Exploratory Data Analysis (EDA) Project
Exploratory Data Analysis (EDA) refers to the critical process of performing initial investigations on data so as to discover patterns, to spot anomalies, to test hypotheses and to check assumptions with the help of summary statistics and graphical representations.
The data is visualized mainly by using the toolbox of EDA. Preliminary understanding of the data before proceeding to other operations such as further machine learning.
The analysis and prediction of used car prices and its impact factors such as color, odometer reading, state of sale, manufacturer, cylinder configuration and type of drive.
Machine Learning Project
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
The data is visualized mainly by using the toolbox of EDA. Preliminary understanding of the data before proceeding to other operations such as further machine learning.
The analysis and prediction of used car prices and its impact factors such as color, odometer reading, state of sale, manufacturer, cylinder configuration and type of drive.