• Himanshi Bansal
• Kapil Sharma

Machine Learning is a phenomenon that helps the processor or system to learn from past experiences, train, and practice, without being programmed directly. Rather than writing the whole code, what you do is feed data into the generic algorithm and the algorithm/machine generates the logic, centered on the data supplied. This study has been undertaken to find a brief introduction to the different types of learning you may experience in the machine learning area. Each type of learning provides many algorithms which are suitable for carrying out many processes. The major advantage of using machine learning is that if an algorithm knows what to do with input, it will automatically do its job and generate the outcomes.

Machine Learning, Clustering, Classification, Semi-supervised, Classifiers, Ensemble

"A Review Study On Various Algorithms Of Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1065-1070, April-2020, Available :http://www.jetir.org/papers/JETIR2004145.pdf

"A Review Study On Various Algorithms Of Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1065-1070, April-2020, Available at : http://www.jetir.org/papers/JETIR2004145.pdf