Machine learning is nothing but using data to make a machine to make intelligent decisions. It is based on recognizing and learning through patterns in data. Intelligent algorithms are then built by extracting, processing, defining, cleaning, arranging and then understanding the data.
Python offers all the skillsets that are required for machine learning or AI project – stability, flexibility and a large number of tools. Python helps developers to be productive and confident about the product that they are manufacturing, from the stages of development to deployment and till the maintenance stage. These add to the popularity of the Python language.
Machine learning has made a massive effect on the current world we are living in, with new applications emerging all the time. Developers are choosing Python at every step of problem-solving. While there are programming languages other than python that be used for AI projects, but python is cutting edges of all, with significant considerations. According to the people who practice python, they believe – python is a language that is well suited for machine learning and AI.
This Machine Learning with Python course dives into the basics of Machine Learning using Python, an approachable and well-known programming language.
Explore many algorithms and models:
• Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
• Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.
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