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How can we access this notebook. It is really amazing source of information. Thank you so much

please can you share the notebook with us? The teaching was outstanding.

PLEASE STOP USING BACKGROUND MUSIC

music is so distracting

Tks, Merci pour tes supers vidéos ! Voici un post à venir qui pourraient intéresser plusieurs abonnés et autres, c'est le fait de pouvoir trouver comment cliquer sur les choix de demandes de consentements comme sur le site Mappy, qui contient une masse d'infos de Pros et surtout leur email..., mais il y a des fenêtres qui sont bloquantes et difficiles à contourner ("Accepter & Fermer" + "Continuer sans accepter" + "Connexion" ...), merci pour ton écoute? Roby

I just watched a this video , and I have to say, it was fantastic! The explanations were clear, concise, and incredibly easy to follow. The step-by-step approach made complex concepts feel approachable, and I feel much more confident in my R skills now. Thank you for making learning R so accessible and enjoyable!

Very loud background music, tooo annoying

good materials

Thank you! Great explanation!

But are fine-tuned models better than RAGs?

very nicely explained

very informative lectures, thanks.

Thank you

Why is there distraction music in background?

Great video, thanks!

Data Science Dojo, love it

hello i couldnt find the dataset on your website only the jupyter notebook is there.

Can you give us the data set as well? or a video with data set so we can do it too along with you.

Business Hub = $39,900 per year for a SINGLE team...want more teams, $71,250 up to 3 teams. HARD PASS!

Hiyey, I'm a bit lost. Cause I followed the formula in the video and got 3750. But judging by the responses in the comments, does it mean that the formula for CLV = annual revenue x average number of reterion period - cost to acquire the customer?

bro where can the raw dat for practice

Can you please add github repo link?

Clv= $3750

Could you share this presentation?

this entire second session was just a recap of the first one... literally NOTHING NEW in this one

Hi I have a dataset which is revenue at day level from past 3 years I want to forecast the revenue for next 30 days But there is also a factor of seasonality like weekends, sales event How to tackle such scenarios

Could not focus and didnt get anything from the music

Hi. please in 46:37, while defining lines due to error. What line symbol did you use?

Syntax is dual to semantics -- languages or communication. Categories (form, syntax, objects) are dual to sets (substance, semantics, subjects) -- Category theory. Large language models are using duality. If mathematics is a language then it is dual. All numbers fall withing the complex plane. Real is dual to imaginary -- complex numbers are dual. All numbers are therefore dual. The integers are self dual as they are their own conjugates. Information is dual to co or mutual information -- information is dual. Potential or imaginary information (entropy) is dual to kinetic or real information (syntropy). Potential energy is dual to kinetic energy -- gravitational energy is dual. Average information (entropy) is dual to mutual information (syntropy). Mutual information (syntropy) allows for predictions to be made more accurate than chance or randomness! Syntropy (prediction) is dual to increasing entropy -- the 4th law of thermodynamics! Teleological physics (syntropy) is dual to non teleological physics (entropy). Converting information into mutual information is a syntropic process -- teleological. "Through imagination and reason we turn experience into foresight (prediction)" -- Spinoza describing syntropy. "Always two there are" -- Yoda, "The brain is a prediction machine" -- Karl Friston, neuroscientist. Making predictions is a syntropic process -- teleological.

Many thanks for this interview. I am happy that Luis has found his true calling and can attest the Machine Learning community needs more people like him. Unfortunately, the general understanding of ML is much, much less than it should be. Many teachers would struggle to explain a concept in simple terms and programmers are probably worse. Yesterday I was playing with someone’s GitHub code that was last updated in December 2023. Two weeks ago, someone opened an issue “where is main dot py?” I had the same question and couldn’t find a satisfactory answer either. The same author has at least one other popular repository that I was less than impressed with. And yes, I have watched THAT video. Unfortunately, my puzzle “Slanted Land - The Sudoku!” is probably not appearing on Cracking The Cryptic any time soon!

Daniel needs to speak a bit slower. It's easy to follow the pace, but he starts to suffer from a dry throat and struggles speaking calmly. This makes it a bit hard to follow at times. Speaking slower should help prevent this.

It's quite obvious to run a second AI agent as a supervisor who will evaluate the answers. Running a team of AI agents gives significantly better results in every metric and in cases where this makes sense, the more expensive models can instruct less powerful, less expensive models to make it more cost effective.

Wow💕 Yaswant very happy to see you 💕good luck for your future dream to come true💕

i wonder if netflix carefully uses the metrics because my feedback is that their recommendations always sucks

love the information, but the sound effects are a little overwhelming in this one.

Hi Team, can you help me with the key error with ‘predictions’

CLV = $1,750

Thank you this was a really good video, easy to follow and well paced.

I'm unable to import RunDetails could you tell me what's the cause or any solution for it