Gradient Descent | Deep Learning basics
8:44
Gradient Descent | Deep Learning basics
7 сағат бұрын
Batch Normalization in Neural Networks | Deep Learning basics
11:56
Batch Normalization in Neural Networks | Deep Learning basics
14 сағат бұрын
Neural Networks throw their weights around 😊 | Xavier & He Initialization | Deep Learning basics
9:42
Neural Networks throw their weights around 😊 | Xavier & He Initialization | Deep Learning basics
19 сағат бұрын
Importance of Weight Initialization in Neural Networks | Deep Learning basics
9:57
Importance of Weight Initialization in Neural Networks | Deep Learning basics
Күн бұрын
All-in-one Activation Functions | Sigmoid, tanh, ReLU, Leaky ReLU, ELU, Swish | Deep Learning basics
13:04
All-in-one Activation Functions | Sigmoid, tanh, ReLU, Leaky ReLU, ELU, Swish | Deep Learning basics
Күн бұрын
Activation functions | Better Neural Networks | Deep Learning basics
11:08
Activation functions | Better Neural Networks | Deep Learning basics
14 күн бұрын
Importance of Activation Functions in Neural Networks | Deep Learning basics
7:25
Importance of Activation Functions in Neural Networks | Deep Learning basics
14 күн бұрын
Where and how to find the best datasets? | Data Science
6:22
Where and how to find the best datasets? | Data Science
14 күн бұрын
Getting started with Neural Networks
10:50
Getting started with Neural Networks
21 күн бұрын
The evolution of Perceptrons: From Sigmoid to Multilayer marvels
9:06
The evolution of Perceptrons: From Sigmoid to Multilayer marvels
21 күн бұрын
The journey of a neuron | Geometric intuition
10:07
The journey of a neuron | Geometric intuition
21 күн бұрын
The journey of a neuron | The Perceptron
5:57
The journey of a neuron | The Perceptron
28 күн бұрын
The journey of a neuron | McCulloch Pitts Neuron
7:37
The journey of a neuron | McCulloch Pitts Neuron
Ай бұрын
Kano model
6:29
Kano model
Ай бұрын
What's the difference? | Data Science vs Data Analytics
2:16
What's the difference? | Data Science vs Data Analytics
Ай бұрын
Tracing the roots of Data Science
3:14
Tracing the roots of Data Science
Ай бұрын
Python hands-on tutorial: Lambda Functions | Lambda Expressions
11:05
Python hands-on tutorial: Lambda Functions | Lambda Expressions
Ай бұрын
The better Hyperparameter Tuning using Bayesian Search & Optuna
10:03
The better Hyperparameter Tuning using Bayesian Search & Optuna
Ай бұрын
Bayesian Search | The better Hyperparameter Tuning approach
7:25
Bayesian Search | The better Hyperparameter Tuning approach
Ай бұрын
Hands-on Hyperparameter Tuning | Randomized Search
8:21
Hands-on Hyperparameter Tuning | Randomized Search
Ай бұрын
Hands-on Hyperparameter Tuning | Grid Search
10:36
Hands-on Hyperparameter Tuning | Grid Search
Ай бұрын
Hyperparameter Tuning | Grid Search | Randomized Search
5:52
Hyperparameter Tuning | Grid Search | Randomized Search
Ай бұрын
Ensemble Machine Learning Technique: Blending & Stacking
7:53
Ensemble Machine Learning Technique: Blending & Stacking
Ай бұрын
Ensemble Machine Learning Technique: Boosting
4:14
Ensemble Machine Learning Technique: Boosting
Ай бұрын
Ensemble Machine Learning Technique: Voting
5:44
Ensemble Machine Learning Technique: Voting
Ай бұрын
Ensemble Machine Learning Technique: Bagging | Bootstrap Aggregation
9:12
Ensemble Machine Learning Technique: Bagging | Bootstrap Aggregation
2 ай бұрын
Ensemble Machine Learning Techniques
11:15
Ensemble Machine Learning Techniques
2 ай бұрын
Getting the best results from your ML models | Youden's Index
7:45
Getting the best results from your ML models | Youden's Index
2 ай бұрын
Recall vs Precision | Which is a better model performance metric?
7:03
Recall vs Precision | Which is a better model performance metric?
2 ай бұрын
Пікірлер
@abdolrahimtooraanian5615
@abdolrahimtooraanian5615 3 күн бұрын
Thanks!!!
@sairamteja6785
@sairamteja6785 3 күн бұрын
thanks man so for the best explanation i have seen
@trustoriakhi5786
@trustoriakhi5786 3 күн бұрын
Thank you so much for your content
@Abdulmoiz-lx8vv
@Abdulmoiz-lx8vv 6 күн бұрын
boss
@pradeepmallampalli4541
@pradeepmallampalli4541 7 күн бұрын
Well explained, Thanks for your work
@prosmartanalytics
@prosmartanalytics 7 күн бұрын
Glad it was helpful!😊
@idrees7861000
@idrees7861000 7 күн бұрын
great learning video, it help me in my assignment
@prosmartanalytics
@prosmartanalytics 7 күн бұрын
Glad it helped!
