![Brandon Foltz](/img/default-banner.jpg)
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Brandon Foltz
United States
Registrace 10. 08. 2011
Hello, I am Brandon Foltz and welcome to my channel! My tutorials focus on Introductory Statistics, Finite Mathematics, Management Science, Operations Management and Basic Accounting. My videos are full-length lessons...so grab a drink and stick around! :)
If you are on here trying to learn; you are my inspiration. I simply love to learn and I have an insatiable curiosity about the world. Education and sharing knowledge is my passion. While I need to support the channel financially, I am not trying to sell or promote anything but learning. If you subscribe and click the bell icon, you will only get new video notifications.
Some of the problems I work come from textbooks I really like and I highly recommend taking a look at them.
Keep working hard, never stop learning, and thanks for watching!
"You must give some time to your fellow men. Even if it's a little thing, do something for others - something for which you get no pay but the privilege of doing it." - Albert Schweitzer
If you are on here trying to learn; you are my inspiration. I simply love to learn and I have an insatiable curiosity about the world. Education and sharing knowledge is my passion. While I need to support the channel financially, I am not trying to sell or promote anything but learning. If you subscribe and click the bell icon, you will only get new video notifications.
Some of the problems I work come from textbooks I really like and I highly recommend taking a look at them.
Keep working hard, never stop learning, and thanks for watching!
"You must give some time to your fellow men. Even if it's a little thing, do something for others - something for which you get no pay but the privilege of doing it." - Albert Schweitzer
ML 101: Welcome Overview and a Bonkers No-Code Demo Using Orange! 🍊
🚀 Dive into the world of Machine Learning with ease! 🌟 Welcome to our exciting new video series, where we demystify machine learning for beginners and enthusiasts alike.
00:00 Introduction
00:37 Series Overview
02:40 Installing Orange
05:35 Opening Orange
07:07 Loading Data with Dataset Widget in Orange
08:18 Viewing Data with Datatable Widget in Orange
09:58 Loading the Test and Score Widget in Orange
10:57 Running Logistic Regression in Orange
12:22 Running a Classification Tree in Orange
13:00 Machine Learning Madness in Orange
15:52 Creating a Confusion Matrix in Orange
18:18 AUC / ROC Analysis in Orange
20:10 Wrapping Things Up
In this first episode, we introduce you to the powerful, user-friendly tool - Orange! 🍊 No coding? No problem! Whether you're a student, a professional, or just curious about machine learning, this series is crafted for you. Join us on this interactive and fun journey, and start building your machine-learning superpowers today! 🤖✨ Follow along, experiment, and let's make machine learning accessible and enjoyable for everyone. Ready to embark on this adventure? Press play and let's get started! 🎥👩💻
Orange Data Mining: orangedatamining.com/
Orange CZcams Channel: czcams.com/channels/lKKWBe2SCAEyv7ZNGhIe4g.html
Orange Discord: discord.com/invite/FWrfeXV
#machinelearning #datascience #datamining
00:00 Introduction
00:37 Series Overview
02:40 Installing Orange
05:35 Opening Orange
07:07 Loading Data with Dataset Widget in Orange
08:18 Viewing Data with Datatable Widget in Orange
09:58 Loading the Test and Score Widget in Orange
10:57 Running Logistic Regression in Orange
12:22 Running a Classification Tree in Orange
13:00 Machine Learning Madness in Orange
15:52 Creating a Confusion Matrix in Orange
18:18 AUC / ROC Analysis in Orange
20:10 Wrapping Things Up
In this first episode, we introduce you to the powerful, user-friendly tool - Orange! 🍊 No coding? No problem! Whether you're a student, a professional, or just curious about machine learning, this series is crafted for you. Join us on this interactive and fun journey, and start building your machine-learning superpowers today! 🤖✨ Follow along, experiment, and let's make machine learning accessible and enjoyable for everyone. Ready to embark on this adventure? Press play and let's get started! 🎥👩💻
Orange Data Mining: orangedatamining.com/
Orange CZcams Channel: czcams.com/channels/lKKWBe2SCAEyv7ZNGhIe4g.html
Orange Discord: discord.com/invite/FWrfeXV
#machinelearning #datascience #datamining
zhlédnutí: 941
Video
TL;DR 🔊 Introduction to Statistical Learning: Episode 13, Multiple Testing
zhlédnutí 547Před 8 měsíci
🔍 Chapter 13: Multiple Testing - Navigating the Maze of Hypothesis 🔍 0:00 Introduction 0:27 Learning Objectives 0:50 Key Points 1:39 Real-World Application 2:02 Conclusion Step into the labyrinth of Chapter 13, where we untangle the intricate web of multiple testing in the realm of hypothesis testing. This chapter embarks on a quest to illuminate the nuances of p-values, the foundational pillar...
