Name: Notes for Data Analytics - DA by Prasanta Bal
Rating: 4.1 (71 reviews)
Author: Prasanta Bal

Big data, Characteristics of Big data, Analytics, Problem Identification, Hypothesis formulation, Data Collection, Data Exploration, Data Preparation, Model Building, Validate Model

Big Data Analytics

Overview of supervised learning,Linear regression models and least squares, Multiple regression, Multiple outputs

Overview Of Supervised Learning

Subset selection , Ridge regression, Lasso regression , Linear Discriminant Analysis , Logistic regression , Perceptron learning algorithm

Subset Selection

Bias,Variance,and model complexity,Bias-variance trade off, Optimisim of the training error rate ,Esimate of In-sample prediction error,Effective number of parameters, Bayesian approach and BIC, Cross- validation ,Boot strap methods, conditional or expected test error.

Model Assesment And Selection

Generalized additive models, Regression and classification trees

Additive Modelstreesand Boosting

I Need MBA 3rd sem all subjects notes please

need notes on data collection and management in data science

I want some notes on chisquare test,ztest and t test is there any source of material

can i get contact numbers and ref books notes

Asst. Professor, Gandhi Institute for Technological Advancement(GITA)

Prasanta Bal

B.Tech

Notes for Data Analytics - DA by Prasanta Bal

Notes for Data Analytics - DA by Prasanta Bal

BPUT ·

DA