@Someoneelse_XD
@Someoneelse_XD 9 күн бұрын
Most underrated problem in data science. I have seen so many models deployed into production, never delivered any value because of this.
@sreelakshmikb3927
@sreelakshmikb3927 12 күн бұрын
Thank you , this was a saver
@prosmartanalytics
@prosmartanalytics 12 күн бұрын
Thank you! Glad it helped.
@ryanmwise1
@ryanmwise1 13 күн бұрын
This is an important question and a great explanation. Thank you! I'd love to see a follow up video that gives an example of how non-linear activation functions help a NN actually fit a non-linear function.
@menrmennotwomenlul
@menrmennotwomenlul 15 күн бұрын
Bruh I just found your channel and this is an absolute goldmine. Thank you so much for the videos
@prosmartanalytics
@prosmartanalytics 15 күн бұрын
Thank you! Stay tuned, there's a lot more coming your way. 😊
@user-qv7on3dl9y
@user-qv7on3dl9y 15 күн бұрын
Should the 2/4 not be 3/4 in the second part of the equation as are they not independent. Ie 2 different scenarios that we are adding as possible probabilities? at 21 min 31 sec
@prosmartanalytics
@prosmartanalytics 15 күн бұрын
Please check the second Trial 2 on the left. 2 Red and 2 Black, hence 2/4. Hope it helps.
@user-qv7on3dl9y
@user-qv7on3dl9y 15 күн бұрын
@@prosmartanalytics thanks man makes sense :)
@user-ff6gf8gk5m
@user-ff6gf8gk5m 15 күн бұрын
You’ve made bayes’ theorem lovable for me. I am looking forward to getting more videos on probability from you
@prosmartanalytics
@prosmartanalytics 15 күн бұрын
Thank you! Please try these: kzbin.info/www/bejne/oHiqZJZ_pN1kmdEfeature=shared kzbin.info/www/bejne/d5OXp5yIetODbZYfeature=shared
@DanielTok-bs5mn
@DanielTok-bs5mn 15 күн бұрын
awesome, but what about stratify when splitting?
@prosmartanalytics
@prosmartanalytics 15 күн бұрын
Thank you! Stratify maintains the same proportion of 0s and 1s in both train and val/test sets as that of the overall data, but it won't resolve the class imbalance issue. We may stratify at the time of split to maintain whatever imbalance we have, and then apply imbalance treatment only to the train set.
@Anandhu-X
@Anandhu-X 20 күн бұрын
10:52 I am running this and I get an error on the vif["value"]= [variance_inflation_factor(df.values,I)… line. Its saying Type Error ufunc isfinite not supported for the input types and the inputs could not be safely coerced to any supported types
@prosmartanalytics
@prosmartanalytics 20 күн бұрын
We'll check this.
@avinpereira8495
@avinpereira8495 20 күн бұрын
hi sir would you explain to me when to use t-distribution and when to use a z-distribution?
@prosmartanalytics
@prosmartanalytics 20 күн бұрын
Hello! Please refer to this link: kzbin.info/www/bejne/h6rVp4ysnMl-gqsfeature=shared
@user-if7uy4sb6x
@user-if7uy4sb6x 21 күн бұрын
most underrated Vedio,but we will praise your efforts, thank u so much 😎😎
@beaverbuoy3011
@beaverbuoy3011 23 күн бұрын
Very interesting
@aryankumarsingh402
@aryankumarsingh402 26 күн бұрын
Thanks!
@vinaykashyap2319
@vinaykashyap2319 29 күн бұрын
Hello, I was just going thru the video. How would you explain the prime number 'for loop' for the digit 2. Because I'm thinking that in first for loop where num gets the value of 2 and in nested for loop 'i' gets the value of 2 and num is still retaining 2 and as per if statement 2%2 gives 0 reminder it should be non prime. But how it is appending to prime number ? Kindly answer
@prosmartanalytics
@prosmartanalytics 29 күн бұрын
Hint: Try checking the output of list(range(2, 2)). So when we write for i in range(2, num) where num is 2 what would it do?
@vinaykashyap2319
@vinaykashyap2319 29 күн бұрын
Understood if 2 is assigned in the first for loop, in the second for loop it becomes num-1 so it takes 1 in the condition statement. Thank you
@prernaupadhyay74
@prernaupadhyay74 Ай бұрын
good
@avinpereira8495
@avinpereira8495 Ай бұрын
Thx for your explanations it was quite clear about both the topics conditional and bayes, however I am confused where I can apply the bases theorem and I should use the conditional probability
@prosmartanalytics
@prosmartanalytics Ай бұрын
Bayes' Theorem is an extension of the conditional probability concept. You may need more practice, it would help.👍
@walterhuang5075
@walterhuang5075 Ай бұрын
This is definitely the best video explaining CPK that I've ever seen! Thank you so much!
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad you liked it. 😊
@minalgupta7456
@minalgupta7456 Ай бұрын
great video
@vinaykashyap2319
@vinaykashyap2319 Ай бұрын
Thanks for this video and your way of explaining the topic is awesome. I can't believe your channel hasn't reached to the people yet.
