Get yourself trained on Introduction to Python with this Online Training Introduction to Python and Machine Learning.
Online Training Introduction to Python and Machine Learning
Master the basics of Pythons and Machine Learning from scratch. If you are looking for good start in Machine Learning this is the course for you to start with. This course is design in such a way which need only minimum or no programming experience from participants.This course will walk you towards every step of Python and Machine learning starting from the history, setup and exercises in Python and Machine learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This course focuses more on practical aspect rather than theoretical aspect of programming.In this course you will cover the following topics in much greater details.:Introduction to PythonPython Data TypesControl FlowFunction, Modules and PackagesI/O errors and ExceptionsClassesStandard LibrariesNumpyMetplotlibPandasMachine LearningIntroduction to Machine LearningIntroduction to ScikitInstalling Scikit – learnIntroduction and Installing Jupyter NotebookTechniques Of Machine LearningSupervised Machine LearningUnsupervised Machine LearningTypes of Machine Learning AlgorithmsClassificationsand many more.Who is the target audience?Anyone interested in Machine Learning.Students who have at least high school knowledge in math and who want to start learning Machine Learning.Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.Any students in college who want to start a career in Data Science.Any data analysts who want to level up in Machine Learning.Any people who are not satisfied with their job and who want to become a Data Scientist.Any people who want to create added value to their business by using powerful Machine Learning tools.
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Investing in yourself through Learning
As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.