• Satish Kumar Gupta
• Dr. Yashpal Singh

These genetic algorithms are a kind of optimising algorithms that combine the most efficient survival of the genetic process with a simplified version. Whether machine learning is an issue for the application of GAs has not yet been shown. This is why the study investigates the application of GA in machine education. It conducted a comprehensive research on the effectiveness of GAs in maschine learning[4], but only compared. The article uses Chess as an example for using GA and offers new methods that may replace current approaches for applying GA to machine learning. The suggested approach has shown resilient, making learning rather than an algorithmic natural process. The article is based on the unpredictability of GAs and their capacity to converge the population with a fitness function to the target point and combines it with the feedback notion similar to that of neural networks.

Genetic Algorithm, Machine learning, Classifier, Supervised learning.

"A STUDY OF MACHINE LEARNING USING GENETIC ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.582-589, April-2019, Available :http://www.jetir.org/papers/JETIR1904T77.pdf

"A STUDY OF MACHINE LEARNING USING GENETIC ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp582-589, April-2019, Available at : http://www.jetir.org/papers/JETIR1904T77.pdf