TL;DR 🔊 Introduction to Statistical Learning: Episode 12, Unsupervised Learning
zhlédnutí 411Před 8 měsíci
🔍 Chapter 12: Unsupervised Learning - Discovering the Undiscovered 🔍 Set forth on a journey into Chapter 12, a universe where we do not have a map but aim to chart one. Here, we delve into the intriguing world of unsupervised learning, an arena where patterns emerge without relying on a predefined answer. 0:00 Introduction 0:27 Learning Objectives 0:47 Key Points 1:18 Real-World Application 1:3...
TL;DR 🔊 Calculus III: Episode 7, Second-Order Differential Equations
zhlédnutí 312Před 9 měsíci
Unveiling the Secrets of Second-Order Differential Equations in Chapter 7 📘 Introduction: Embark on a mathematical journey with Chapter 7, which demystifies second-order differential equations. Discover their intricate nature, learn to distinguish between linear and nonlinear types, and explore the superposition principle and its pivotal role in deriving general solutions. 0:00 Introduction 0:3...
TL;DR 🔊 Introduction to Statistical Learning: Episode 11, Survival Analysis and Censored Data
zhlédnutí 374Před 9 měsíci
🕒 Chapter 11: Survival Analysis and Censored Data - The Clock Ticks On 🕒 Chapter 11 pulls back the curtain on the often overlooked yet profoundly impactful realm of survival analysis. Dive into a world where understanding time until an event is not just a number but a story waiting to be unraveled. 0:00 Introduction 0:25 Learning Objectives 0:51 Key Points 1:15 Real-World Application 1:39 Concl...
TL;DR 🔊 Calculus III: Episode 6, Vector Calculus
zhlédnutí 230Před 9 měsíci
Explore the Fundamental Concepts of Vector Calculus in Chapter 6: The Divergence Theorem Introduction: Dive deep into the world of Vector Calculus with Chapter 6, focusing on the Divergence Theorem. Discover its critical role in physics and its applications in various partial differential equations. This chapter is pivotal for grasping the relationship between triple integrals and flux integra...
TL;DR 🔊 Calculus III: Episode 5, Multiple Integration
zhlédnutí 219Před 9 měsíci
Certainly, here's the description for Chapter 5 in the requested format: 📚 Chapter 5: Multiple Integration 🔍 Introduction: Embark on a mathematical expedition into the realm of Multiple Integration 📈. This chapter unveils the powerful techniques for calculating volume, mass, and average values beyond the familiar one-dimensional integrals. Step into the multidimensional space where the integral...
TL;DR 🔊 Calculus III: Episode 4, Differentiation of Functions of Several Variables
zhlédnutí 223Před 9 měsíci
Diving into Multivariable Calculus | Chapter 4: Differentiation of Several Variables 🔍 Introduction: Chapter 4 invites you to the intricate world of multivariable calculus, where partial derivatives become your compass 🧭. With each section, unravel the layers of complexity in functions of several variables and grasp how change occurs along various axes. The chapter paves the way to understandin...
TL;DR 🔊 Introduction to Statistical Learning: Episode 10, Deep Learning
zhlédnutí 366Před 9 měsíci
🚀 Chapter 10: Deep Learning - Diving Deeper into Neural Networks 🚀 Embark on a journey into Chapter 10 and plunge deep into the captivating world of Deep Learning. From the intricacies of neural networks to the vast expanse of real-world applications, explore how this modern tool is shaping the AI revolution! 0:00 Introduction 0:18 Learning Objectives 0:39 Key Points 1:20 Real-World Application...
