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Frank Kane - Data Science and Machine Learning with Python
Seeders:
8
Leechers:
42
Completed:
85
File size:
2.51 GB
Date:
2020-08-02
Files
01 Getting Started001 Introduction.mp4
(43.99 MB)
01 Getting Started004 Python Basics Part 1.mp4
(43.97 MB)
01 Getting Started003 Activity Installing Enthought Canopy.mp4
(33.42 MB)
01 Getting Started005 Activity Python Basics Part 2.mp4
(28.46 MB)
01 Getting Started002 Getting What You Need.mp4
(25.22 MB)
01 Getting Started006 Running Python Scripts.mp4
(21.57 MB)
02 Statistics and Probability Refresher and Python Practise010 Exercise Conditional Probability.mp4
(52.81 MB)
02 Statistics and Probability Refresher and Python Practise009 Activity Covariance and Correlation.mp4
(49.78 MB)
02 Statistics and Probability Refresher and Python Practise008 Activity A Crash Course in matplotlib.mp4
(49.28 MB)
02 Statistics and Probability Refresher and Python Practise004 Activity Variation and Standard Deviation.mp4
(45.62 MB)
02 Statistics and Probability Refresher and Python Practise007 Activity Percentiles and Moments.mp4
(42.98 MB)
02 Statistics and Probability Refresher and Python Practise003 Activity Using mean median and mode in Python.mp4
(38.99 MB)
02 Statistics and Probability Refresher and Python Practise001 Types of Data.mp4
(34.11 MB)
02 Statistics and Probability Refresher and Python Practise012 Bayes Theorem.mp4
(30.13 MB)
02 Statistics and Probability Refresher and Python Practise002 Mean Median Mode.mp4
(28.17 MB)
02 Statistics and Probability Refresher and Python Practise006 Common Data Distributions.mp4
(27.67 MB)
02 Statistics and Probability Refresher and Python Practise011 Exercise Solution Conditional Probability of Purchase by Age.mp4
(14.09 MB)
02 Statistics and Probability Refresher and Python Practise005 Probability Density Function Probability Mass Function.mp4
(12.35 MB)
03 Predictive Models001 Activity Linear Regression.mp4
(41.08 MB)
03 Predictive Models003 Activity Multivariate Regression and Predicting Car Prices.mp4
(40.07 MB)
03 Predictive Models002 Activity Polynomial Regression.mp4
(29.78 MB)
03 Predictive Models004 Multi-Level Models.mp4
(23.66 MB)
04 Machine Learning with Python001 Supervised vs. Unsupervised Learning and TrainTest.mp4
(47.80 MB)
04 Machine Learning with Python008 Decision Trees Concepts.mp4
(39.72 MB)
04 Machine Learning with Python009 Activity Decision Trees Predicting Hiring Decisions.mp4
(38.23 MB)
04 Machine Learning with Python004 Activity Implementing a Spam Classifier with Naive Bayes.mp4
(36.48 MB)
04 Machine Learning with Python010 Ensemble Learning.mp4
(33.70 MB)
04 Machine Learning with Python005 K-Means Clustering.mp4
(30.30 MB)
04 Machine Learning with Python006 Activity Clustering people based on income and age.mp4
(23.98 MB)
04 Machine Learning with Python002 Activity Using TrainTest to Prevent Overfitting a Polynomial Regression.mp4
(22.02 MB)
04 Machine Learning with Python011 Support Vector Machines SVM Overview.mp4
(21.77 MB)
04 Machine Learning with Python012 Activity Using SVM to cluster people using scikit-learn.mp4
(20.84 MB)
04 Machine Learning with Python003 Bayesian Methods Concepts.mp4
(19.41 MB)
04 Machine Learning with Python007 Measuring Entropy.mp4
(17.48 MB)
05 Recommender Systems005 Activity Making Movie Recommendations to People.mp4
(63.25 MB)
05 Recommender Systems003 Activity Finding Movie Similarities.mp4
(48.48 MB)
05 Recommender Systems006 Exercise Improve the recommenders results.mp4
(45.85 MB)
05 Recommender Systems004 Activity Improving the Results of Movie Similarities.mp4
(43.98 MB)
05 Recommender Systems001 User-Based Collaborative Filtering.mp4
(36.81 MB)
05 Recommender Systems002 Item-Based Collaborative Filtering.mp4
(33.56 MB)
06 More Data Mining and Machine Learning Techniques006 Reinforcement Learning.mp4
(63.56 MB)
06 More Data Mining and Machine Learning Techniques002 Activity Using KNN to predict a rating for a movie.mp4
(59.21 MB)
06 More Data Mining and Machine Learning Techniques005 Data Warehousing Overview ETL and ELT.mp4
(54.11 MB)
06 More Data Mining and Machine Learning Techniques004 Activity PCA Example with the Iris data set.mp4
(53.31 MB)
06 More Data Mining and Machine Learning Techniques003 Dimensionality Reduction Principal Component Analysis.mp4
(35.67 MB)
06 More Data Mining and Machine Learning Techniques001 K-Nearest-Neighbors Concepts.mp4
(19.90 MB)
07 Dealing with Real-World Data004 Activity Cleaning web log data.mp4
(60.16 MB)
07 Dealing with Real-World Data002 Activity K-Fold Cross-Validation to avoid overfitting.mp4
(45.87 MB)
07 Dealing with Real-World Data006 Activity Detecting outliers.mp4
(39.04 MB)
07 Dealing with Real-World Data003 Data Cleaning and Normalization.mp4
(31.90 MB)
07 Dealing with Real-World Data001 BiasVariance Tradeoff.mp4
(31.23 MB)
07 Dealing with Real-World Data005 Normalizing numerical data.mp4
(19.02 MB)
08 Apache Spark Machine Learning on Big Data006 Activity Decision Trees in Spark.mp4
(88.24 MB)
08 Apache Spark Machine Learning on Big Data002 Activity Installing Spark - Part 2.mp4
(81.68 MB)
08 Apache Spark Machine Learning on Big Data007 Activity K-Means Clustering in Spark.mp4
(62.85 MB)
08 Apache Spark Machine Learning on Big Data009 Activity Searching Wikipedia with Spark.mp4
(59.76 MB)
08 Apache Spark Machine Learning on Big Data004 Spark and the Resilient Distributed Dataset RDD.mp4
(36.41 MB)
08 Apache Spark Machine Learning on Big Data003 Spark Introduction.mp4
(32.46 MB)
08 Apache Spark Machine Learning on Big Data008 TF IDF.mp4
(32.20 MB)
08 Apache Spark Machine Learning on Big Data005 Introducing MLLib.mp4
(26.27 MB)
09 Experimental Design005 AB Test Gotchas.mp4
(43.78 MB)
09 Experimental Design001 AB Testing Concepts.mp4
(42.69 MB)
09 Experimental Design003 Activity Hands-on With T-Tests.mp4
(40.06 MB)
09 Experimental Design002 T-Tests and P-Values.mp4
(30.11 MB)
09 Experimental Design004 Determining How Long to Run an Experiment.mp4
(16.68 MB)
10 You made it001 More to Explore.mp4
(45.14 MB)
10 You made it002 Bonus Lecture Discounts on Focused MapReduce and Spark Courses..mp4
(33.44 MB)
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