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Normalized Nerd
India
Приєднався 1 лют 2019
Hello, people from the future! Welcome to Normalized Nerd!
I love to create educational videos on Machine Learning and Creative Coding. Machine learning and Data Science have changed our world dramatically and will continue to do so. But how do they work? What really happens behind the curtains?... Start learning with me by subscribing to this channel ❤
If you want to help me a bit more you can support me here:
www.buymeacoffee.com/normalizednerd
I love to create educational videos on Machine Learning and Creative Coding. Machine learning and Data Science have changed our world dramatically and will continue to do so. But how do they work? What really happens behind the curtains?... Start learning with me by subscribing to this channel ❤
If you want to help me a bit more you can support me here:
www.buymeacoffee.com/normalizednerd
Standardization vs Normalization Clearly Explained!
Let's understand feature scaling and the differences between standardization and normalization in great detail.
#machinelearning #datascience #artificialintelligence
For more videos please subscribe -
bit.ly/normalizedNERD
Support me if you can ❤️
www.buymeacoffee.com/normalizednerd
Join our discord -
discord.gg/39YYU936RC
Facebook -
nerdywits/
Instagram -
normalizednerd
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#machinelearning #datascience #artificialintelligence
For more videos please subscribe -
bit.ly/normalizedNERD
Support me if you can ❤️
www.buymeacoffee.com/normalizednerd
Join our discord -
discord.gg/39YYU936RC
Facebook -
nerdywits/
Instagram -
normalizednerd
Twitter -
normalized_nerd
Переглядів: 121 041
Відео
GridSearchCV | Hyperparameter Tuning | Machine Learning with Scikit-Learn Python
Переглядів 76 тис.2 роки тому
In this Scikit-Learn learn tutorial I've talked about hyperparameter tuning with grid search. You'll be able to find the optimal set of hyperparameters for any machine learning model using this method! #machinelearning #python #scikitlearn For more videos please subscribe - bit.ly/normalizedNERD Support me if you can ❤️ www.buymeacoffee.com/normalizednerd www.paypal.com/paypalme2/suji04 Source ...
Multiprocessing in Python | Basics to Advanced | Tutorial - 1
Переглядів 18 тис.3 роки тому
In this video, I'll explain the concept of multiprocessing and how to implement multiprocessing in Python3 with multiple real-world scenarios! #python #programming Chapters 0:00 Introduction 0:35 Concept 3:56 Example 1 basic code 9:05 Example 2 prime checking 15:21 Example 3 image downloader Like my work? Support me - www.buymeacoffee.com/normalizednerd For more videos please subscribe - bit.ly...
Covariance Clearly Explained!
Переглядів 73 тис.3 роки тому
Covariance is closely related to Correlation. But what it really says? This video explains covariance with visualizations. #machinelearning #datascience Like my work? Support me - www.buymeacoffee.com/normalizednerd For more videos please subscribe - bit.ly/normalizedNERD Join our discord - discord.gg/39YYU936RC Facebook - nerdywits/ Instagram - normalizednerd Twitte...
Random Forest Algorithm Clearly Explained!
Переглядів 563 тис.3 роки тому
Here, I've explained the Random Forest Algorithm with visualizations. You'll also learn why the random forest is more robust than decision trees. #machinelearning #datascience For more videos please subscribe - bit.ly/normalizedNERD Join our discord - discord.gg/39YYU936RC Facebook - nerdywits/ Instagram - normalizednerd Twitter - normalized_nerd
What's my Data Science background? QnA | NORMALIZED NERD
Переглядів 8 тис.3 роки тому
So, here's my first #QnA video! If you wanna see more such videos, please subscribe - bit.ly/normalizedNERD Facebook - nerdywits/ Instagram - normalizednerd Twitter - normalized_nerd ML models from scratch - ua-cam.com/play/PLM8wYQRetTxAIU0oOarQeW2WOeYV9LyuG.html #normalizednerd
Markov Chains: Simulation in Python | Stationary Distribution Computation | Part - 7
Переглядів 44 тис.3 роки тому
So far we have a fair knowledge of Markov Chains. But how to implement this? Here, I've coded a Markov Chain from scratch and I've mentioned 3 different ways of computing the stationary distribution! #markovchain #datascience #python Like my work? Support me - www.buymeacoffee.com/normalizednerd For more videos please subscribe - bit.ly/normalizedNERD Notebook - github.com/Suji04/NormalizedNerd...