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! The journey of a thousand miles begins with a single step. We are happy it has reached you. 😊
@8eck
@8eck Ай бұрын
Very good explanation. Thank you.
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad you found it useful.😊
@foysal_BD_CSE
@foysal_BD_CSE Ай бұрын
To calculate the shortcut form, problem-1: how take you total products is 700? And also in problem-2: how take you total vehicles is 1000? If I take a random value, I can't get the exact answer.
@prosmartanalytics
@prosmartanalytics Ай бұрын
Give it more time to understand it from the beginning. Try to do it yourself. You'll always get the same answer (as in probability) because the assumed values of totals no matter what you take will get cancelled while calculating the probability as it participates both in numerator and denominator.
@user-gz3nh4wk9g
@user-gz3nh4wk9g Ай бұрын
After hours of searching and learning I didn't even get 1% of GMM but you have explained in 9 mins. Thankyou Subscribed
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Means a lot. 😊
@aswinimechiri3157
@aswinimechiri3157 Ай бұрын
what is the best way to choose initial centroid points?
@prosmartanalytics
@prosmartanalytics Ай бұрын
Though starting randomly for the first custer center is ok, but therafter for subsequent cluster centers we would vote in favor of the logic used by kmeans++.
@Thomas-ft4jk
@Thomas-ft4jk Ай бұрын
Hi, great video! I have reached a good final point in my analysis and wondering how I can export this sorted table to csv?
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! You may use pandas' to_csv() method.
@elitea6070
@elitea6070 Ай бұрын
Thank you sir, my lecturer can't even explain he just dumps random equations on me. At least this gives me an idea!
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad it helped. 😊
@anushkarai5564
@anushkarai5564 Ай бұрын
Woww! You explained it so well! Best video to study GMM!
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad you liked it.😊
@thomasmakrodimos1997
@thomasmakrodimos1997 Ай бұрын
Amazing explanation! The best tutorial for PCA! Thank you for your work...
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad you found it useful.
@Kaalokalawaia
@Kaalokalawaia Ай бұрын
Subbed. Thank you. This makes so much sense.
@prosmartanalytics
@prosmartanalytics Ай бұрын
Thank you! Glad you found it useful.
@finmatrixparadigm7904
@finmatrixparadigm7904 Ай бұрын
U re so good in accents of Speaking English for Indian to enjoy Pls share contact no
@lastwave3884
@lastwave3884 Ай бұрын
Superb sir
@thomasmakrodimos1997
@thomasmakrodimos1997 Ай бұрын
Great tutorial! Thank you for your work
@prosmartanalytics
@prosmartanalytics Ай бұрын
Glad it helped! 😊
@SamuelOgazi
@SamuelOgazi 2 ай бұрын
This was quite interesting. Thank you!
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! Glad you liked it.
@aswinimechiri3157
@aswinimechiri3157 2 ай бұрын
awesome.as you said no other reference is required.please keep up your great content.
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! 😊
@muhammadolushola5788
@muhammadolushola5788 2 ай бұрын
I really love your explanation
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! Glad it helped.
@AbbyKan-bl1tm
@AbbyKan-bl1tm 2 ай бұрын
Excellent 🎉🎉❤
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you!
@meisaak
@meisaak 2 ай бұрын
thank you
@user-tk9jl8wm1t
@user-tk9jl8wm1t 2 ай бұрын
Awesome presentation. Kindly make a presentation on these also Hybrid Sampling/Ensemble Systems. Thanks
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! We'll keep these suggestions in mind.
@user-uh8tw7zy4n
@user-uh8tw7zy4n 2 ай бұрын
Excellent explanation
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! Glad it helped.
@ritpatidar2678
@ritpatidar2678 2 ай бұрын
Well presented and better than the top video I saw on Isolation Forest.
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! Glad it was useful.
@tllxh
@tllxh 2 ай бұрын
This video so far is the best introduction of Gaussian Mixture models
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Thank you! Glad it helped.
@DeltaXML_Ltd
@DeltaXML_Ltd 2 ай бұрын
Great video!
@theclockmaster
@theclockmaster 2 ай бұрын
Your video is really helpful. Thank you.
@prosmartanalytics
@prosmartanalytics 2 ай бұрын
Glad it helped!
@ihlasvp9388
@ihlasvp9388 3 ай бұрын
Useful❤
@prosmartanalytics
@prosmartanalytics 3 ай бұрын
Thank you!
@izb1275
@izb1275 3 ай бұрын
Thanks for sharing best explanations of how Gaussian Mixture Models so far
@prosmartanalytics
@prosmartanalytics 3 ай бұрын
Glad it helped! 😊
@HumphreyVV
@HumphreyVV 3 ай бұрын
Mr Six Sigma.. Thank You. I am a male person, 81 yrs, and living in Holland. Your guidance in Bayes Theorem was astonishing clear and helpful. Hats off for your channel and expertise !!! Have a nice day
@prosmartanalytics
@prosmartanalytics 3 ай бұрын
Glad you liked our content. You too have a blessed day.