YouTube video by RonyMLE
Coursera is Paid ๐คฏ What are the (FREE) other options?
๐๐ฒ๐๐ผ๐ป๐ฑ ๐ง๐๐ฝ๐ถ๐ฐ๐ฎ๐น ๐ ๐, ๐๐ฒ๐ฐ๐ต ๐ฒ๐ฑ๐๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ ๐ถ๐ ๐ฐ๐ผ๐บ๐ฝ๐น๐ฒ๐๐ฒ๐น๐ ๐ณ๐ฟ๐ฒ๐ฒ. ๐ฌ๐ผ๐ ๐ท๐๐๐ ๐ป๐ฒ๐ฒ๐ฑ ๐๐ผ ๐ธ๐ป๐ผ๐ ๐๐ต๐ฒ๐ฟ๐ฒ ๐๐ผ ๐น๐ผ๐ผ๐ธ.
Coursera is Paid ๐คฏ What are the (FREE) other options?
youtu.be/XPIWA9lomxs
01.10.2025 08:48 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by RonyMLE
Part 2: Time Series Forecasting: Build a Baseline & Understand the Random Walk
Auto-correlation & Random walk have a connection:
Letโs assume thereโs 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
29.09.2025 03:07 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by ๐ฅ๐ผ๐ป๐ | ๐๐ฎ๐๐ฎ & ๐๐ ๐ค
Where Data Scientists Find Free Datasets (Beyond Kaggle)
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
27.09.2025 02:33 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by ๐ฅ๐ผ๐ป๐ | ๐๐ฎ๐๐ฎ & ๐๐ ๐ค
Part 1: Time Series Forecasting in Python (Practical Guide)
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
26.09.2025 03:01 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by ๐ฅ๐ผ๐ป๐ | ๐๐ฎ๐๐ฎ & ๐๐ ๐ค
Part 1: Causal Inference Comprehensive Guide
How can we know if one thing truly causes another, or if it's just a coincidence? ๐๐๐ฎ๐ฌ๐๐ฅ ๐๐ง๐๐๐ซ๐๐ง๐๐! ๐ค
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
25.09.2025 22:44 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
๐ช๐ต๐ถ๐ฐ๐ต ๐ถ๐ ๐ช๐ผ๐ฟ๐๐ฒ: ๐๐ฎ๐น๐๐ฒ ๐ก๐ฒ๐ด๐ฎ๐๐ถ๐๐ฒ (๐๐ก) ๐ผ๐ฟ ๐๐ฎ๐น๐๐ฒ ๐ฃ๐ผ๐๐ถ๐๐ถ๐๐ฒ (๐๐ฃ)?
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
16.05.2025 23:25 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
Deep Learning 101: Neural Networks Fundamentals | Forward Propagation
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
16.05.2025 19:23 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
Machine Learning 101: How to Build Machine Learning Pipeline in Python?
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
16.05.2025 19:17 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
Encoding vs Embedding | Feature Engineering Explained w Real Examples
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
06.05.2025 14:47 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
Understanding Model Degrading | Machine Learning Model Decay
๐ ๐ผ๐ฑ๐ฒ๐น ๐๐ฒ๐ฐ๐ฎ๐ ๐
๐๐ฉ๐ฆ ๐ฐ๐ท๐ฆ๐ณ๐ญ๐ฐ๐ฐ๐ฌ๐ฆ๐ฅ ๐ต๐ฉ๐ณ๐ฆ๐ข๐ต ๐ต๐ฐ ๐๐ ๐ฑ๐ฆ๐ณ๐ง๐ฐ๐ณ๐ฎ๐ข๐ฏ๐ค๐ฆ
Accuracy isnโt the end. As data evolves, even great models degrade silently. Letโs break down what causes model decay and how to fight it. ๐ค
#MachineLearning #DataScience #artificialintelligence
youtu.be/xdJweIMaPVY
01.05.2025 15:52 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
7 Tech Red Flags You Shouldnโt Ignore & How to Address Them!
Whether youโre 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 ๐
#DataScience #MachineLearning #ArtificialIntelliegence #ComputerScience #TechCareerAdvice #TechJob #Tech #cs #AI
youtu.be/aeMQZyV0x74
14.04.2025 05:23 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
Ensemble Methods: CatBoost vs XGBoost vs LightGBM in Python
Ensemble Methods are getting๐ฅ #XGBoost, #CatBoost & #LightGBM are covered in the next video ๐
Focusing on the resilient advantages & limitations!
#DataScience #MachineLearning #ArtificialIntelliegence #ComputerScience #EnsembleLearning #XGBoost #CatBoost
youtu.be/7kWYW-99fpc
14.04.2025 05:20 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
YouTube video by Rony's Data Science Journey
7 Tech Red Flags You Shouldnโt Ignore & How to Address Them!
Whether youโre 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, hereโs a breakdown of what to look out for and how to handle them smartly..
youtu.be/aeMQZyV0x74
13.04.2025 06:17 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Working as Head of Talent and Culture at Xyme.ai.
'Enzyme design is the next grand challenge. Nature has spent billions of years evolving the enzymes we use today. Now we must design the enzymes of tomorrow.'
https://jobs.ashbyhq.com/xyme
News and analysis with a global perspective. Weโre here to help you understand the world around you. Subscribe here: https://econ.st/4fAeu4q
Assistant Professor @ Genome Sciences at University of Washington | Previously Instructor @ Harvard Medical School | Incoming Seeking how much of our destiny can be explained by data and science.
https://saorisakaue.github.io/
Author of SQL for Data Scientists (Wiley), Senior Director of Data Science at HelioCampus, creator of Becoming a Data Scientist podcast
She/her
https://sqlfordatascientists.com
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Professor of Applied Data Science @BFH โข Cognitive neuroscientist โข Faces & Super-Recognizers โข Expert for Innosuisse โข Scientific advisor for Berlin Police โข Co-developer of beSureยฎ - Berlin Test for Super-Recognizer Identification
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