Mining Data To Extract Visualize Insights in Python

Mining Data To Extract Visualize Insights in Python
Author(s):
Abhishek Shukla, Abhishek Kumar, Mohd Asad Abbas, Alka Singh, Manish Gupta
Keywords:
Prospectus, Machine learning, algorithms, classification, summarize , concept description, 1prediction/inference, assumption, evaluate, performance
Abstract
As we know, technology plays great role in our life with many conspectus. Machine learning is the most useful technology among all, which provides different type of algorithms, methods, and accurate classification of the dataset. we can broadly say this “a technology era”, because in this generation we produce a lot of information every second and all those information is not useful. That is why in this project we are going to learn how to load and how to extract useful information from our dataset and learn how to clean our dataset. This project helps to analyze, summarize, provide concept description and the predictions are based on data collected from daily uses. In this project, we are using different techniques such as classification analysis, k-nearest neighbor, PCA and Random Forest Algorithm for prediction/inference and assumption. After that we can evaluate and compare the same in order to find those which provide the best performance.
Article Details
Unique Paper ID: 151999 Publication Volume & Issue: Volume 8, Issue 2 Page(s): 129 - 133
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