mp4132.09MB
  59. 08 Apache Spark Machine Learning on Big Data/060 Activity K-Means Clustering in Spark.mp493.8MB
  60. 08 Apache Spark Machine Learning on Big Data/061 TF IDF.mp449.27MB
  61. 08 Apache Spark Machine Learning on Big Data/062 Activity Searching Wikipedia with Spark.mp498.61MB
  62. 08 Apache Spark Machine Learning on Big Data/063 Activity Using the Spark 2.0 DataFrame API for MLLib.mp443.69MB
  63. 09 Experimental Design/064 AB Testing Concepts.mp465.34MB
  64. 09 Experimental Design/065 T-Tests and P-Values.mp447.03MB
  65. 09 Experimental Design/066 Activity Hands-on With T-Tests.mp464.68MB
  66. 09 Experimental Design/067 Determining How Long to Run an Experiment.mp427.36MB
  67. 09 Experimental Design/068 AB Test Gotchas.mp466.5MB
  68. 10 You made it/069 More to Explore.mp460.96MB
  69. 10 You made it/071 Bonus Lecture Discounts on my Spark and MapReduce courses.mp410.12MB
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