Is discrete or continuous variable?
https://youtu.be/jBYsKZOxR6k

Calculating Probability over a range using Scipy a Python Library with Visualization
https://youtu.be/_WF9X4RyARA

Day3 Interview Challenge:
Data Science Interview Questions: A Probability
https://youtu.be/YVyAcvx5K-Q

You can watch other questions: https://www.youtube.com/playlist?list=PL0nX4ZoMtjYFbYUr51poBmx68FtlY1Awk

I'm curious🤭 about statistics Vs Probability
Here, I have made some tutorials about probability distribution for Machine learning using Scipy Python library https://www.youtube.com/watch?v=TkFipAuH-rY&list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI

Probability is the key to Machine Learning. You can learn it by visualizing with Python from scratch: https://bit.ly/3KRSxOe

Join Telegram: https://t.me/epythonlab

#probability #machinelearning #python #epythonlab

INTRODUCTION TO PROBABILITY DISTRIBUTION FOR MACHINE LEARNING
1. What is a random variable?
👉🏿 https://youtu.be/TkFipAuH-rY
2. Types of a random variable
👉🏿 https://youtu.be/jBYsKZOxR6k
3. Calculating probability using probability mass function
👉🏿 https://youtu.be/ceSvPxY_uAk
4. Calculating probability over a range
👉🏿 https://youtu.be/_WF9X4RyARA
5. Calculating Probability using the cumulative distribution function
👉🏿 https://youtu.be/tfoGiPlwiys
6. Calculating probability of continuous variable using density function and cumulative distribution function
👉🏿 https://www.youtube.com/watch?v=ikete4WQaj0

INTRODUCTION TO PROBABILITY DISTRIBUTION FOR MACHINE LEARNING WITH PYTHON

1. What is a random variable?
👉🏿 https://youtu.be/TkFipAuH-rY

2. Types of a random variable
👉🏿 https://youtu.be/jBYsKZOxR6k

3. Calculating probability using probability mass function
👉🏿 https://youtu.be/ceSvPxY_uAk

4. Calculating probability over a range
👉🏿 https://youtu.be/_WF9X4RyARA

5. Calculating Probability using the cumulative distribution function
👉🏿 https://youtu.be/tfoGiPlwiys

6. Calculating probability of continuous variable using density function and cumulative distribution function
👉🏿 https://www.youtube.com/watch?v=ikete4WQaj0

INTRODUCTION TO PROBABILITY DISTRIBUTION FOR MACHINE LEARNING WITH PYTHON

1. What is a random variable?
👉🏿 https://youtu.be/TkFipAuH-rY

2. Types of a random variable
👉🏿 https://youtu.be/jBYsKZOxR6k

3. Calculating probability using probability mass function
👉🏿 https://youtu.be/ceSvPxY_uAk

4. Calculating probability over a range
👉🏿 https://youtu.be/_WF9X4RyARA

5. Calculating Probability using the cumulative distribution function
👉🏿 https://youtu.be/tfoGiPlwiys

6. Calculating probability of continuous variable using density function and cumulative distribution function
   👉🏿 https://www.youtube.com/watch?v=ikete4WQaj0

I'm curious🤭 about statistics Vs Probability
Here, I have made some tutorials about probability distribution for Machine learning using Scipy Python library https://www.youtube.com/watch?v=TkFipAuH-rY&list=PL0nX4ZoMtjYEl_1ONxAZHu65DPCQcsHmI

Master the Math Behind Machine Learning

Whether you're just starting or looking to strengthen your foundation, here's a curated roadmap covering key mathematical concepts every ML practitioner should know. Dive into Linear Algebra, Probability Distributions, and Linear Regression with focused resources.

Join the learning journey and connect with like-minded learners in our Telegram group https://t.me/epythonlab

🔗 Linear Regression: https://bit.ly/46rqiBu
🔗 Linear Algebra: https://bit.ly/45EpfwB
🔗 Probability Distribution: https://bit.ly/495L8b5
🔗 Telegram Group: https://bit.ly/3IR1lnm

#MachineLearning #MathForML #DataScience #AI #LearningPath #LinearAlgebra #Probability #MLRoadmap