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[FreeTutorials.Us] data-science-and-machine-learning-with-python-hands-on
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2018-8-28 05:24
2024-9-7 07:35
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data-science-and-machine-learning-with-python-hands-on
文件列表
01 Getting Started/001 Introduction.mp4
57.6MB
01 Getting Started/002 Activity Getting What You Need.mp4
32.6MB
01 Getting Started/003 Activity Installing Enthought Canopy.mp4
47.78MB
01 Getting Started/004 Python Basics Part 1.mp4
63.86MB
01 Getting Started/005 Activity Python Basics Part 2.mp4
42.48MB
01 Getting Started/006 Running Python Scripts.mp4
35.13MB
02 Statistics and Probability Refresher and Python Practise/007 Types of Data.mp4
49.5MB
02 Statistics and Probability Refresher and Python Practise/008 Mean Median Mode.mp4
44.61MB
02 Statistics and Probability Refresher and Python Practise/009 Activity Using mean median and mode in Python.mp4
59.16MB
02 Statistics and Probability Refresher and Python Practise/010 Activity Variation and Standard Deviation.mp4
67.08MB
02 Statistics and Probability Refresher and Python Practise/011 Probability Density Function Probability Mass Function.mp4
18.52MB
02 Statistics and Probability Refresher and Python Practise/012 Common Data Distributions.mp4
41.94MB
02 Statistics and Probability Refresher and Python Practise/013 Activity Percentiles and Moments.mp4
63.03MB
02 Statistics and Probability Refresher and Python Practise/014 Activity A Crash Course in matplotlib.mp4
71.83MB
02 Statistics and Probability Refresher and Python Practise/015 Activity Covariance and Correlation.mp4
72.8MB
02 Statistics and Probability Refresher and Python Practise/016 Exercise Conditional Probability.mp4
49.55MB
02 Statistics and Probability Refresher and Python Practise/017 Exercise Solution Conditional Probability of Purchase by Age.mp4
22.72MB
02 Statistics and Probability Refresher and Python Practise/018 Bayes Theorem.mp4
45.95MB
03 Predictive Models/019 Activity Linear Regression.mp4
46MB
03 Predictive Models/020 Activity Polynomial Regression.mp4
44.43MB
03 Predictive Models/021 Activity Multivariate Regression and Predicting Car Prices.mp4
49.97MB
03 Predictive Models/022 Multi-Level Models.mp4
34.9MB
04 Machine Learning with Python/023 Supervised vs. Unsupervised Learning and TrainTest.mp4
69.24MB
04 Machine Learning with Python/024 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
33.55MB
04 Machine Learning with Python/025 Bayesian Methods Concepts.mp4
28.54MB
04 Machine Learning with Python/026 Activity Implementing a Spam Classifier with Naive Bayes.mp4
56.26MB
04 Machine Learning with Python/027 K-Means Clustering.mp4
44.77MB
04 Machine Learning with Python/028 Activity Clustering people based on income and age.mp4
37.26MB
04 Machine Learning with Python/029 Measuring Entropy.mp4
28.43MB
04 Machine Learning with Python/031 Decision Trees Concepts.mp4
60.34MB
04 Machine Learning with Python/032 Activity Decision Trees Predicting Hiring Decisions.mp4
55.76MB
04 Machine Learning with Python/033 Ensemble Learning.mp4
52.68MB
04 Machine Learning with Python/034 Support Vector Machines SVM Overview.mp4
33.31MB
04 Machine Learning with Python/035 Activity Using SVM to cluster people using scikit-learn.mp4
30.95MB
05 Recommender Systems/036 User-Based Collaborative Filtering.mp4
57.14MB
05 Recommender Systems/037 Item-Based Collaborative Filtering.mp4
51.04MB
05 Recommender Systems/038 Activity Finding Movie Similarities.mp4
74.45MB
05 Recommender Systems/039 Activity Improving the Results of Movie Similarities.mp4
69.69MB
05 Recommender Systems/040 Activity Making Movie Recommendations to People.mp4
99.85MB
05 Recommender Systems/041 Exercise Improve the recommenders results.mp4
75.32MB
06 More Data Mining and Machine Learning Techniques/042 K-Nearest-Neighbors Concepts.mp4
31.92MB
06 More Data Mining and Machine Learning Techniques/043 Activity Using KNN to predict a rating for a movie.mp4
89.96MB
06 More Data Mining and Machine Learning Techniques/044 Dimensionality Reduction Principal Component Analysis.mp4
55.46MB
06 More Data Mining and Machine Learning Techniques/045 Activity PCA Example with the Iris data set.mp4
83.1MB
06 More Data Mining and Machine Learning Techniques/046 Data Warehousing Overview ETL and ELT.mp4
83.96MB
06 More Data Mining and Machine Learning Techniques/047 Reinforcement Learning.mp4
93.25MB
07 Dealing with Real-World Data/048 BiasVariance Tradeoff.mp4
47.29MB
07 Dealing with Real-World Data/049 Activity K-Fold Cross-Validation to avoid overfitting.mp4
68.67MB
07 Dealing with Real-World Data/050 Data Cleaning and Normalization.mp4
48.28MB
07 Dealing with Real-World Data/051 Activity Cleaning web log data.mp4
93.55MB
07 Dealing with Real-World Data/052 Normalizing numerical data.mp4
29.66MB
07 Dealing with Real-World Data/053 Activity Detecting outliers.mp4
61.29MB
08 Apache Spark Machine Learning on Big Data/054 Activity Installing Spark - Part 1.mp4
72.7MB
08 Apache Spark Machine Learning on Big Data/055 Activity Installing Spark - Part 2.mp4
134.15MB
08 Apache Spark Machine Learning on Big Data/056 Spark Introduction.mp4
48.22MB
08 Apache Spark Machine Learning on Big Data/057 Spark and the Resilient Distributed Dataset RDD.mp4
54.67MB
08 Apache Spark Machine Learning on Big Data/058 Introducing MLLib.mp4
43.6MB
08 Apache Spark Machine Learning on Big Data/059 Activity Decision Trees in Spark.mp4
132.09MB
08 Apache Spark Machine Learning on Big Data/060 Activity K-Means Clustering in Spark.mp4
93.8MB
08 Apache Spark Machine Learning on Big Data/061 TF IDF.mp4
49.27MB
08 Apache Spark Machine Learning on Big Data/062 Activity Searching Wikipedia with Spark.mp4
98.61MB
08 Apache Spark Machine Learning on Big Data/063 Activity Using the Spark 2.0 DataFrame API for MLLib.mp4
43.69MB
09 Experimental Design/064 AB Testing Concepts.mp4
65.34MB
09 Experimental Design/065 T-Tests and P-Values.mp4
47.03MB
09 Experimental Design/066 Activity Hands-on With T-Tests.mp4
64.68MB
09 Experimental Design/067 Determining How Long to Run an Experiment.mp4
27.36MB
09 Experimental Design/068 AB Test Gotchas.mp4
66.5MB
10 You made it/069 More to Explore.mp4
60.96MB
10 You made it/071 Bonus Lecture Discounts on my Spark and MapReduce courses.mp4
10.12MB
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