FreeTutorials Us data science and machine learning with python hands on


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Torrent File Content (73 files)


[FreeTutorials.Us] data-science-and-machine-learning-with-python-hands-on
    01 Getting Started
          001 Introduction.mp4 -
57.6 MB

          002 Activity Getting What You Need.mp4 -
32.6 MB

          003 Activity Installing Enthought Canopy.mp4 -
47.78 MB

          004 Python Basics Part 1.mp4 -
63.86 MB

          005 Activity Python Basics Part 2.mp4 -
42.48 MB

          006 Running Python Scripts.mp4 -
35.13 MB

    02 Statistics and Probability Refresher and Python Practise
          007 Types of Data.mp4 -
49.5 MB

          008 Mean Median Mode.mp4 -
44.61 MB

          009 Activity Using mean median and mode in Python.mp4 -
59.16 MB

          010 Activity Variation and Standard Deviation.mp4 -
67.08 MB

          011 Probability Density Function Probability Mass Function.mp4 -
18.52 MB

          012 Common Data Distributions.mp4 -
41.94 MB

          013 Activity Percentiles and Moments.mp4 -
63.03 MB

          014 Activity A Crash Course in matplotlib.mp4 -
71.83 MB

          015 Activity Covariance and Correlation.mp4 -
72.8 MB

          016 Exercise Conditional Probability.mp4 -
49.55 MB

          017 Exercise Solution Conditional Probability of Purchase by Age.mp4 -
22.72 MB

          018 Bayes Theorem.mp4 -
45.95 MB

    03 Predictive Models
          019 Activity Linear Regression.mp4 -
46 MB

          020 Activity Polynomial Regression.mp4 -
44.43 MB

          021 Activity Multivariate Regression and Predicting Car Prices.mp4 -
49.97 MB

          022 Multi-Level Models.mp4 -
34.9 MB

    04 Machine Learning with Python
          023 Supervised vs. Unsupervised Learning and TrainTest.mp4 -
69.24 MB

          024 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4 -
33.55 MB

          025 Bayesian Methods Concepts.mp4 -
28.54 MB

          026 Activity Implementing a Spam Classifier with Naive Bayes.mp4 -
56.26 MB

          027 K-Means Clustering.mp4 -
44.77 MB

          028 Activity Clustering people based on income and age.mp4 -
37.26 MB

          029 Measuring Entropy.mp4 -
28.43 MB

          030 Activity Install GraphViz.html -
1.84 KB

          031 Decision Trees Concepts.mp4 -
60.34 MB

          032 Activity Decision Trees Predicting Hiring Decisions.mp4 -
55.76 MB

          033 Ensemble Learning.mp4 -
52.68 MB

          034 Support Vector Machines SVM Overview.mp4 -
33.31 MB

          035 Activity Using SVM to cluster people using scikit-learn.mp4 -
30.95 MB

    05 Recommender Systems
          036 User-Based Collaborative Filtering.mp4 -
57.14 MB

          037 Item-Based Collaborative Filtering.mp4 -
51.04 MB

          038 Activity Finding Movie Similarities.mp4 -
74.45 MB

          039 Activity Improving the Results of Movie Similarities.mp4 -
69.69 MB

          040 Activity Making Movie Recommendations to People.mp4 -
99.85 MB

          041 Exercise Improve the recommenders results.mp4 -
75.32 MB

    06 More Data Mining and Machine Learning Techniques
          042 K-Nearest-Neighbors Concepts.mp4 -
31.92 MB

          043 Activity Using KNN to predict a rating for a movie.mp4 -
89.96 MB

          044 Dimensionality Reduction Principal Component Analysis.mp4 -
55.46 MB

          045 Activity PCA Example with the Iris data set.mp4 -
83.1 MB

          046 Data Warehousing Overview ETL and ELT.mp4 -
83.96 MB

          047 Reinforcement Learning.mp4 -
93.25 MB

    07 Dealing with Real-World Data
          048 BiasVariance Tradeoff.mp4 -
47.29 MB

          049 Activity K-Fold Cross-Validation to avoid overfitting.mp4 -
68.67 MB

          050 Data Cleaning and Normalization.mp4 -
48.28 MB



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