Frank Kane - Data Science and Machine Learning with Python

磁力链接/BT种子名称

Frank Kane - Data Science and Machine Learning with Python

磁力链接/BT种子简介

种子哈希：902047ce076db105eb3629622c6bb88ddc5df5fc
文件大小： 2.51G
已经下载：630次
下载速度：极快
收录时间：2017-08-15
最近下载：2025-08-29

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文件列表

  • 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
  • 03 Predictive Models/003 Activity Multivariate Regression, and Predicting Car Prices.mp4 42.0 MB
  • 03 Predictive Models/004 Multi-Level Models.mp4 24.8 MB
  • 04 Machine Learning with Python/001 Supervised vs. Unsupervised Learning, and TrainTest.mp4 50.1 MB
  • 04 Machine Learning with Python/002 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 23.1 MB
  • 04 Machine Learning with Python/003 Bayesian Methods Concepts.mp4 20.4 MB
  • 04 Machine Learning with Python/004 Activity Implementing a Spam Classifier with Naive Bayes.mp4 38.3 MB
  • 04 Machine Learning with Python/005 K-Means Clustering.mp4 31.8 MB
  • 04 Machine Learning with Python/006 Activity Clustering people based on income and age.mp4 25.1 MB
  • 04 Machine Learning with Python/007 Measuring Entropy.mp4 18.3 MB
  • 04 Machine Learning with Python/008 Decision Trees Concepts.mp4 41.6 MB
  • 04 Machine Learning with Python/009 Activity Decision Trees Predicting Hiring Decisions.mp4 40.1 MB
  • 04 Machine Learning with Python/010 Ensemble Learning.mp4 35.3 MB
  • 04 Machine Learning with Python/011 Support Vector Machines SVM Overview.mp4 22.8 MB
  • 04 Machine Learning with Python/012 Activity Using SVM to cluster people using scikit-learn.mp4 21.9 MB
  • 05 Recommender Systems/001 User-Based Collaborative Filtering.mp4 38.6 MB
  • 05 Recommender Systems/002 Item-Based Collaborative Filtering.mp4 35.2 MB
  • 05 Recommender Systems/003 Activity Finding Movie Similarities.mp4 50.8 MB
  • 05 Recommender Systems/004 Activity Improving the Results of Movie Similarities.mp4 46.1 MB
  • 05 Recommender Systems/005 Activity Making Movie Recommendations to People.mp4 66.3 MB
  • 05 Recommender Systems/006 Exercise Improve the recommenders results.mp4 48.1 MB
  • 06 More Data Mining and Machine Learning Techniques/001 K-Nearest-Neighbors Concepts.mp4 20.9 MB
  • 06 More Data Mining and Machine Learning Techniques/002 Activity Using KNN to predict a rating for a movie.mp4 62.1 MB
  • 06 More Data Mining and Machine Learning Techniques/003 Dimensionality Reduction Principal Component Analysis.mp4 37.4 MB
  • 06 More Data Mining and Machine Learning Techniques/004 Activity PCA Example with the Iris data set.mp4 55.9 MB
  • 06 More Data Mining and Machine Learning Techniques/005 Data Warehousing Overview ETL and ELT.mp4 56.7 MB
  • 06 More Data Mining and Machine Learning Techniques/006 Reinforcement Learning.mp4 66.6 MB
  • 07 Dealing with Real-World Data/001 BiasVariance Tradeoff.mp4 32.7 MB
  • 07 Dealing with Real-World Data/002 Activity K-Fold Cross-Validation to avoid overfitting.mp4 48.1 MB
  • 07 Dealing with Real-World Data/003 Data Cleaning and Normalization.mp4 33.5 MB
  • 07 Dealing with Real-World Data/004 Activity Cleaning web log data.mp4 63.1 MB
  • 07 Dealing with Real-World Data/005 Normalizing numerical data.mp4 19.9 MB
  • 07 Dealing with Real-World Data/006 Activity Detecting outliers.mp4 40.9 MB
  • 08 Apache Spark Machine Learning on Big Data/002 Activity Installing Spark - Part 2.mp4 85.6 MB
  • 08 Apache Spark Machine Learning on Big Data/003 Spark Introduction.mp4 34.0 MB
  • 08 Apache Spark Machine Learning on Big Data/004 Spark and the Resilient Distributed Dataset RDD.mp4 38.2 MB
  • 08 Apache Spark Machine Learning on Big Data/005 Introducing MLLib.mp4 27.5 MB
  • 08 Apache Spark Machine Learning on Big Data/006 Activity Decision Trees in Spark.mp4 92.5 MB
  • 08 Apache Spark Machine Learning on Big Data/007 Activity K-Means Clustering in Spark.mp4 65.9 MB
  • 08 Apache Spark Machine Learning on Big Data/008 TF IDF.mp4 33.8 MB
  • 08 Apache Spark Machine Learning on Big Data/009 Activity Searching Wikipedia with Spark.mp4 62.7 MB
  • 09 Experimental Design/001 AB Testing Concepts.mp4 44.8 MB
  • 09 Experimental Design/002 T-Tests and P-Values.mp4 31.6 MB
  • 09 Experimental Design/003 Activity Hands-on With T-Tests.mp4 42.0 MB
  • 09 Experimental Design/004 Determining How Long to Run an Experiment.mp4 17.5 MB
  • 09 Experimental Design/005 AB Test Gotchas.mp4 45.9 MB
  • 10 You made it/001 More to Explore.mp4 47.3 MB
  • 10 You made it/002 Bonus Lecture Discounts on Focused MapReduce and Spark Courses..mp4 35.1 MB

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