Data Science & Machine Learning – Telegram
Data Science & Machine Learning
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Data Science Interview Questions
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https://news.1rj.ru/str/DataScienceInterviews/8
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Forwarded from Startup & Business Ideas
STRONG PERSONALITIES HAVE THEIR PRINCIPLES

I am telling you a must have trait if you want to build your personality.
You must live with your STRONG PRINCIPLES!

If you decided to not to smoke or drink, NEVER DO IT whatever the condition is.

THIS IS YOUR PRINCIPLE.

If
you decided not to eat non-veg, then never do it.

YOU CAN HAVE YOUR OWN STRONG PRINCIPLES IN LIFE!

The thing that matter is to follow them no matter what the condition is!!!
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What are predictive algorithms in the context of the stock market?

https://news.1rj.ru/str/stockmarketingfun/277
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Python Real-world Projects
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https://news.1rj.ru/str/pythonspecialist/105
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Machine Learning for Decision Makers
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https://news.1rj.ru/str/machinelearning_deeplearning/110
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To start with Machine Learning:

1. Learn Python
2. Practice using Google Colab


Take these free courses:

https://news.1rj.ru/str/datasciencefun/290

If you need a bit more time before diving deeper, finish the Kaggle tutorials.

At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle.

If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed.

From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit.

The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them:

https://news.1rj.ru/str/datasciencefree/259

Many different books will help you. The attached image will give you an idea of my favorite ones.

Finally, keep these three ideas in mind:

1. Start by working on solved problems so you can find help whenever you get stuck.
2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice.
3. Find a community on LinkedIn or 𝕏 and share your work. Ask questions, and help others.

During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right.

Here is the good news:

Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space.

Focus on finding your path, and Write. More. Code.

That's how you win.✌️✌️
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All Data Analytics, SQL, Python, ML, Data Science & other useful Study materials complete free Notes😍🔥

https://www.linkedin.com/posts/sql-analysts_all-data-analytics-sql-python-ml-data-activity-7152184466231222272-gEFZ?utm_source=share&utm_medium=member_android
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