Introduction to Data Science
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Torrent File Content (34 files)
Introduction to Data Science
02 Modeling and Machine Learning
005 Linear Regression background.mp4 -
02 Modeling and Machine Learning
005 Linear Regression background.mp4 -
159 MB
01 Course Overview
002 Walk-through of a data science project.mp4 -
002 Walk-through of a data science project.mp4 -
46.88 MB
003 Starting with R and data.mp4 -
93.44 MB
homedata_lesson1_clean.rds -
1.38 KB
homedata_lesson1_dirty.rds -
1.42 KB
Sec1_Lesson1_Walkthru.Rmd -
1.58 KB
02 Modeling and Machine Learning
001 Mapping Business to Machine Learning Tasks.mp4 -
001 Mapping Business to Machine Learning Tasks.mp4 -
45.09 MB
002 Validating Models.mp4 -
112.59 MB
003 Naive Bayes background.mp4 -
77.77 MB
004 Naive Bayes practice.mp4 -
98.19 MB
01 Course Overview
001 Course Introduction.mp4 -
001 Course Introduction.mp4 -
27.75 MB
02 Modeling and Machine Learning
006 Linear Regression practice.mp4 -
006 Linear Regression practice.mp4 -
142.75 MB
007 Logistic Regression background.mp4 -
61.62 MB
008 Logistic Regression practice.mp4 -
117.33 MB
009 Decision Trees and Random Forest background.mp4 -
55.96 MB
010 Random Forest practice.mp4 -
76.62 MB
011 Generalized Additive Models.mp4 -
58.18 MB
012 Support Vector Machines.mp4 -
143.36 MB
013 Gradient Boosting.mp4 -
70.71 MB
014 Regularization for Linear and Logistic Regression.mp4 -
67.29 MB
015 Evaluating Models.mp4 -
141.37 MB
Examples.R -
3.21 KB
salaryData.rds -
12.23 KB
TestTrainExample.Rproj -
257 bytes
TestTrainSplit.Rmd -
2.45 KB
03 Data
001 Loading Data in R.mp4 -
001 Loading Data in R.mp4 -
86.57 MB
002 Visualizing Data.mp4 -
109.44 MB
003 Missing Values.mp4 -
99.65 MB
004 The Shape of Data.mp4 -
141.71 MB
005 Dealing with Categorical Variables.mp4 -
138.54 MB
006 Useful Data Transformations.mp4 -
109.89 MB
04 Moving On
001 Recommended Books.mp4 -
001 Recommended Books.mp4 -
43.17 MB
002 Further Topics.mp4 -
108.92 MB
003 Next Steps.mp4 -
15.62 MB
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