Abstract
Machine Learning is a type AI (also known as Artificial Intelligence) that makes the pc or computer to act like individuals and learn more as they experience additional information from their client or user. So here in this report we got basic introduction about machine learning like actually what is it, what are its use, how it works, languages for coding, value of python for machine learning, and many more things. As python is majorly used for machine learning, so we discussed about its use and its libraries. Thereafter, we discussed about the categories in machine learning, i.e., supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning. After this discussion we got a glimpse of some basic pros and cons of machine learning in artificial intelligence. After that we discussed about basic implementation formats of the algorithm in machine learning. Then we discussed about some majorly used applications of machine learning which are trending nowadays and has a great demand in today’s market. At the end we came to know about the future scopes in machine learning and concluded it.
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