αααα«α΅ 2
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ΒΉ α αα ααα³ α¨α°α£ααα αα α α°α¨α° ααα₯ ααα α α αα΅ αα₯ ααα α α₯α¨α α³αα₯
Β² α΅ααα΅ α₯αα°ααα₯α ααα ααα΅ α¨α°αα α΅αα αα£α₯ α°ααα α α¨αα α©α α΅αα α€α΅ αα αααα’
Β³ α₯αα° α₯α³α΅α α¨α°α¨ααα αα³αα½ α³α©α αΈαα€ α α«αα³αα³αΈαα αα α°ααα‘α£αΈαα’
β΄ α ααα αααα΅ α α±α΅ ααα£αΈαα₯ αααα΅α αααα© ααα΅ α₯αα° α°α£αΈα α αα αα³αα½ αααα© αααα’
Β―Β―Β―Β―Β―Β―Β―Β―Β―Β―
ΒΉ α αα ααα³ α¨α°α£ααα αα α α°α¨α° ααα₯ ααα α α αα΅ αα₯ ααα α α₯α¨α α³αα₯
Β² α΅ααα΅ α₯αα°ααα₯α ααα ααα΅ α¨α°αα α΅αα αα£α₯ α°ααα α α¨αα α©α α΅αα α€α΅ αα αααα’
Β³ α₯αα° α₯α³α΅α α¨α°α¨ααα αα³αα½ α³α©α αΈαα€ α α«αα³αα³αΈαα αα α°ααα‘α£αΈαα’
β΄ α ααα αααα΅ α α±α΅ ααα£αΈαα₯ αααα΅α αααα© ααα΅ α₯αα° α°α£αΈα α αα αα³αα½ αααα© αααα’
β€4π₯1
Whatever you do don't lose the lord lose everything lose everyone
But don't lose the lord we can't afford to lose the lord no one replaces the lord!!!nothing!!!
He is ma everything
I may be upset with him
I may be angry at him
But he knows i adore him
I may walk away from him
BUT HE KNOWS I LOVE HIM!!!
whatever it is!! the lord is the only one there is no other one but him
Hold on to JESUS Christ!!!!
But don't lose the lord we can't afford to lose the lord no one replaces the lord!!!nothing!!!
He is ma everything
I may be upset with him
I may be angry at him
But he knows i adore him
I may walk away from him
BUT HE KNOWS I LOVE HIM!!!
whatever it is!! the lord is the only one there is no other one but him
Hold on to JESUS Christ!!!!
π3π’2
My belong brothers and sister please help me by filling this form!!!
this is for researchπ€π€π€
https://docs.google.com/forms/d/e/1FAIpQLSeVGyfqvEUE03D20Azcbwb4AcFeXrOOYLRxfpffhDYDppjGfQ/viewform?usp=sf_link
this is for researchπ€π€π€
https://docs.google.com/forms/d/e/1FAIpQLSeVGyfqvEUE03D20Azcbwb4AcFeXrOOYLRxfpffhDYDppjGfQ/viewform?usp=sf_link
Google Docs
Betting and university students
Research on betting. This is only for assignment purpose and your answers will not be shared to anyone who is third party.
