• Apoorv Dwivedi
• Shivam Awasthi

Artificial intelligence was proposed to improve system performance when it was only a forward-looking concept. If machines can have the same learning ability, same as human beings and the computing power of computers increases gradually, this concept has been placed high hopes among society. Until about 2010, with the explosion of data set and the improvement of computer performance, ML has become a leader in breaking through the bottleneck of artificial intelligence. Research on machine learning in education and teaching, health, weather has attracted much attention. From this research status, we can see this in the current period of the successful development of machine learning, many applications are still not perfect and under development, ordinary education and health issue, weather evaluation is difficult to meet people’s requirements, so to gradually improve its efficiency and effectiveness is a significant goal with research significance and practical approach. In this context, according to the theory of machine learning, the effectiveness of different conventional prediction and evaluation methods is analyzed. In this paper, machine learning theory is used to study college students’ admission prediction and credit evaluation, medical as well as weather evaluation and comprehensive ability evaluation. The effectiveness of machine theory in teaching, health is analyzed. It is found that machine learning has great advantages in education, teaching evaluation, health issues and weather prediction. It builds models in complex computing environment and the effectiveness of prediction and evaluation is significant.

Machine Learning Algorithm Analysis

"MACHINE LEARNING ALGORITHM ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.i367-i372, May-2022, Available :http://www.jetir.org/papers/JETIR2205955.pdf

"MACHINE LEARNING ALGORITHM ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppi367-i372, May-2022, Available at : http://www.jetir.org/papers/JETIR2205955.pdf