Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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Channel photo updated
Learn Complete MatPlotLib.pdf
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Learn Complete #MatPlotLib with most asked #interview questions

๐Ÿ‘‰  @codeprogrammer
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Amazing NumPy Cheat Sheet.pdf
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Amazing NumPy Cheat Sheet Snippet with 100 exercises for practicing the concept to get hands on to clear the coding round in the interviews

#NumPy #codingexams

https://t.iss.one/CodeProgrammer
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Machine Learning with Python
๐Ÿ’ธ PacketSDK--A New Way To Make Revenue From Your Apps Regardless of whether your app is on desktop, mobile, TV, or Unity platforms, no matter which app monetization tools youโ€™re using, PacketSDK can bring you additional revenue! โ— Working Principle: Convertโ€ฆ
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All Cheat Sheets Collection (3).pdf
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Python For Data Science Cheat Sheet

#python #datascience #DataAnalysis

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๐Ÿš€ ๐„๐ฉ๐จ๐œ๐ก ๐ฏ๐ฌ ๐ˆ๐ญ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง ๐ข๐ง ๐ƒ๐ž๐ž๐ฉ ๐‹๐ž๐š๐ซ๐ง๐ข๐ง๐  โ€“ ๐“๐ก๐ž ๐Œ๐จ๐ฌ๐ญ ๐‚๐จ๐ฆ๐ฆ๐จ๐ง๐ฅ๐ฒ ๐‚๐จ๐ง๐Ÿ๐ฎ๐ฌ๐ž๐ ๐“๐ž๐ซ๐ฆ๐ฌ!

When training a neural network, two words confuse most beginners:

๐Ÿ”น ๐„๐ฉ๐จ๐œ๐ก
๐˜ˆ๐˜ฏ ๐˜ฆ๐˜ฑ๐˜ฐ๐˜ค๐˜ฉ ๐˜ฎ๐˜ฆ๐˜ข๐˜ฏ๐˜ด ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฎ๐˜ฐ๐˜ฅ๐˜ฆ๐˜ญ ๐˜ฉ๐˜ข๐˜ด ๐˜ด๐˜ฆ๐˜ฆ๐˜ฏ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฆ๐˜ฏ๐˜ต๐˜ช๐˜ณ๐˜ฆ ๐˜ฅ๐˜ข๐˜ต๐˜ข๐˜ด๐˜ฆ๐˜ต ๐˜ฐ๐˜ฏ๐˜ค๐˜ฆ.
๐˜๐˜ง ๐˜บ๐˜ฐ๐˜ถ ๐˜ต๐˜ณ๐˜ข๐˜ช๐˜ฏ ๐˜ง๐˜ฐ๐˜ณ 10 ๐˜ฆ๐˜ฑ๐˜ฐ๐˜ค๐˜ฉ๐˜ด, ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ฎ๐˜ฐ๐˜ฅ๐˜ฆ๐˜ญ ๐˜จ๐˜ฐ๐˜ฆ๐˜ด ๐˜ต๐˜ฉ๐˜ณ๐˜ฐ๐˜ถ๐˜จ๐˜ฉ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ธ๐˜ฉ๐˜ฐ๐˜ญ๐˜ฆ ๐˜ฅ๐˜ข๐˜ต๐˜ข 10 ๐˜ต๐˜ช๐˜ฎ๐˜ฆ๐˜ด.

๐Ÿ”น ๐ˆ๐ญ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง
๐˜ˆ๐˜ฏ ๐˜ช๐˜ต๐˜ฆ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ ๐˜ช๐˜ด ๐˜ฐ๐˜ฏ๐˜ฆ ๐˜ธ๐˜ฆ๐˜ช๐˜จ๐˜ฉ๐˜ต ๐˜ถ๐˜ฑ๐˜ฅ๐˜ข๐˜ต๐˜ฆ, ๐˜ฃ๐˜ข๐˜ด๐˜ฆ๐˜ฅ ๐˜ฐ๐˜ฏ ๐˜ข ๐˜ด๐˜ช๐˜ฏ๐˜จ๐˜ญ๐˜ฆ ๐˜ฃ๐˜ข๐˜ต๐˜ค๐˜ฉ ๐˜ฐ๐˜ง ๐˜ฅ๐˜ข๐˜ต๐˜ข.

If you have:
10,000 ๐˜ณ๐˜ฆ๐˜ค๐˜ฐ๐˜ณ๐˜ฅ๐˜ด
๐˜‰๐˜ข๐˜ต๐˜ค๐˜ฉ ๐˜ด๐˜ช๐˜ป๐˜ฆ = 100
๐Ÿ‘‰ ๐˜›๐˜ฉ๐˜ฆ๐˜ฏ ๐˜บ๐˜ฐ๐˜ถ ๐˜จ๐˜ฆ๐˜ต 100 ๐˜ช๐˜ต๐˜ฆ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ด ๐˜ฑ๐˜ฆ๐˜ณ ๐˜ฆ๐˜ฑ๐˜ฐ๐˜ค๐˜ฉ.

โœ”๏ธ ๐’๐ข๐ฆ๐ฉ๐ฅ๐ž ๐€๐ง๐š๐ฅ๐จ๐ ๐ฒ
๐“๐ก๐ข๐ง๐ค ๐จ๐Ÿ ๐ ๐จ๐ข๐ง๐  ๐ญ๐จ ๐ญ๐ก๐ž ๐ ๐ฒ๐ฆ:
๐„๐ฉ๐จ๐œ๐ก = ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ญ๐ข๐ง๐  ๐ญ๐ก๐ž ๐ž๐ง๐ญ๐ข๐ซ๐ž ๐ฐ๐จ๐ซ๐ค๐จ๐ฎ๐ญ ๐ฉ๐ฅ๐š๐ง ๐จ๐ง๐œ๐ž
๐ˆ๐ญ๐ž๐ซ๐š๐ญ๐ข๐จ๐ง = ๐๐จ๐ข๐ง๐  ๐จ๐ง๐ž ๐ฌ๐ž๐ญ ๐ข๐ง๐ฌ๐ข๐๐ž ๐ญ๐ก๐š๐ญ ๐ฐ๐จ๐ซ๐ค๐จ๐ฎ๐ญ

The model becomes stronger with every iteration, and improves overall with more epochs.


Read More: https://telegra.ph/Demystifying-Epochs--Iterations-in-Deep-Learning-11-24

๐Ÿ‘‰  @codeprogrammer
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