@azizcoulibaly281:

yes l'm musulman

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Region: CI

Friday 18 September 2026 21:06:35 GMT

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fawziabendeddouch :

Allah ou Akbar

2026-09-18 21:24:11

25

user7805420782257 :

que Dieu nous protège amén amén amén

2026-09-18 23:19:32

22

BND SL :

sallahou alla moukhed 🥰🥰🥰

2026-09-19 13:16:23

3

Queen najuu 🇸🇱❤️🫀🇬🇲 :

Allha😭🤲

2026-09-19 21:55:02

0

iskutaliso6 :

الله أكبر

2026-09-19 17:58:08

0

كلين هاوس☠️ شفرة💊☠️🥷 :

اللهم انصر جميع المسلمين يارب

2026-09-19 23:08:30

1

￴ ￴ ￴ ￴ ￴ ￴ ￴ ￴ ￴ ￴ :

allah

2026-09-19 17:51:51

0

SPARTA :

Amina

2026-09-21 03:03:04

0

💱Alma 💲Eizu :

الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر الله أكبر

2026-09-19 20:58:14

0

Lagaré223🩷 :

🤲🤲🤲🤲🤲🤲Anime yarabi

2026-09-18 21:17:04

4

Almoustapha Mounkaila :

Dieu le tout puissant

2026-09-20 15:43:34

0

Maryam :

Allah

2026-09-19 20:45:23

0

Ibrahima Krouma :

Amine

2026-09-19 22:21:10

0

momo_763947 :

https://vt.tiktok.com/ZSq3PLxCA/

2026-09-20 23:53:23

0

Ali Diko🇲🇷🇱🇧 :

الله الله

2026-09-18 23:57:32

1

❤️🌹😘🌹 :

2026-09-18 23:18:02

0

Mariama Wuria :

2026-09-21 08:16:40

0

Oumou :

❤️❤️❤️❤️❤️❤️

2026-09-18 22:58:40

1

Kadidjatou Traore :

allah 🤲🤲🤲🙏🙏☝️☝️

2026-09-18 22:25:36

4

MDA :

Amine yarab 🤲

2026-09-19 13:47:33

0

Niankass Djité :

2026-09-19 13:59:13

0

ود شرم حليب العامري 🤙 :

الله أكبر

2026-09-19 20:34:37

0

hash_kidy8🧸🧸 :

amin

2026-09-19 17:01:46

0

Adama sounge 166 :

sallaho Alla moukhamade ❤️

2026-09-19 17:33:04

0

🦻👈😡😡00000🇲🇱🇧🇫🇳🇪 :

2026-09-18 23:24:28

0

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Probability distributions describe how probabilities are assigned to possible values of a random variable. There are two fundamental types you should know. 👇 1️⃣ DISCRETE DISTRIBUTION 🔢 A discrete random variable takes countable values, often integers. Examples: 🎲 Number on a dice 👥 Number of customers 📞 Number of calls 🪙 Number of heads PMF Probability Mass Function (PMF) gives the probability of each individual value. Example: 🎲 P(X = 3) = 1/6 Common discrete distributions: 🔹 Binomial 🔹 Poisson 🔹 Bernoulli 🔹 Geometric 2️⃣ CONTINUOUS DISTRIBUTION 📈 A continuous random variable can take any value within a range of real numbers. Examples: 📏 Height ⚖️ Weight 🌡️ Temperature ⏱️ Time 💰 Measurements PDF Probability Density Function (PDF) describes the density of probability across values. For continuous variables: P(X = exact value) = 0 Instead, probability is calculated over an interval. Example: P(170 < Height < 180) Common continuous distributions: 🔔 Normal ⏳ Exponential 📊 Uniform 🎯 Student’s t 🧠 EASY WAY TO REMEMBER PMF → Points / individual values PDF → Density across a continuous range 🔢 Discrete: “How likely is this exact outcome?” 📈 Continuous: “How much probability lies within this range?” 💡 Understanding probability distributions is essential for statistics, hypothesis testing, Machine Learning, and Data Science. 📌 Save this cheat sheet for your ML journey. #Probability #Statistics #DataScience #MachineLearning #creatorsearchinsights

Probability distributions describe how probabilities are assigned to possible values of a random variable. There are two fundamental types you should know. 👇 1️⃣ DISCRETE DISTRIBUTION 🔢 A discrete random variable takes countable values, often integers. Examples: 🎲 Number on a dice 👥 Number of customers 📞 Number of calls 🪙 Number of heads PMF Probability Mass Function (PMF) gives the probability of each individual value. Example: 🎲 P(X = 3) = 1/6 Common discrete distributions: 🔹 Binomial 🔹 Poisson 🔹 Bernoulli 🔹 Geometric 2️⃣ CONTINUOUS DISTRIBUTION 📈 A continuous random variable can take any value within a range of real numbers. Examples: 📏 Height ⚖️ Weight 🌡️ Temperature ⏱️ Time 💰 Measurements PDF Probability Density Function (PDF) describes the density of probability across values. For continuous variables: P(X = exact value) = 0 Instead, probability is calculated over an interval. Example: P(170 < Height < 180) Common continuous distributions: 🔔 Normal ⏳ Exponential 📊 Uniform 🎯 Student’s t 🧠 EASY WAY TO REMEMBER PMF → Points / individual values PDF → Density across a continuous range 🔢 Discrete: “How likely is this exact outcome?” 📈 Continuous: “How much probability lies within this range?” 💡 Understanding probability distributions is essential for statistics, hypothesis testing, Machine Learning, and Data Science. 📌 Save this cheat sheet for your ML journey. #Probability #Statistics #DataScience #MachineLearning #creatorsearchinsights

Flip through Little Shop by @Hikaru with me 💖🫶🏼🌸 #coloringbook #coloring #hikarukotz #coloringbookforadults #tiktokshop

Flip through Little Shop by @Hikaru with me 💖🫶🏼🌸 #coloringbook #coloring #hikarukotz #coloringbookforadults #tiktokshop

#whaneverwherever #fypシ゚viral #غمگین #عاشقانه #fypシ゚viral

#whaneverwherever #fypシ゚viral #غمگین #عاشقانه #fypシ゚viral

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