studentsuvidha
Introduction to Data Science IPU ME notes and question paper free download - Printable Version

+- studentsuvidha (https://studentsuvidha.com/forum)
+-- Forum: Student Stuffs (https://studentsuvidha.com/forum/Forum-Student-Stuffs)
+--- Forum: Indraprastha University IPU notes and papers (https://studentsuvidha.com/forum/Forum-Indraprastha-University-IPU-notes-and-papers)
+---- Forum: IPU B.tech/ B.E. papers and Notes -free downloads (https://studentsuvidha.com/forum/Forum-IPU-B-tech-B-E-papers-and-Notes-free-downloads)
+----- Forum: IPU B.tech/ B.E. Mechanical papers and Notes -free downloads (https://studentsuvidha.com/forum/Forum-IPU-B-tech-B-E-Mechanical-papers-and-Notes-free-downloads)
+------ Forum: 7th semester IPU B.tech Mechanical papers and Notes -free downloads (https://studentsuvidha.com/forum/Forum-7th-semester-IPU-B-tech-Mechanical-papers-and-Notes-free-downloads)
+------ Thread: Introduction to Data Science IPU ME notes and question paper free download (/Thread-Introduction-to-Data-Science-IPU-ME-notes-and-question-paper-free-download)



Introduction to Data Science IPU ME notes and question paper free download - Dipesh S - 04-29-2017

SYLLABUS:-

UNIT- I                           
Overview of R or Octave statistical package, Data Pre-processing, Data Scales, Similarity and Dissimilarity measures, sampling and quantization of data, filtering, Data transformation and merging, Data visualization, PCA, Correlation, Chi-Square test. Illustration of These techniques through R, or Octave.

UNIT- II  
Regression Analysis, linear, generalized, regularized regression, Cross-validation, Training and Testing data set, Overview of nonlinear regression, Overview of Ridge regression, Latent variables, Structure Equation modelling. Illustration of These techniques through R, or Octave. 

UNIT- III  
Forecasting, time series data analysis, Stationarity, Seasonality, recurrent models, autoregressive models. Illustration of These techniques through R, or Octave. 

UNIT- IV  
Classification, Linear discriminant analysis, overview of support vector machine, Decision trees, Clustering, Clustering techniques. Illustration of These techniques through R, or Octave