Machine Learning Model for Predicting Price of Processors using Multivariate Linear Regression

When smart phones started recognizing the humans' handwriting as well as voice then machine learning has gained a significant research attention from both academics and industries. With the inclusion of Machine Learning in the Arsenal of Data Science, it has revolutionized the research and business fields with its application in every single industry. This paper throws light on basic concepts of data science like dataset generation, exploratory data analysis, multivariate linear algorithm, gradient descent which can guide a novice data science explorer. Data set generation has always been an inquisitive part of any data science project. With massive availability of the high computing processors in the market, customers suffer from ‘Paradox of Choice’. This paper focuses on prediction of price of processor based on various attributes like clock speed, cores and cache memory. This paper harnesses the power of industry grade data visualization tools such as matplotlib, Seaborn.