the audio is so low, man

I have just found your signal processing series. Excellent. I have a question that I hope you can shed some light one. I use SciPy fft, fftfreq, and find_peaks, and have found that the amplitudes of the peaks found are hugely different (i.e. fft amplitude of a peak is 1200 and find_peaks has an amplitude of 0.65. Any insight would be appreciated. Thanks.

Hahaha go for it buddy😅

Thank you

Hello Christopher, Thank you for teaching me python. I am a PhD student in food science, mainly work with FTIR and GC-MS data. I am a three-month years old in python :). And struggling to manage my FTIR/GC-MS data (I work with a lot of data). It would very helpful for me (hope for others also ) if you make in-depth guides: 1. How to manage/organize data (FTIR, GC-MS- which format is suitable for FTIR/GC-MS data storage) 2. Maybe a GC-MS data analysis project that you would demonstrate how to import data, how to clean/ how to visualize/ how to find peaks (which you already did thought), and so on. I mean a complete real case study. 3. Covering Chemometrics would be amazing which is hard to find in youtube. 4. Random forest/PLS/PLS-D/ASCA? 5. Plot/Scatter plot for publication? I am just giving ideas it doesn't mean you should do every thing in this list. You already have created the content which is helping me in my PhD journey! Good luck!

Do you know Poker test or run test? These tests use for controling randomization.

Subscribed👍 succinct, informative.

Finally some animals! I'm stunned.

I stumbled onto your videos. Feels like I stumbled into a new world. I was searching for training data for the purpose of training up a large language model on organic chemistry. Started watching your videos and realised how limited my thinking is/was. Thanx a zillion.

First time I have seen your videos. This is genuinely a very good video. Very well explained and clear. I am subscribing. The music wasn’t off putting either!

So what about if we were to standardize using z-scoring? It seems like that would get largely the same impact, wouldn't it?

Chris😂, some of your videos are awesome, i am still looking at derivatives you did recently. As far as garbage by the watter: police department has to let bums through to spend time somewhere. Bums usually bring through away to these kinds of places, the shopping cart means they walked it from the parking lot of target 🎯 with their bags.

The story is people and people don't deserve the ground they walk on...

Great video man, it’s hard to come by something so easy to follow, keep it up!

Have a day with a ☕️

TRUMP 2024

Now take a walk until you find wildlife. Is that a thing in the city?

I should start counting the steps! 1,2, Welp…

Great video! What I found out that savgol as second derivative does not calculate boundaries of wavelengths. So, I got one wavelength point less. But, when I applied np.gradient as 2nd derivative, I got desired full wavelength range. Probably, from your experience, you can explain the difference between savgol and np.gradient? And dummy question, does it make sense calculate third order derivate? 😅

Howdy!! Here is the data discussed in the video :) github.com/chrisp33/Analytical_YT_Tutorials/blob/main/nir_coffee.csv

Very helpful video! :) I'm a beginner in Python and learning pandas by doing a personal project. For sure, this method is excellent to keep the code organized. Thank you so much for explaining how it works!

We got lots of that in Colorado

First of all, I would like to thank you for your explanation.. I have some questions for this method. My experimental data has 1600 information about modal analysis ( frequencies Vs Magnitudes ) So, how can identify the most good peaks with this PPM? (I'm not good in python)

Explaining complex subjects with your calm, composed, deep voice paired with the slow jazz music background of your choosing make me feel like I am in a private tutoring session with you in an empty bar. I am all for it! Thank you!

So close!!

Go in Chris😅, what u scared off😂

great tip. thanks for the tutorial!

i am working on some protein mass spectra need help how can i connect with you , your video tutorials are very helpful for a undergraduate like me

Why did you use t-SNe but not PCA? Or any other methods? Thanks :)

imparator

thank you🙂

Quick clean up.

Definitely not naturally occurring!

What solutions do you have for boosting performance?

First explain about the hardware setup! Is spectrum analyser line based? Light source spectrum?

When life gives you lemons, gather spectra!

This is interesting. If one corrects the original skewed data, via doing these kinds of transformations, in the context of linear regression or multiple linear regression, will that not change the interpretation of the original data. Curious to know.

Wondeful! Thank you 😊

This is interesting. Is there any other video on same project where you coding line by line?

Joe

Great video! Is there any video/course/book you'd recommend in order to understand Statistical Process Control as a Beginner

Great video! Have you tried measuring any plastics containing F?

Have a great day! What would you test in your home?

I am sure you have heard it before but Bob ross of python

Very cool to catch a glimpse of how this will pan out. Question: Would it be worthwhile to take a measurement of the wrap (on its own, doesn't matter which one). This would be the background measurement, and subtract it from the raw data of whatever sample you will be analysing?

Random question: When will you fully adopt polars instead of pandas into your analyses? Also, why matplotlib/seaborn over plotly? When are interactive visualizations **not** better (despite any increase in complexity)?

Skewing doesn’t necessarily matter if you’re using XGBoost, correct? For classification or regression, that is

Hi - do you have a good resource on the pros and cons of each of the scalers you mentioned towards the end of your video? TY

Subscribe to join the NIR in the Home Journey!! 🧪 🏠🧑🏽‍🔬

Bro you explain a concept, but go you need the music!! It’s distracting