Data Science & Machine Learning

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✨ Applied ML resources✨ Gdrive Link : https://drive.google.com/drive/mobile/folders/1Z033voxMI4rTyhGMUi3yNwmJuscW71lW Share and support us : https://t.me/datasciencefun

Looking for Data Scientists to work as Teaching Associates(10 positions)1-6 years exp . Benglore based Please share cvs on Renu@marketscope.in 9-13L CTC

Company: Aptiv Job Role: Machine Learning Engineer Experience: 5-10 years Job Location: Bengaluru, Karnataka Apply Here: https://www.aptiv.com/careers/posting/machine-learning-engineer-j000595908

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Learn on Towards Data Science https://towardsdatascience.com/learn-on-towards-data-science-52245bc91451

Data science use cases in finance https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html

Coding and Aptitude Round before interview Coding challenges are meant to test your coding skills (especially if you are applying for ML engineer role). The coding challenges can contain algorithm and data structures problems of varying difficulty. These challenges will be timed based on how complicated the questions are. These are intended to test your basic algorithmic thinking. Sometimes, a complicated data science question like making predictions based on twitter data are also given. These challenges are hosted on HackerRank, HackerEarth, CoderByte etc. In addition, you may even be asked multiple-choice questions on the fundamentals of data science and statistics. This round is meant to be a filtering round where candidates whose fundamentals are little shaky are eliminated. These rounds are typically conducted without any manual intervention, so it is important to be well prepared for this round. Sometimes a separate Aptitude test is conducted or along with the technical round an aptitude test is also conducted to assess your aptitude skills. A Data Scientist is expected to have a good aptitude as this field is continuously evolving and a Data Scientist encounters new challenges every day. If you have appeared for GMAT / GRE or CAT, this should be easy for you. Resources for Prep: For algorithms and data structures prep,Leetcode and Hackerrank are good resources. For aptitude prep, you can refer to IndiaBixand Practice Aptitude. With respect to data science challenges, practice well on GLabs and Kaggle. Brilliant is an excellent resource for tricky math and statistics questions. For practising SQL, SQL Zoo and Mode Analytics are good resources that allow you to solve the exercises in the browser itself. Things to Note: Ensure that you are calm and relaxed before you attempt to answer the challenge. Read through all the questions before you start attempting the same. Let your mind go into problem-solving mode before your fingers do! In case, you are finished with the test before time, recheck your answers and then submit. Sometimes these rounds don’t go your way, you might have had a brain fade, it was not your day etc. Don’t worry! Shake if off for there is always a next time and this is not the end of the world.

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✨ Applied AI complete course✨ Part 1 https://drive.google.com/file/d/1UWD0hAlBkdSTUJhIT25CEbRkcidzobod/view Part 2 https://drive.google.com/file/d/1KGUhm-P09SxQHvEP2Z_0v15GoOIuM2Om/view Part 3 https://drive.google.com/file/d/1GYsHWfFqEVMgL0Aw1gq1AHkb7vhiYqE2/view?usp=sharing Part 4 https://drive.google.com/file/d/1dfzDeowBLLhlndTOQlI6oSDf6BURC1Xa/view Part 5 https://drive.google.com/file/d/1JIrfB1VJksBOxELxucGYJQlFe0ybuMFd/view Part 6 https://drive.google.com/file/d/1vTzlSCrux71UExHk8wIhg6Llc7w5etTr/view Share and support https://t.me/datasciencefun

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