biometricDahboard3 DEMO

Shaw Talebi · Intermediate ·📊 Data Analytics & Business Intelligence ·5y ago
Demo of Fall 2020 UTDesign Project. This is the 3rd iteration of an ongoing project to visualize biometric data in real-time. Application was implemented with Python using Bokeh. The project was sponsored by the Center for Multi-scale Integrated Intelligent Interactive Sensing (MINTS). Student developers: Vihasreddy Gowreddy, Madhav Mehta, Ryan Rahman, Arjun Sridhar, Rohit Shenoy GitHub: https://github.com/mi3nts/biometricDashboard3 Project website: https://mi3nts.github.io/biometricDashboard3/ GitHub for 1st Iteration: https://github.com/amnaaaaali/UTDMINTS_BiometricDataApp GitHub for 2nd …
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1 biometricDashboard2 DEMO
biometricDashboard2 DEMO
Shaw Talebi
 ▶ biometricDahboard3 DEMO
biometricDahboard3 DEMO
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 3 Time Series, Signals, & the Fourier Transform | Introduction
Time Series, Signals, & the Fourier Transform | Introduction
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 4 The Fast Fourier Transform | How does it (actually) work?
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 5 The Wavelet Transform | Introduction & Example Code
The Wavelet Transform | Introduction & Example Code
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 6 Principal Component Analysis (PCA) | Introduction & Example (Python) Code
Principal Component Analysis (PCA) | Introduction & Example (Python) Code
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 7 Independent Component Analysis (ICA) | EEG Analysis Example Code
Independent Component Analysis (ICA) | EEG Analysis Example Code
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 8 Kmeans-based Blink Detecter DEMO
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 9 Shit Happens, Stay Solution Oriented
Shit Happens, Stay Solution Oriented
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 10 Why Conflict Is Good & How You Can Use It
Why Conflict Is Good & How You Can Use It
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 11 Causality: An Introduction | How (naive) statistics can fail us
Causality: An Introduction | How (naive) statistics can fail us
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 12 Causal Inference | Answering causal questions
Causal Inference | Answering causal questions
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 13 Causal Discovery | Inferring causality from observational data
Causal Discovery | Inferring causality from observational data
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 14 How to Be Antifragile | 7 Practical Tips
How to Be Antifragile | 7 Practical Tips
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 15 Multi-kills: How to Do More With Less (no, not by multi-tasking)
Multi-kills: How to Do More With Less (no, not by multi-tasking)
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 16 Topological Data Analysis (TDA) | An introduction
Topological Data Analysis (TDA) | An introduction
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 17 The Mapper Algorithm | Overview & Python Example Code
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 18 Persistent Homology | Introduction & Python Example Code
Persistent Homology | Introduction & Python Example Code
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 19 What Is Data Science & How To Start? | A Beginner's Guide
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 20 It’s not DANGER behind the fear of conflict, but uncertainty
It’s not DANGER behind the fear of conflict, but uncertainty
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 21 The Achievement TRAP
The Achievement TRAP
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 22 How to be more ANTI-FRAGILE
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 23 How to do MORE with LESS - multikills
How to do MORE with LESS - multikills
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 24 How to STAY dumb
How to STAY dumb
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 25 Causal Effects | An introduction
Causal Effects | An introduction
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 26 Causal Effects via Propensity Scores | Introduction & Python Code
Causal Effects via Propensity Scores | Introduction & Python Code
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 27 Causal Effects via the Do-operator | Overview & Example
Causal Effects via the Do-operator | Overview & Example
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 28 Causal Effects via DAGs | How to Handle Unobserved Confounders
Causal Effects via DAGs | How to Handle Unobserved Confounders
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 29 Smoothing Crypto Time Series with Wavelets | Real-world Data Project
Smoothing Crypto Time Series with Wavelets | Real-world Data Project
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 30 Causal Effects via Regression w/ Python Code
Causal Effects via Regression w/ Python Code
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 31 5 Reasons Why Every Data Scientist Should Consider Freelancing
5 Reasons Why Every Data Scientist Should Consider Freelancing
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 32 An Introduction to Decision Trees | Gini Impurity & Python Code
An Introduction to Decision Trees | Gini Impurity & Python Code
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 33 10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
10 Decision Trees are Better Than 1 | Random Forest & AdaBoost
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 34 Dimensionality Reduction & Segmentation with Decision Trees | Python Code
Dimensionality Reduction & Segmentation with Decision Trees | Python Code
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 35 How to Make a Data Science Portfolio With GitHub Pages (2025)
How to Make a Data Science Portfolio With GitHub Pages (2025)
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 36 My $100,000+ Data Science Resume (what got me hired)
My $100,000+ Data Science Resume (what got me hired)
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 37 How to Create a Custom Email Signature in Gmail (2025)
How to Create a Custom Email Signature in Gmail (2025)
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 38 I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
I Spent $675.92 Talking to Top Data Scientists on Upwork—Here’s what I learned
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 39 Lessons from Spending $675.92 to Talk to Top Data Scientists on Upwork #freelance #datascience
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 40 A physicist edited this video #physics #datascience #curiosity
A physicist edited this video #physics #datascience #curiosity
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 41 How to learn Causal Inference with #python #dataanalysis #datascience
How to learn Causal Inference with #python #dataanalysis #datascience
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 42 Being fragile means you have more downside than upside. #antifragile #mythology
Being fragile means you have more downside than upside. #antifragile #mythology
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 43 When you’re robust, your environment can’t hurt you #antifragile #resilience
When you’re robust, your environment can’t hurt you #antifragile #resilience
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 44 A Practical Introduction to Large Language Models (LLMs)
A Practical Introduction to Large Language Models (LLMs)
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 45 The more they hurt you, the stronger you get #antifragile
The more they hurt you, the stronger you get #antifragile
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 46 The OpenAI (Python) API | Introduction & Example Code
The OpenAI (Python) API | Introduction & Example Code
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 47 The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
The Hugging Face Transformers Library | Example Code + Chatbot UI with Gradio
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 48 Why I Quit My $150,000 Data Science Job
Why I Quit My $150,000 Data Science Job
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 49 Prompt Engineering: How to Trick AI into Solving Your Problems
Prompt Engineering: How to Trick AI into Solving Your Problems
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 50 The REALITY of entrepreneurship. #entrepreneurship #startup #smallbusiness
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 51 Fine-tuning Large Language Models (LLMs) | w/ Example Code
Fine-tuning Large Language Models (LLMs) | w/ Example Code
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 52 How to Build an LLM from Scratch | An Overview
How to Build an LLM from Scratch | An Overview
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 53 I Have 90 Days to Make $10k/mo—Here's my plan
I Have 90 Days to Make $10k/mo—Here's my plan
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 54 I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
I Spent $716.46 Talking to Data Scientists on Upwork—Here’s what I learned.
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 55 Pareto, Power Laws, and Fat Tails
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 56 DON’T study Gen AI #generativeai
DON’T study Gen AI #generativeai
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 57 Do NOT become an entrepreneur #entrepreneurship
Do NOT become an entrepreneur #entrepreneurship
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 58 Detecting Power Laws in Real-world Data | w/ Python Code
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 59 How to Move Toward Your DREAM LIFE #getpaidtolive
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 60 How I’d learn data analytics (if I had to start over in 2024) #dataanalytics
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