π©1
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1α α°α°ααα 5
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ΒΉβ΄ ααα΅αα½ ααα₯ α₯αααα«α½αααα€ α«α α₯ααα΅ α¨ααα±α΅α αα₯αΉα αΈαα€ α΅αα¨α΅ α¨αααΈαα α α½αα αΈαα€ αα°α«αα½ α΅αααΈαα€ α°αα αα α³αα‘α’
ΒΉβ΅ ααα αααα α αα ααα³ αα α₯αα³αααα΅ α°α αααα₯ ααα αα αααα α₯αα΅ α αα³α½α αααα ααα«αα ααα΅α¨α α΅αα’
ΒΉβΆ αααα α°α΅ αα αα½αα€
ΒΉβ·-ΒΉβΈ α³α³ααα‘ αΈαα©α€ α αα α αα΅ααα€ αα α¨α₯ααα α₯αα ααα΅ α ααα΅αΆα΅ α’α¨α±α΅ αα° α₯ααα° αααα’
Β―Β―Β―Β―Β―Β―Β―Β―Β―Β―
ΒΉβ΄ ααα΅αα½ ααα₯ α₯αααα«α½αααα€ α«α α₯ααα΅ α¨ααα±α΅α αα₯αΉα αΈαα€ α΅αα¨α΅ α¨αααΈαα α α½αα αΈαα€ αα°α«αα½ α΅αααΈαα€ α°αα αα α³αα‘α’
ΒΉβ΅ ααα αααα α αα ααα³ αα α₯αα³αααα΅ α°α αααα₯ ααα αα αααα α₯αα΅ α αα³α½α αααα ααα«αα ααα΅α¨α α΅αα’
ΒΉβΆ αααα α°α΅ αα αα½αα€
ΒΉβ·-ΒΉβΈ α³α³ααα‘ αΈαα©α€ α αα α αα΅ααα€ αα α¨α₯ααα α₯αα ααα΅ α ααα΅αΆα΅ α’α¨α±α΅ αα° α₯ααα° αααα’
β€5π₯°1
INTRODUCTION TO PROBABILITY DISTRIBUTION FOR MACHINE LEARNING WITH PYTHON
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ππΏ https://youtu.be/TkFipAuH-rY
2. Types of a random variable
ππΏ https://youtu.be/jBYsKZOxR6k
3. Calculating probability using probability mass function
ππΏ https://youtu.be/ceSvPxY_uAk
4. Calculating probability over a range
ππΏ https://youtu.be/_WF9X4RyARA
5. Calculating Probability using the cumulative distribution function
ππΏ https://youtu.be/tfoGiPlwiys
6. Calculating probability of continuous variable using density function and cumulative distribution function
ππΏ https://www.youtube.com/watch?v=ikete4WQaj0
@Code_it_now
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π1
Mathematics for Machine Learning RoadMap
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Linear Regression in Python: Step By Step Tutorial with Example
Welcome to this comprehensive tutorial on linear regression in Python! In this video, I'll walk you through the entire process of building a simple linear regression model from scratch, complete with a real-world example.
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Data Structures with Projects full tutorial for beginners
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OOP in Python - beginners Crash Course https://www.youtube.com/watch?v=I7z6i1QTdsw
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This full Python tutorial covers everything from Python basics to advanced topics like exception handling, string methods, loops, functions, and even building a simple game.
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π2π€£1
αααα 18
Β―Β―Β―Β―Β―Β―Β―Β―Β―Β―
ΒΉ α α€α± ααα α΄ ααα₯ α₯αα΅α΅αααα’
Β² α₯ααα α₯αα ααα΄α₯ α αα£α¬α₯ αα΅ααα΄α₯ α ααα¬α₯ α α₯αα±α α¨αα°αααα α΅ α¨α³α΄α₯ αα³ααα¬α α¨α°α ααα΄ ααα΅ αα αα«α¬α ααα’
Β³ αα΅αα α¨ααα£αα α₯ααα α₯ααα α₯α α«ααα₯ α¨α ααΆαΌα α₯α΅αααα’
Β―Β―Β―Β―Β―Β―Β―Β―Β―Β―
ΒΉ α α€α± ααα α΄ ααα₯ α₯αα΅α΅αααα’
Β² α₯ααα α₯αα ααα΄α₯ α αα£α¬α₯ αα΅ααα΄α₯ α ααα¬α₯ α α₯αα±α α¨αα°αααα α΅ α¨α³α΄α₯ αα³ααα¬α α¨α°α ααα΄ ααα΅ αα αα«α¬α ααα’
Β³ αα΅αα α¨ααα£αα α₯ααα α₯ααα α₯α α«ααα₯ α¨α ααΆαΌα α₯α΅αααα’
π₯°5β€2β‘1