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Wine Quality Prediction Analysis | Machine Learning | Python 

Hackers Realm
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⭐️ Content Description ⭐️
In this video, I have explained about wine quality prediction analysis. I have done basic preprocessing, EDA, class balancing, feature selection, normalization, etc., We can do both classification and regression with this dataset. I have done different types of classification for this dataset.
Text-based Tutorial: www.hackersrealm.net/post/win...
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Dataset Link: www.kaggle.com/rajyellow46/wi...
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🕒 Timeline
00:00 Introduction to Wine Quality Prediction Analysis
02:49 Import modules and load data using pandas
04:23 Statistics data information
05:55 Preprocessing the wine quality data
08:30 Exploratory Data Analysis of wine quality
16:57 Correlation matrix for wine quality
19:00 Class balancing using SMOTE
22:30 Model Training & Testing for wine quality
#winequalityprediction #machinelearning #hackersrealm #regression #classification #deeplearning #datascience #model #project #artificialintelligence #beginner #analysis #python #tutorial #aswin #ai #dataanalytics #data #bigdata #programming #datascientist #technology #coding #datavisualization #computerscience #pythonprogramming #analytics #tech #dataanalysis #iot #programmer #statistics #developer #ml #business #innovation #coder #dataanalyst

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30 июл 2024

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Комментарии : 44   
@PepegaChess
@PepegaChess 2 года назад
Hi where do you go into more detail on oversampling in another video ?
@vanieswari.k5028
@vanieswari.k5028 9 месяцев назад
Hi I am getting an error like ValueError: could not convert string to float:'white' in In[14]
@mahendrareddy3433
@mahendrareddy3433 2 года назад
Sir I request you for a project in ml on based upon the count of the column values of the quality of wine compute the bar plot with the various quality lables on x axis and their frequency values on y axis
@amc8437
@amc8437 2 года назад
#Calculate quartile Ranges; limitQ1=df.density.quartile (025) Q3=df.density.quartile(0.75) IQR=Q1-Q3 lower_limit=Q1-1.5*IQR upper_limit=Q3+1.5*IQR df[(df.densityupper_limit)] df
@amc8437
@amc8437 2 года назад
When you drop Free Sulfur Dioxide and Density, the Accuracy and cv score is as follows: DecisionTreeClassifier 77% 73%, ExtraTreesClassifier 84%,81% XGBoost 83%, 80%
@HackersRealm
@HackersRealm 2 года назад
Thanks for your insights!!!
@charansai3413
@charansai3413 3 года назад
sir, I am getting an error when I am trying to import imblearn,xgboost,lightgbm and smote what is the solution for this could you please help me out in this error
@HackersRealm
@HackersRealm 3 года назад
You need to install those modules, try pip install modulename in anaconda prompt
@shivakumarb7364
@shivakumarb7364 2 года назад
can we use confusion matrix for classification models?
@HackersRealm
@HackersRealm 2 года назад
yes you can!!!
@ashishchandra141
@ashishchandra141 3 года назад
sir where can i learn DATA SCIENCE and FEATURING ENGINEERING from your playlist
@HackersRealm
@HackersRealm 3 года назад
there are seperate playlists to learn theory and practical implementations, check the channel playlist
@rani-20077
@rani-20077 3 года назад
Which algorithm is used Is it collaborative filtering algorithm used in this model
@HackersRealm
@HackersRealm 3 года назад
it's not a recommendation problem
@shivakumarb7364
@shivakumarb7364 2 года назад
what are the best metrics for regressions models?
@HackersRealm
@HackersRealm 2 года назад
there are various metrics like mse, mae, rmse, etc,.
@naveenpandey9016
@naveenpandey9016 3 года назад
Sir I am getting an error in the last part it is showing( number of labels does not match number of samples)
@HackersRealm
@HackersRealm 3 года назад
Follow the video or print the data before training and check the no. of samples
@huhuy4587
@huhuy4587 3 года назад
Hi, I want to ask about Definition Of Done of ML Project. If we talked about Software Programming, we can stated that when the software is running and match with user requirement then the project is done. So if we talked about ML, what is the definition of done? Is it after getting a model with accuracy between 80-90% and CV between 80-90% ? Also need to ask about tech question : 1. does all features need to be in a normalize mode? If it doesn't and we should normalize , using log or min max? 2. Still didn't get how to read the heatmap of the correlation matrix , how can we decide to remove the features? Based on the negative one ? features a and features b can have -0.5 but features a and features c can get 0.1 and features b and features c can get 0.1 , which attribute should I remove ? 3. After getting the model, how to integrate with the front end application? And also do we need to re-train the model after several times? Thank you.
@HackersRealm
@HackersRealm 3 года назад
Hi, Please reach out to me via instagram or linkedin for questions? and if it's more questions, pls check the consultation link. All links available in channel description!!!
@amc8437
@amc8437 2 года назад
How do you account for time, is wine quality not affected by it?
@HackersRealm
@HackersRealm 2 года назад
Here we are not considering the time, based on the chemical properties alone we are trying to predict the quality!!!
@satvikreddy3590
@satvikreddy3590 3 года назад
There is an error like this: cannot import name 'delayed' from 'sklearn.utils.fixes'
@HackersRealm
@HackersRealm 3 года назад
try to update sklearn or use another version of it. It may be a specific version problem
@a_25_pawansharma37
@a_25_pawansharma37 Год назад
Is this linear regression or any other regression please tell
@HackersRealm
@HackersRealm Год назад
I have used variety of classification models for this project
@shivakumarb7364
@shivakumarb7364 2 года назад
my models are giving negative cv score & accuracy, what it does meant for?
@HackersRealm
@HackersRealm 2 года назад
you used classification model?
@shivakumarb9217
@shivakumarb9217 2 года назад
@@HackersRealm yes, for classification models, we get negative cv score?
@HackersRealm
@HackersRealm 2 года назад
@@shivakumarb9217 No, we won't get any negative score for that, as you can see in the video!!!
@shivakumarb9217
@shivakumarb9217 2 года назад
Can we use cv score for both regression & classification models?
@HackersRealm
@HackersRealm 2 года назад
@@shivakumarb9217 yes but need to specify the scoring metric, check the documentation for more info on parameters
@Noaim8935
@Noaim8935 2 года назад
No module named 'imblearn' This error shows what I do
@HackersRealm
@HackersRealm 2 года назад
you have to install the module run this command in a new cell !pip install imblearn
@noobly4711
@noobly4711 3 года назад
sir i request u for a project on ml which is female birth fpr predictive analysis please give code or make a video ......please
@HackersRealm
@HackersRealm 3 года назад
After completing the tutorial series, I will surely make a video with this one
@TheGautamj
@TheGautamj 3 года назад
Sir where to get the dataset from?
@HackersRealm
@HackersRealm 3 года назад
link is in the descriptions
@TheGautamj
@TheGautamj 3 года назад
@@HackersRealm thank you
@samarsingh7594
@samarsingh7594 3 года назад
can u send me html code of index page
@HackersRealm
@HackersRealm 3 года назад
Code will be available in github. I donno what is html code meant...
@samarsingh7594
@samarsingh7594 3 года назад
@@HackersRealm index page where we can check quality
@HackersRealm
@HackersRealm 3 года назад
@@samarsingh7594 quality is the output label we are trying to predict, you can see the video on how to predict with test data available in the playlist
@samarsingh7594
@samarsingh7594 3 года назад
@@HackersRealm thank u
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