Scikit-Learn Implements Machine Learning Algorithms for Lung Cancer Analysis
Lung cancer, Jupyter notebook, Scikit-Learn, Python, Supervised ML Algorithms
Lung cancer is one of the foremost common and high forms of cancer. The 2 main varieties are small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). These varieties are diagnosed supported however the cells look underneath a microscope. Over 80th of all lung cancers belong to the non-small cell kind. It's the second commonest cancer in men and also the fifth most typical cancer in each men and women along. ML algorithms are people who will learn from information and improve from expertise, while not human intervention. Victimization Python and its open source libraries make it attainable for nearly anyone to use this approach. In this paper using some Supervised ML classification algorithms to create models to check the results and verify the lot of correct algorithmic program.
"Scikit-Learn Implements Machine Learning Algorithms for Lung Cancer Analysis ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.151 - 155, March-2019, Available :https://ijsdr.org/papers/IJSDR1903027.pdf
Volume 4
Issue 3,
March-2019
Pages : 151 - 155
Paper Reg. ID: IJSDR_190200
Published Paper Id: IJSDR1903027
Downloads: 000347149
Research Area: Biological Science
Country: Sivakasi, Tamilnadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