TL;DR 🔊 Calculus III: Episode 3, Vector-Valued Functions
zhlédnutí 197Před 9 měsíci
TL;DR 🔊 Calculus III: Episode 3, Vector-Valued Functions
TL;DR 🔊 Calculus III: Episode 2, Vectors in Space
zhlédnutí 249Před 9 měsíci
TL;DR 🔊 Calculus III: Episode 2, Vectors in Space
TL;DR 🔊 Calculus III: Episode 1, Parametric Equations and Polar Coordinates
zhlédnutí 457Před 9 měsíci
TL;DR 🔊 Calculus III: Episode 1, Parametric Equations and Polar Coordinates
TL;DR 🔊 Introduction to Statistical Learning: Episode 9, Support Vector Machines
zhlédnutí 302Před 9 měsíci
TL;DR 🔊 Introduction to Statistical Learning: Episode 9, Support Vector Machines
TL;DR 🔊 Calculus II: Episode 7, Parametric Equations and Polar Coordinates
zhlédnutí 167Před 9 měsíci
TL;DR 🔊 Calculus II: Episode 7, Parametric Equations and Polar Coordinates
TL;DR 🔊 Calculus II: Episode 6, Power Series
zhlédnutí 227Před 9 měsíci
TL;DR 🔊 Calculus II: Episode 6, Power Series
TL;DR 🔊 Calculus II: Episode 5, Sequences and Series
zhlédnutí 237Před 9 měsíci
TL;DR 🔊 Calculus II: Episode 5, Sequences and Series
TL;DR 🔊 Introduction to Statistical Learning: Episode 8, Tree-Based Methods
zhlédnutí 368Před 9 měsíci
TL;DR 🔊 Introduction to Statistical Learning: Episode 8, Tree-Based Methods
TL;DR 🔊 Calculus II: Episode 4, Introduction to Differential Equations
zhlédnutí 182Před 9 měsíci
TL;DR 🔊 Calculus II: Episode 4, Introduction to Differential Equations
TL;DR 🔊 Calculus II: Episode 3, Techniques of Integration
zhlédnutí 216Před 9 měsíci
TL;DR 🔊 Calculus II: Episode 3, Techniques of Integration
TL;DR 🔊 Financial Accounting: Episode 16, Statement of Cash Flows
zhlédnutí 242Před 10 měsíci
TL;DR 🔊 Financial Accounting: Episode 16, Statement of Cash Flows
TL;DR 🔊 Calculus II: Episode 2, Applications of Integration
zhlédnutí 262Před 10 měsíci
TL;DR 🔊 Calculus II: Episode 2, Applications of Integration
TL;DR 🔊 Introduction to Statistical Learning: Episode 7, Moving Beyond Linearity
zhlédnutí 321Před 10 měsíci
TL;DR 🔊 Introduction to Statistical Learning: Episode 7, Moving Beyond Linearity
TL;DR 🔊 Financial Accounting: Episode 15, Partnership Accounting
zhlédnutí 193Před 10 měsíci
TL;DR 🔊 Financial Accounting: Episode 15, Partnership Accounting
TL;DR 🔊 Calculus II: Episode 1, Integration
zhlédnutí 394Před 10 měsíci
TL;DR 🔊 Calculus II: Episode 1, Integration
TL;DR 🔊 Financial Accounting: Episode 14, Corporation Accounting
zhlédnutí 200Před 10 měsíci
TL;DR 🔊 Financial Accounting: Episode 14, Corporation Accounting
TL;DR 🔊 Calculus I: Episode 6, Applications of Integration
zhlédnutí 296Před 10 měsíci
TL;DR 🔊 Calculus I: Episode 6, Applications of Integration
TL;DR 🔊 Financial Accounting: Episode 13, Long-Term Liabilities
zhlédnutí 201Před 10 měsíci
TL;DR 🔊 Financial Accounting: Episode 13, Long-Term Liabilities
TL;DR 🔊 Calculus I: Episode 5, Integration
zhlédnutí 304Před 10 měsíci
TL;DR 🔊 Calculus I: Episode 5, Integration
TL;DR 🔊 Introduction to Statistical Learning: Episode 6, Linear Model Selection and Regularization
zhlédnutí 345Před 10 měsíci
TL;DR 🔊 Introduction to Statistical Learning: Episode 6, Linear Model Selection and Regularization
TL;DR 🔊 Financial Accounting: Episode 12, Current Liabilities
zhlédnutí 153Před 10 měsíci
TL;DR 🔊 Financial Accounting: Episode 12, Current Liabilities
As an lnvesting enthusiast, I often wonder how top level investors are able to become millionaires off investing. . I’ve been sitting on over $545K equity from a home sale and I’m not sure where to go from here, is it a good time to buy into stocks or do I wait for another opportunity?
thank you for amazing videos. I couldnt find the excel link you mentioned on youtube on your site
At 16:10 , is that graph skewed to right or left? You were saying that it is skewed to the right but isn't it skewed to the left?
