𝗕𝗲𝘆𝗼𝗻𝗱 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗠𝗟, 𝘁𝗲𝗰𝗵 𝗲𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝟮𝟬𝟮𝟱 𝗶𝘀 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗹𝘆 𝗳𝗿𝗲𝗲. 𝗬𝗼𝘂 𝗷𝘂𝘀𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗸𝗻𝗼𝘄 𝘄𝗵𝗲𝗿𝗲 𝘁𝗼 𝗹𝗼𝗼𝗸.

Coursera is Paid 🤯 What are the (FREE) other options?

youtu.be/XPIWA9lomxs

Auto-correlation & Random walk have a connection:
Let’s assume there’s a drunk man. he wander the city aimlessly, His steps are random. Intuitively assume that his current position is completely tied to his previous position.
But his next steps in the next minute is unknown.

youtu.be/_Ke54TJqY9s

In this video, I focus on providing many alternatives of Kaggle (Kaggle still a marvelous platform) of free authentic datasets, sometimes all we want is real challenge & new projects!
Follow for more :)

youtu.be/HR1sDaZOMDI

We'll explore why time series is more than just a regression problem and why you shouldn't skip it, even if it's not perfect. Plus, I'll share a simple "last-cycle forecasting" trick that often provides a surprisingly strong baseline against complex AI models!

youtu.be/Y7KCMaBDeDM

How can we know if one thing truly causes another, or if it's just a coincidence? 𝐂𝐚𝐮𝐬𝐚𝐥 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞! 🤔
The field dedicated to uncovering cause-effect relationships, not just correlations. We'll explore why this is crucial for making better decisions in business, and tech.

youtu.be/40wIk7FSxdM

𝗪𝗵𝗶𝗰𝗵 𝗶𝘀 𝗪𝗼𝗿𝘀𝗲: 𝗙𝗮𝗹𝘀𝗲 𝗡𝗲𝗴𝗮𝘁𝗶𝘃𝗲 (𝗙𝗡) 𝗼𝗿 𝗙𝗮𝗹𝘀𝗲 𝗣𝗼𝘀𝗶𝘁𝗶𝘃𝗲 (𝗙𝗣)?
The cost or severity of a FP vs. FN is context-dependent. In the case of COVID-19, a FN is often worse because it may result in an infected individual unknowingly spreading the virus

#machinelearning #datascience #AI

youtu.be/S5_Q7hjwoRA

I discuss deep learning (DL) concepts, most common types, deep learning libraries in python & functions in PyTorch & TensorFlow, typically use in building neural networks models in python.

#deeplearning #datascience #artificialinteeligence #pytorch #tensorflow

youtu.be/JLXnuaLy_d4

In this video, I break down the machine learning components using Random Forest algorithm in Python!

Follow for more data science content :)
#machinelearning #randomforest #datascience #artificialintelligence #machinelearningpipeline #mlpipeline

youtu.be/zwgsjNlmRCU

In this video, I break down one of the most essential concepts in machine learning: Encoding vs Embedding. Whether you're just starting out or brushing up your skills, I will walk you through the different types of encoding (One-Hot, Label, Ordinal, Target, and Cyclical)

youtu.be/YubludFDl7Q

𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗰𝗮𝘆 📉
𝘛𝘩𝘦 𝘰𝘷𝘦𝘳𝘭𝘰𝘰𝘬𝘦𝘥 𝘵𝘩𝘳𝘦𝘢𝘵 𝘵𝘰 𝘔𝘓 𝘱𝘦𝘳𝘧𝘰𝘳𝘮𝘢𝘯𝘤𝘦
Accuracy isn’t the end. As data evolves, even great models degrade silently. Let’s break down what causes model decay and how to fight it. 🤖
#MachineLearning #DataScience #artificialintelligence

youtu.be/xdJweIMaPVY

Whether you’re job hunting or already in #Tech, spotting these signs early can save your time, energy, & peace of mind. Next video covers 7 #Tech Red Flags 👇

#DataScience #MachineLearning #ArtificialIntelliegence #ComputerScience #TechCareerAdvice #TechJob #Tech #cs #AI

youtu.be/aeMQZyV0x74

Ensemble Methods are getting🔥 #XGBoost, #CatBoost & #LightGBM are covered in the next video 👇

Focusing on the resilient advantages & limitations!

#DataScience #MachineLearning #ArtificialIntelliegence #ComputerScience #EnsembleLearning #XGBoost #CatBoost

youtu.be/7kWYW-99fpc

Whether you’re job hunting or already in tech, spotting these signs early can save your time, energy, and peace of mind. From vague leadership vibes to outdated systems, here’s a breakdown of what to look out for and how to handle them smartly..

youtu.be/aeMQZyV0x74

Tech skills hiring managers won't compromise on! Must-have skills for landing data science job in 2025
#fyp #datascience #artificialintelligence