Channel Avatar

AnalytiCode @UCvY2JD6bd0huQdeGcdNILEA@youtube.com

3.5K subscribers - no pronouns :c

Welcome to the Ultimate Hub for Analytical Data Science & Me


11:36
How Data-Driven Heroes Saved Back Bay from Disaster!
10:21
Reddit’s Data Is Beautiful! QUICKLY make Sankey Diagrams in Python
09:44
Can Near IR Spectroscopy track banana damage?
07:48
Can Near Infrared Spectroscopy Track Banana Ripeness?
11:30
Can Near IR Spectroscopy Track Maillard Reaction?
06:49
Spotting the Invisible with NIR Spectroscopy and Python Tools!
03:33
3 Easy Methods to Add Columns to Your Pandas DataFrame
07:41
How to QUICKLY Combine Classification and Regression Models for Food Authenticity!
04:53
Can Data Science and NIRS Quantitate Coffee Adulteration?
08:50
Want to DETECT Coffee Fraud? Watch This Now!
05:58
How to use Pandas Groupby Like a Pro!
02:13
Why You Should NEVER Use Pandas’ inplace Argument!
07:14
How PCA and Signal Processing Can Save Your Near IR Data!
13:55
Unlocking Insights: How to Perform EDA on 110 Coffee Samples
06:52
Can You Detect Fake Coffee? Building an Adulteration Dataset!
04:34
How to Use Python & F-Test for NIR Data Feature Selection like a pro!
13:48
How to Use Python Pandas to Merge, Join, and Concatenate Like A Pro!
12:52
How A Chemist Tests For ADULTERATED Coffee at Home! (Proof of Concept)
07:57
How to Use Pandas to Clean String Data!
09:52
How to use Kmeans and Ipywidgets to unlock new data insights!
10:40
How to Handle Missing Values in Pandas Like a Pro!
10:06
Detecting Coffee Outliers with Near IR and Python
02:36
Data Validation in Python: Using df.empty to Ensure Clean Data
14:35
Near IR + Python data analysis of 20 Coffees!
03:07
The Truth About Standard Scaler: Can It Correct Skewed Data?
06:22
Boost Performance with Python Feature Selection with NIRS data
08:12
How to Boost Plastic Detection Accuracy with NIR Spectroscopy!
06:19
Build Better Models with PCA | NIRS Plastic Prediction!
09:00
Let's explore total dissolved solids in the LA River!
06:54
How to Filter Near IR Data!
00:45
We are back!
11:01
Evaluate Spectroscopy Signal with Percent RSD!
11:16
Evaluate Sample Replicates with Pearson Correlation and Python!
06:42
Boosting Analytical Data with Derivative Signal Processing!
06:45
Analyzing Vacuum Soil and Dryer Lint with Near IR Spectroscopy!
04:57
Boosting Job Performance with Peloton: My Success Story
04:41
Catch Lemons BEFORE THEY ROT with Near IR!
07:34
Chemical Analysis at Home: Analyzing Plastic Containers!
17:23
NIRS Analysis and Python Data Insights of Dryer Sheets!
03:57
TrinamiX Near IR Spectroscopy Demonstration! | Anomaly Detection
08:09
Advanced Python Signal Processing for Pharmaceutical Data!
07:51
Cleaning a River with Science | Data Vlog!
17:27
VLOG! My Journey to develop range! USC, LA River, and Chemical Analysis! 🧪
16:48
Exploring the TrinamiX Near IR Spectrometer: Software, Features, and Data!
04:49
We Are Moving Towards Fieldable Measurements! 🥳
09:05
Create Jointplots EASILY with Seaborn!
11:02
Refactoring Data with Pandas: Mastering GroupBy and QCut for Efficient Analysis
22:46
Nippy Signal Processing Tutorial for Near IR Spectroscopy
12:10
Accelerate your NIRS data processing with Nippy! | PT1
03:28
Pandas Factorize Method | Tutorial
03:37
Pandas Plotting Bootstrapping Method | Tutorial
03:45
Pandas Plotting Scatter Matrix! | Tutorial
05:23
Schedule your data processing! | Jupyter Extension Tutorial
02:59
Solve Chemistry Problems with Python: Planck's Constant & Avogadro's Number!
05:43
How to Find Peaks and Valleys in Spectra!
02:45
Pandas plotting RadViz! | Tutorial
03:42
Pandas Plotting Parallel Coordinate plots! | Tutorial
05:49
TukeyHSD Made Simple: How to Find Significant Differences in Python!
04:05
Pandas Boxplot | Tutorial
13:13
Chemical data analysis with ChatGPT!