Introduction to Data Science | 4764633AFFFC10898C124A22A9E4250522FBEBAD

Introduction to Data Science

Name	Introduction to Data Science	DOWNLOAD Copy Link
Total Size	2.6 GB
Total Files	34
Hash	4764633AFFFC10898C124A22A9E4250522FBEBAD

/02 Modeling and Machine Learning/
005 Linear Regression background.mp4	166.7 MB
001 Mapping Business to Machine Learning Tasks.mp4	47.3 MB
002 Validating Models.mp4	118.1 MB
003 Naive Bayes background.mp4	81.5 MB
004 Naive Bayes practice.mp4	103.0 MB
006 Linear Regression practice.mp4	149.7 MB
007 Logistic Regression background.mp4	64.6 MB
008 Logistic Regression practice.mp4	123.0 MB
009 Decision Trees and Random Forest background.mp4	58.7 MB
010 Random Forest practice.mp4	80.3 MB
011 Generalized Additive Models.mp4	61.0 MB
012 Support Vector Machines.mp4	150.3 MB
013 Gradient Boosting.mp4	74.1 MB
014 Regularization for Linear and Logistic Regression.mp4	70.6 MB
015 Evaluating Models.mp4	148.2 MB
Examples.R	3.3 KB
salaryData.rds	12.5 KB
TestTrainExample.Rproj	0.3 KB
TestTrainSplit.Rmd	2.5 KB
/01 Course Overview/
002 Walk-through of a data science project.mp4	49.2 MB
003 Starting with R and data.mp4	98.0 MB
homedata_lesson1_clean.rds	1.4 KB
homedata_lesson1_dirty.rds	1.5 KB
Sec1_Lesson1_Walkthru.Rmd	1.6 KB
001 Course Introduction.mp4	29.1 MB
/03 Data/
001 Loading Data in R.mp4	90.8 MB
002 Visualizing Data.mp4	114.8 MB
003 Missing Values.mp4	104.5 MB
004 The Shape of Data.mp4	148.6 MB
005 Dealing with Categorical Variables.mp4	145.3 MB
006 Useful Data Transformations.mp4	115.2 MB
/04 Moving On/
001 Recommended Books.mp4	45.3 MB
002 Further Topics.mp4	114.2 MB
003 Next Steps.mp4	16.4 MB
Total files 34