LinearRegression Tensorflow - naveenanallamotu/Big-Data-Analytics-Lab-Assignments GitHub Wiki

TensorFlow: TensorFlow is an open source software library for machine learning across a range of tasks and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use

Deep learning: Deep learning (also known as deeply structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data.

linear Regression: In statistics, linear regression is an approach to modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) denoted X. The case of one explanatory variable is called simple linear regression Used the Matplotlib for the graph(include in the folder of output) car Speed and Stopping Distances of Cars Description The data give the speed of cars and the distances taken to stop. Note that the data were recorded in the 1920s. Usage cars Format A data frame with 50 observations on 2 variables. [,1] speed numeric Speed (mph) [,2] dist numeric Stopping distance (ft) Input given in the the CSV output 0.222588 -0.323204 Optimization Finished! Training cost= 126.302 W= 3.02641 b= -1.8822

Testing cost= 12630.2 Absolute square loss difference: 12503.9