Can you please explain me the "p" value what is it actually and its significance?
Thank you so muchh
👍👍
Thank you vero much! Very clear and vero helpfull!
tha'ts what liberals hate though, that it's always better tips with lower taxes.
but isnt sqrft and no of beds highly correlated? doesnt that introduce multicollinearity into the model ?
😂😂😂😂الله
Love the Namaste ❤
Brandon, how should I visualize multiple regression graph?
No one has ever explained like you. Thank you so much!
Lol i paased statistics exam in 2015 because of you. Then fast forward in 2024, i wanted to learn something in technology from someone who i really enjoy listening to and watching.....and more importantly, someone who I'm sure will be so clear in his explanation. ....and here i am. I haven't watched this video yet. I'll watch it soon and I'm really looking forward to this series. Once again, I can't thank you enough.
Why this channel was not recommended to me earlier !😇
Thank you sir
thank you!!! this was actually a good video. You disected the different part of the equatio so elegantly!! THANKYOU!!!
From my understanding after watching this video and digging into why the C.I. band flares out at the end, it is because as we move further away from the mean towards the extreme of x values. The prediction become less certain because there are fewer data to anchor the model. 😅I am not sure though, just what I understand so far.
Namastey
thanks for the videos man
But where does this formula come from what's the theory behind it ?
when we say "as n gets larger," does n refer to the sample size or the number of samples? at time 13:02
Learning from this video made me imagine SSR as the sponge that absorbs the water from a cup called SST
Great video. Makes me really want to know what a big number for F would be.
😂😮😮😮😮
thank you brandon. you helping in my master's. pls upload for Sigel-Tukey test!!
I am an Accountant preparing for the FRM exam. The reading materials on quantitative analysis is not friendly to starters at all. I finally landed on your videos here, which are really perfect for starters like me.
Thanks for your video. May I know which video did you explain correlation and anova?
Thank you for your videos and for your motivational words at the beginning of the video!
Thank you SO MUCH for such logical explanations! Was struggling with CPA course, but your videos clarify so much! Thank you!
I've never understood Statistics like how i have Just Now...WOW! Thank You ❤️❤️❤️🫂..
Brandon. I watched PL09 & 14. I feel that this information was as good as a paid course. So please accept this special thanks for taking the time to do these incredibly high quality vids. 😊🌎
OMG thank you so much 🙏 I really appreciate your kind words and the super thanks of course. Deeply grateful ☺️
Hi! I have a question, what if the sum of postive is 3 and the negative is 0? What is the W?
You have explained and illustrated one of the most important topics in statistics really well! It’s a great video and highly useful.. Thank you so much!
if all the non-normally distributed variables had been left skewed, would you still have done reflections?
The intro❤😢
hi, i did math stats, anova and regression end of last year, this year i did stochastic and im currently doing time series. I want to deepen my statistics knowlege any sugestions on which courses i should do next?
So helpful, amazingly clear, with an easily followed real-world example
Great job as always
Is that all? Where can I find the full explanation of the chapter ?
Do I have to proceed solving mean and sd if my data isn't normally distributed?
Shouldn't the coefficient of determination be an uppercase R^2 instead of r^2, which would be the coefficient of correlation aka Pearson correlation (19:35 "r^2 Interpretation")? And shouldn't the mean line on the graph on slide ("Bill vs Tip Amount", 21:30) be labeled ybar and not yhat? All that aside I am a HUGE fan of your work, it is majorly saving my bacon.
Great video 🎉
can someone pls explain why there is a+1 in every coloumn and in which conditions will it be used?
Are you talking about the +1 in 'Upper Salary' column?
This is golden.I would be starting my B.statistics this year and wanted to have solid fundamentals. Even though am afraid of chat gpt(ai) it's thanks to it that I got introduced to such a great teacher🤍
Ravishing
Your video/explanations made it really to understand the above topic. Thank you!
Great explanation of Statistics 101. You made it really easy to comprehend.
You explain so well! Thank you for these precious videos!
YO ARE SUPER KOX