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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Learn Complete MatPlotLib.pdf
4.3 MB
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
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All Cheat Sheets Collection (3).pdf
2.7 MB
Python For Data Science Cheat Sheet

#python #datascience #DataAnalysis

https://t.iss.one/CodeProgrammer

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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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Statistics for Data Science Notes.pdf
2.1 MB
๐Ÿท "Statistics for Data Science" Notes


๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป In these notes, everything is structured and neatly organized from the basics of statistics to advanced tips. Each concept is explained with examples, formulas, and charts to make learning easy

๐Ÿ›‘ What is statistics and why is it important?
๐Ÿ›‘ Basic concepts
๐Ÿ›‘ Descriptive statistics
๐Ÿ›‘ Inferential statistics
๐Ÿ›‘ Discrete and continuous distributions
๐Ÿ›‘ And many other topics

๐ŸŒ #Data_Science #DataScience

https://t.iss.one/CodeProgrammer โœ…

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Forwarded from Data Analytics
pandas Cheat Sheet.pdf
1.6 MB
๐Ÿ“• #pandas Cheat Sheet


๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป To easily read, inspect, clean, and manipulate data however you want, you need to master pandas!

โœ๏ธ To make learning and using pandas easier, this #cheatsheet covers almost all the important features you need for data-driven projects.

โœ”๏ธ Reading and writing data
โœ”๏ธ Data inspection
โœ”๏ธ Data transformation and cleaning
โœ”๏ธ Grouping and summarizing
โœ”๏ธ Combining datasets

๐ŸŒ #DataScience #DataScience

https://t.iss.one/DataAnalyticsX ๐Ÿ
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Data Analytics
pandas Cheat Sheet.pdf
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๐Ÿš€ Master Data Science & Programming!

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๐Ÿ”ฐ Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer

๐Ÿ”– Machine Learning
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