Forward Algorithm Clearly Explained | Hidden Markov Model | Part - 6
Переглядів 126 тис.3 роки тому
So far we have seen Hidden Markov Models. Let's move one step further. Here, I'll explain the Forward Algorithm in such a way that you'll feel you could have invented it! #markovchain #datascience #statistics Like my work? Support me - www.buymeacoffee.com/normalizednerd For more videos please subscribe - bit.ly/normalizedNERD Markov Chain series - ua-cam.com/play/PLM8wYQRetTxBkdvBtz-gw8b9lcVkd...
Naive Bayes Classifier in Python (from scratch!)
Переглядів 83 тис.3 роки тому
Let's create a Naive Bayes classifier with barebone NumPy and Pandas! You'll learn how to deal with continuous features and other implementation details. #machinelearning #datascience #python For more videos please subscribe - bit.ly/normalizedNERD Join our discord - discord.gg/39YYU936RC Bayesian classifier concept video - ua-cam.com/video/lFJbZ6LVxN8/v-deo.html Source code - github.com/Suji04...
Decision Tree Regression in Python (from scratch!)
Переглядів 34 тис.3 роки тому
How about creating a decision tree regressor without using sci-kit learn? This video will show you how to code a decision tree to solve regression problems from scratch! #machinelearning #datascience #python For more videos please subscribe - bit.ly/normalizedNERD Love my work? Support me - www.buymeacoffee.com/normalizednerd Join our discord - discord.gg/39YYU936RC Source code - github.com/Suj...
Decision Tree Regression Clearly Explained!
Переглядів 136 тис.3 роки тому
Here, I've explained how to solve a regression problem using Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision tree regressor from scratch. #machinelearning #datascience For more videos please subscribe - bit.ly/normalizedNERD Decision Tree previous video - ua-cam.com/video/ZVR2Way4nwQ/v-deo.html Love my wo...
Decision Tree Classification in Python (from scratch!)
Переглядів 181 тис.3 роки тому
This video will show you how to code a decision tree classifier from scratch! #machinelearning #datascience #python For more videos please subscribe - bit.ly/normalizedNERD Join our discord - discord.gg/39YYU936RC Source code - github.com/Suji04/ML_from_Scratch/blob/master/decision tree classification.ipynb ML algorithms from scratch - ua-cam.com/play/PLM8wYQRetTxAIU0oOarQeW2WOeYV9LyuG.html Ref...
Decision Tree Classification Clearly Explained!
Переглядів 624 тис.3 роки тому
Here, I've explained Decision Trees in great detail. You'll also learn the math behind splitting the nodes. The next video will show you how to code a decision tree classifier from scratch. #machinelearning #datascience For more videos please subscribe - bit.ly/normalizedNERD Join our discord - discord.gg/39YYU936RC Facebook - nerdywits/ Instagram - normalizednerd Tw...
Watch this to learn Machine Learning in 2021!
Переглядів 3,5 тис.3 роки тому
Here is a complete guide for learning Machine Learning in 2021. I've included everything that I've learned from my journey. #machinelearning #roadmap #artificialintelligence Join our discord - discord.gg/39YYU936RC For more videos please subscribe - bit.ly/normalizedNERD Facebook - nerdywits/ Instagram - normalizednerd Twitter - normalized_nerd
Hidden Markov Model Clearly Explained! Part - 5
Переглядів 433 тис.3 роки тому
So far we have discussed Markov Chains. Let's move one step further. Here, I'll explain the Hidden Markov Model with an easy example. I'll also show you the underlying mathematics. #markovchain #datascience #statistics For more videos please subscribe - bit.ly/normalizedNERD Markov Chain series - ua-cam.com/play/PLM8wYQRetTxBkdvBtz-gw8b9lcVkdXQKV.html Facebook - nerdywits/ Instagra...
Markov Chains: Generating Sherlock Holmes Stories | Part - 4
Переглядів 88 тис.3 роки тому
Markov Chains: Generating Sherlock Holmes Stories | Part - 4
Markov Chains: n-step Transition Matrix | Part - 3
Переглядів 195 тис.3 роки тому
Markov Chains: n-step Transition Matrix | Part - 3
Markov Chains: Recurrence, Irreducibility, Classes | Part - 2
Переглядів 266 тис.3 роки тому
Markov Chains: Recurrence, Irreducibility, Classes | Part - 2
Markov Chains Clearly Explained! Part - 1
Переглядів 1,2 млн3 роки тому
Markov Chains Clearly Explained! Part - 1
Monte Carlo Simulation with Card Games
Переглядів 50 тис.3 роки тому
Monte Carlo Simulation with Card Games
Gambler's Fallacy vs Regression toward the Mean
Переглядів 6 тис.3 роки тому
Gambler's Fallacy vs Regression toward the Mean
The Central Limit Theorem Clearly Explained!
