Data Science & Machine Learning

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Building the Machine Learning Model

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👩🏻‍💻 Why should one study Linear Algebra for ML? 👉🏼 Clearly, to develop a better intuition for machine learning and deep learning algorithms and not treat them as black boxes. This would allow you to choose proper hyper-parameters and develop a better model. You would also be able to code algorithms from scratch and make your own variations to them as well. 👉🏼 Learn Linear Algebra for Machine Learning with: Khan Academy: https://www.khanacademy.org/math/linear-algebra Udacity: https://www.udacity.com/course/linear-algebra-refresher-course--ud953 Coursera: https://www.coursera.org/learn/linear-algebra-machine-learning Here are some amazing freely available ebooks on the same topic: Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf An Introduction to Statistical Learning: https://faculty.marshall.usc.edu/gareth-james/ISL/ Happy machine learning! 🎉

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©How fresher can get a job as a data scientist?© India as a job market is highly resistant to hire data scientist as a fresher. Everyone out there asks for at least 2 years of experience, but then the question is where will we get the two years experience from? The important thing here to build a portfolio. As you are a fresher I would assume you had learnt data science through online courses. They only teach you the basics, the analytical skills required to clean the data and apply machine learning algorithms to them comes only from practice. Do some real-world data science projects, participate in Kaggle competition. kaggle provides data sets for practice as well. Whatever projects you do, create a GitHub repository for it. Place all your projects there so when a recruiter is looking at your profile they know you have hands-on practice and do know the basics. This will take you a long way. All the major data science jobs for freshers will only be available through off-campus interviews. Some companies that hires data scientists are: Siemens Accenture IBM Cerner Creating a technical portfolio will showcase the knowledge you have already gained and that is essential while you got out there as a fresher and try to find a data scientist job.

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