Brandon Foltz
Brandon Foltz
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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 UA-cam Channel: ua-cam.com/channels/lKKWBe2SCAEyv7ZNGhIe4g.html
Orange Discord: discord.com/invite/FWrfeXV
#machinelearning #datascience #datamining
Переглядів: 856

Відео

TL;DR 🔊 Introduction to Statistical Learning: Episode 13, Multiple Testing
Переглядів 4906 місяців тому
🔍 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
Переглядів 3706 місяців тому
🔍 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
Переглядів 2896 місяців тому
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
Переглядів 3516 місяців тому
🕒 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
Переглядів 2136 місяців тому
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
Переглядів 2106 місяців тому
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
Переглядів 2157 місяців тому
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
Переглядів 3377 місяців тому
🚀 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
Переглядів 1897 місяців тому
TL;DR 🔊 Calculus III: Episode 3, Vector-Valued Functions
TL;DR 🔊 Calculus III: Episode 2, Vectors in Space
Переглядів 2347 місяців тому
TL;DR 🔊 Calculus III: Episode 2, Vectors in Space
TL;DR 🔊 Calculus III: Episode 1, Parametric Equations and Polar Coordinates
Переглядів 4157 місяців тому
TL;DR 🔊 Calculus III: Episode 1, Parametric Equations and Polar Coordinates
TL;DR 🔊 Introduction to Statistical Learning: Episode 9, Support Vector Machines
Переглядів 2857 місяців тому
TL;DR 🔊 Introduction to Statistical Learning: Episode 9, Support Vector Machines
TL;DR 🔊 Calculus II: Episode 7, Parametric Equations and Polar Coordinates
Переглядів 1597 місяців тому
TL;DR 🔊 Calculus II: Episode 7, Parametric Equations and Polar Coordinates
TL;DR 🔊 Calculus II: Episode 6, Power Series
Переглядів 2237 місяців тому
TL;DR 🔊 Calculus II: Episode 6, Power Series
TL;DR 🔊 Calculus II: Episode 5, Sequences and Series
Переглядів 2367 місяців тому
TL;DR 🔊 Calculus II: Episode 5, Sequences and Series
TL;DR 🔊 Introduction to Statistical Learning: Episode 8, Tree-Based Methods
Переглядів 3507 місяців тому
TL;DR 🔊 Introduction to Statistical Learning: Episode 8, Tree-Based Methods
TL;DR 🔊 Calculus II: Episode 4, Introduction to Differential Equations
Переглядів 1777 місяців тому
TL;DR 🔊 Calculus II: Episode 4, Introduction to Differential Equations
TL;DR 🔊 Calculus II: Episode 3, Techniques of Integration
Переглядів 2027 місяців тому
TL;DR 🔊 Calculus II: Episode 3, Techniques of Integration
TL;DR 🔊 Financial Accounting: Episode 16, Statement of Cash Flows
Переглядів 2217 місяців тому
TL;DR 🔊 Financial Accounting: Episode 16, Statement of Cash Flows
TL;DR 🔊 Calculus II: Episode 2, Applications of Integration
Переглядів 2507 місяців тому
TL;DR 🔊 Calculus II: Episode 2, Applications of Integration
TL;DR 🔊 Introduction to Statistical Learning: Episode 7, Moving Beyond Linearity
Переглядів 3127 місяців тому
TL;DR 🔊 Introduction to Statistical Learning: Episode 7, Moving Beyond Linearity
TL;DR 🔊 Financial Accounting: Episode 15, Partnership Accounting
Переглядів 1707 місяців тому
TL;DR 🔊 Financial Accounting: Episode 15, Partnership Accounting
TL;DR 🔊 Calculus II: Episode 1, Integration
Переглядів 3657 місяців тому
TL;DR 🔊 Calculus II: Episode 1, Integration
TL;DR 🔊 Financial Accounting: Episode 14, Corporation Accounting
Переглядів 1857 місяців тому
TL;DR 🔊 Financial Accounting: Episode 14, Corporation Accounting
TL;DR 🔊 Calculus I: Episode 6, Applications of Integration
Переглядів 2887 місяців тому
TL;DR 🔊 Calculus I: Episode 6, Applications of Integration
TL;DR 🔊 Financial Accounting: Episode 13, Long-Term Liabilities
Переглядів 1827 місяців тому
TL;DR 🔊 Financial Accounting: Episode 13, Long-Term Liabilities
TL;DR 🔊 Calculus I: Episode 5, Integration
Переглядів 3008 місяців тому
TL;DR 🔊 Calculus I: Episode 5, Integration
TL;DR 🔊 Introduction to Statistical Learning: Episode 6, Linear Model Selection and Regularization
Переглядів 3338 місяців тому
TL;DR 🔊 Introduction to Statistical Learning: Episode 6, Linear Model Selection and Regularization
TL;DR 🔊 Financial Accounting: Episode 12, Current Liabilities
Переглядів 1488 місяців тому
TL;DR 🔊 Financial Accounting: Episode 12, Current Liabilities

КОМЕНТАРІ

  • @boatraft
    @boatraft 2 дні тому

    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.