Переглядів 8 тис.3 роки тому
The Central Limit Theorem Clearly Explained!
MegaFavNumbers - 115,132,219,018,763,992,565,095,597,973,971,522,401 is the last of its kind!
Переглядів 3,3 тис.3 роки тому
MegaFavNumbers - 115,132,219,018,763,992,565,095,597,973,971,522,401 is the last of its kind!
Why do we need Cross Entropy Loss? (Visualized)
Переглядів 46 тис.3 роки тому
Why do we need Cross Entropy Loss? (Visualized)
The Math Behind Bayesian Classifiers Clearly Explained!
Переглядів 85 тис.3 роки тому
The Math Behind Bayesian Classifiers Clearly Explained!
Top 11 Pandas Tricks Every Data Science Lover Should Know
Переглядів 7 тис.3 роки тому
Top 11 Pandas Tricks Every Data Science Lover Should Know
GAN Generates English & Bengali Alphabets | How to Train a GAN?
Переглядів 2,5 тис.3 роки тому
GAN Generates English & Bengali Alphabets | How to Train a GAN?
The Math Behind Generative Adversarial Networks Clearly Explained!
Переглядів 73 тис.4 роки тому
The Math Behind Generative Adversarial Networks Clearly Explained!
A.I. Evolves to Play Hit the Ball | Neural Network + Genetic Algorithm
Переглядів 2,9 тис.4 роки тому
A.I. Evolves to Play Hit the Ball | Neural Network Genetic Algorithm
thank you so much
Good
Great video
brilliant!
Very concise 💞💞💞
Can it be applied in the context of political risk and non linear complex systems to make predictions?
Amazing explanation! Thank you. The datasets get normalized just like the speaker! (a joke, couldn't help it)
Well Explained!!
Thank you sir for this crystal clear explanation.
You are a saint. Please please please do more of those, I've been chronically online for 10+ years and have watched so many educational videos on UA-cam in my time during school and uni and you are the best explainer out there. 3blue1brown on Indian steroids hope you're everything is going well 💕
It reminds me of mia malkova
Thank you so much
tasty examples. hotdogs, pizza, hamburgers....and pi for dessert.
Thank you!
Thx a lot, Im people from the future😂
excellent.
If we get 2 zeroes and 2 ones in aggregation what we should do... Which label we should take
It's OK, but there are small mistakes and inaccuracies
thenk you.
Thanks Sujan for the excellent tutorial on the math behind GANs. I just started learning about GANs today, and cleared my eyes on the subject.Kudos!
Thank you sir
For anyone wondering. this is not ID3 because ID3 only works for data sets with categorical attributes, its neither C4.5 because that one generates possibly a general tree and handles both numeric and categorical attributes, and here the algorithm presented generates a binary tree, most close to CART, but CART its for regression and classification, so the guy developed his own algorithm
Thank you well explained
This excellence sounds indian ❤😂
Very clear explanation!! This is the first time I understood the words "bagging"!
Perfectly lucid explanation, keep the high quality content up
Got an exposé in a few minutes. This has all I need. Thanks 👍🏾 God bless
Can someone here help me with my data preprocessing project or know where i can find help? I am so stuck and cant get over 70%. i really wann do well but dont really know what else do in preprocessing
Brilliant explanation. Well done :)
intuitive example and clear explanation thank you
how to do videos like this ?
what is the base for the logarithm
Thank you so much for the awesome explanation!
I apologize for being more confused than I have ever been.
This is the Best resource fo gan i've come across so far. Very detailed explanation with complicating the terms. You are a life saver! . thank you
What 36 and 74 means at 13:49?
tyvm
yes ty
I just love your channel name so much
amazing video. Loved it!!
I wasn't convinced of the quality of the vids, but after this, the channel deservers a subscribe.
4:14 how did u calculate the decision trees
does it take care of outlier data points?
greeeat
thanks!
2023年中国全国乙卷最后一题高考题。。。。。。😂
Great teaching NERD. I AM a doctor from INDIA and need your help in deriving HEART transplant models -MGM hospital CHENNAI. Pls share email
Superb i dont know anything and i see 5 videos already but u nailed it bro
Thank you very much! You are a talented pedagogue, and your videos are easy to follow and satisfyingly informative.
Great video!