Name: Notes for Data Analytics - DA by Prasanta Bal
Rating: 4.1 (73 reviews)
Author: Prasanta

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

Supervised Learning

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

Subset

Descriptive Analytics

Data Collection

Unsupervised Learning

Linear Regression

Logistic Regression

Linear Discriminant Analysis

Cross Validation

I Need MBA 3rd sem all subjects notes please

need notes on data collection and management in data science

Prasanta

Notes for Data Analytics - DA by Prasanta Bal

Notes for Data Analytics - DA by Prasanta Bal

of Gandhi Institute for Technology (GIFT)