  • @eliosgreek8028
    @eliosgreek8028 3 дні тому

    Great video 🎉

  • @aarohirai3534
    @aarohirai3534 3 дні тому

    can someone pls explain why there is a+1 in every coloumn and in which conditions will it be used?

    • @NcFightoBoy
      @NcFightoBoy 15 годин тому

      Are you talking about the +1 in 'Upper Salary' column?

  • @NcFightoBoy
    @NcFightoBoy 4 дні тому

    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🤍

  • @dr.satyabratasahoo5644
    @dr.satyabratasahoo5644 4 дні тому

    Ravishing

  • @BeatriceDosu
    @BeatriceDosu 4 дні тому

    Your video/explanations made it really to understand the above topic. Thank you!

  • @BeatriceDosu
    @BeatriceDosu 4 дні тому

    Great explanation of Statistics 101. You made it really easy to comprehend.

  • @kalyanirajalingham1286
    @kalyanirajalingham1286 9 днів тому

    You explain so well! Thank you for these precious videos!

  • @kamiloweluckypanczoweblend1957
    @kamiloweluckypanczoweblend1957 10 днів тому

    YO ARE SUPER KOX

  • @mattmack8103
    @mattmack8103 11 днів тому

    Excellent high-level overview of histograms, very straight forward and simple.

  • @Fabian19840721
    @Fabian19840721 11 днів тому

    Brandon you're the absolute best! Thank you so much.

  • @JamesBehn-pl4li
    @JamesBehn-pl4li 11 днів тому

    Great introduction to Histograms.

  • @sowmiya__r
    @sowmiya__r 11 днів тому

    Perfectly explained. Thank you so much!

  • @zhlen
    @zhlen 12 днів тому

    I don't get it in the histogram at 19:22. why is there 10 and 11 while no these numbers in the graph at 17:46?

  • @EmilyWalk-nm5ky
    @EmilyWalk-nm5ky 12 днів тому

    I got so stuck in this part as well as all the formulas and this has helped me so far very well. I am really struggling with the formulas and algebra of it and I am behind on assignments because of that. This plainly explained linear regression and helped me a ton. Thank you!

  • @mylinahmad3335
    @mylinahmad3335 14 днів тому

    Thank you

  • @isabellaruso6282
    @isabellaruso6282 14 днів тому

    hi, i'm confused how you got 3.699

  • @evafeng-hx7gr
    @evafeng-hx7gr 15 днів тому

    this is the best video that I've ever seen for time series thanks alot

  • @prasannabhat6047
    @prasannabhat6047 19 днів тому

    THANK YOU

  • @coryanders6328
    @coryanders6328 19 днів тому

    I'm so confused as to where these standard deviation numbers are coming from.

  • @NoraShi-di2dr
    @NoraShi-di2dr 20 днів тому

    Thank you for the sweet pep talk and your hard work!!

  • @simondixon6586
    @simondixon6586 20 днів тому

    Great videos! One question though. If you don't have minitab or SPSS (which are expensive) how can you use Excel to calculate the comparative statistics? Do you have a video for that?

  • @wooddog007
    @wooddog007 21 день тому

    @23:30 ... you have a typo in your slide. you say verbally we can't reject the null, but you slide says we would reject the null

  • @asstrole
    @asstrole 23 дні тому

    These visuals are extremely helpful and give the student a completely different take on ANOVA than many other teaching resources. Very helpful--very grateful

  • @crystalbelot5885
    @crystalbelot5885 24 дні тому

    I miss the positive reinforcement at the start. It was nice to hear 😅

    • @crystalbelot5885
      @crystalbelot5885 24 дні тому

      Thank you for breaking everything down visually 🙏

  • @mpandesyambayi5898
    @mpandesyambayi5898 25 днів тому

    Wouldn't it be right to use Z- table to find the probability having found the Z_Value?

  • @NadeejaRanasinghe
    @NadeejaRanasinghe 26 днів тому

    I am so thankful I ran into this video. You explained a complex subject so easily. Thank you so much!

  • @chukwudubemidoko
    @chukwudubemidoko 28 днів тому

    Brandon, I am grateful for this video. It is very clear and understandable. I want to ask your favour, the graph in the closing part looks very good and can animate these iterations. Can you make a video to show how the graph was plotted? Thanks.

  • @Unaimend
    @Unaimend Місяць тому

    Just watched every Statistics 101 video in your series until this one. THANK YOU SOOO MUCH FOR MAKiNG THOSE

  • @shreyanshishukla6309
    @shreyanshishukla6309 Місяць тому

    I found very difficult to understand statistical use in research. your video makes it easy to understand the basic concepts. Pease Keep Uploading videos

  • @johannlieberwirth4814
    @johannlieberwirth4814 Місяць тому

    Hi, from what I've read in other resources the SS_residuals is what you named SSE here. This could lead to some confusion. Besides, great video!

  • @muditbelwal3960
    @muditbelwal3960 Місяць тому

    I love how EVERYONE appreciated that intro, it really made my day. Thanks dude!

  • @cutestbear3327
    @cutestbear3327 Місяць тому

    not only have I learned more about forward selection, I feel like I have taken a masterclass on how to present information in a clear and concise manner. Thank you very much Mr. Foltz.

  • @alexthelion98486
    @alexthelion98486 Місяць тому

    The legend is back! Thank you Sir

  • @phowops
    @phowops Місяць тому

    What an amazing explanation! Love it!!

  • @notassip
    @notassip Місяць тому

    🎯 Key Takeaways for quick navigation: 01:00 *🎲 Introduction and overview of the video content* - Video aimed at individuals new to Stats or finite mathematics - Concepts in the video applicable to both statistics and finite mathematics - Focus on extending the discussion on discrete random variables to variance and standard deviation 02:27 *🔍 Understanding the variability in random variables through variance and standard deviation* - Variance and standard deviation measure the spread of data from the mean - Importance of variance in making statistical assumptions about data - Use of variance in comparing data sets and drawing conclusions 04:07 *📊 Equation and calculation of variance explained* - Breakdown of variance calculation formula - Importance of understanding each step in the variance calculation process - Application of the variance formula to discrete random variables 08:22 *🎲 Example with a die roll and calculation of mean, variance, and standard deviation* - Mean of a die roll explained - Calculation process for variance in a die roll scenario - Relationship between variance, standard deviation, and the mean in the context of a die roll 11:36 *📈 Example with class satisfaction surveys and calculation of variance and standard deviation* - Calculation of variance in the context of class satisfaction surveys - Interpretation of variance and standard deviation in relation to expected value - Visual representation of probability distribution skewed towards higher satisfaction levels Made with HARPA AI

  • @kkokonadggupta390
    @kkokonadggupta390 Місяць тому

    Hello Sir, I'm a student ; I wanted to know if there any scope/way to do project-type work under your assistance??

  • @mikemuchimba2825
    @mikemuchimba2825 Місяць тому

    I will finish the entire course. Good material.

  • @anonymousperson4466
    @anonymousperson4466 Місяць тому

    beautiful video..... had been scratching my head since a week finally found something good

  • @Wrapped01
    @Wrapped01 Місяць тому

    Do I understand this correctly that the number of records would just cancel out and we are basically just summing the error of our forecast divided by the error of the naive forecast?

  • @carolharris2401
    @carolharris2401 Місяць тому

    I really wish I had discovered your videos along time ago. It would have saved me a lot of confusion and frustration. Thank you!!!

  • @RA3gamer
    @RA3gamer Місяць тому

    questio around 13:06 how to get the mean of x??? how did you get 74?

  • @ritiksharma2127
    @ritiksharma2127 Місяць тому

    can anyone tell why we have used population standard deviation in sample standard deviation formula?

  • @coconutart6874
    @coconutart6874 Місяць тому

    One of the best videos I've seen on the subject Thank you!

  • @pipb1426
    @pipb1426 Місяць тому

    This is such an amazing resource. Thank you for explaining things so clearly and teaching excellently

  • @arnavgupta7392
    @arnavgupta7392 Місяць тому

    Beautifully explained. Made it so simple to understand. Grateful!

  • @estherkaemba9239
    @estherkaemba9239 Місяць тому

    Thank Brandon

  •  Місяць тому

    thank you

  • @selenawilliams2611
    @selenawilliams2611 Місяць тому

    really appreciate how encouraging you are and how concrete you make it

  • @selenawilliams2611
    @selenawilliams2611 Місяць тому

    this was so helpful thank you!!!!!