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Пікірлер
@HASTERAHO2004 Ай бұрын
Bhai mai yaha pe new hu aapki videos kafi jyada badhiya hai muzhe acche se saren concept samz aaye kotlin beginner to advanced course lao mera personal recommendation hai. Baaki 💗 se support aapko 🙏😊
@c2editor 2 ай бұрын
I have watched many project related to recyclerView and always I feel doubt related to recyclerView but Because of this video I am confident in such a way that I can also teach another person. Thank you Sir. Love from Nepal ❤❤😘😘😘😘😘😘
@khushidubey4711 3 ай бұрын
Sir iske aage k code ab kya krna h isme
@anjumshaikh606 4 ай бұрын
Sir plz give this project GUI
@anime_fans5031 4 ай бұрын
Sir
@anime_fans5031 4 ай бұрын
sir this line "model=models(X_train,Y_train)" shows me error "ValueError: Unknown label type: unknown. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values." how to fix
@majidhussain-eo9ek 4 ай бұрын
ap achi tarah understanding howe but ye complete course nhy hai
@majidhussain-eo9ek 4 ай бұрын
sir ap ne complete course to nhy bnay i swear ap ki sirf mujhy achi tarah sy understanding howe hai
@arshnoorkaur4366 5 ай бұрын
Much needed video, tysm
@Blue_Bilishe 5 ай бұрын
Is it Kotlin????
@tahanasir147 6 ай бұрын
Which language have u used kotlin or java??
@Androidapp31 23 күн бұрын
kotlin
@Akashi_216 7 ай бұрын
I have an Android project and followed your video for two days long. It worked perfectly the day before present my project and two hours before showing my app to my professor .. guess what 🙂it dosnt work in front my professor 🙂😅but thank you for the tutorial ❤❤
@codeforlife7702 7 ай бұрын
Issues can happen, well try to debug it 😝
@zubairanwar6540 7 ай бұрын
Explained very well, why don you upload more videos on such topic , project based , it was very nice , and i listened each single line, which you explained step by step with coherence , that was really nice
@zubairanwar6540 7 ай бұрын
very good, thanks bro
@AssaultNoCommentary 8 ай бұрын
you write the video title in english and then make an entire video speaking Indian. TF is that??
@codeforlife7702 8 ай бұрын
What are you proposing then should I write the title in hindi as well ?
@jeffdon9257 8 ай бұрын
English please
@kanchansahitani4857 9 ай бұрын
Why my heatmap is not providing the percentage value after writing the same code that sir provided??
@mann4332 10 ай бұрын
what dataset is provided
@RACHITJADON-vn1ci 10 ай бұрын
def models(X_train,Y_train): #logistic regression from sklearn.linear_model import LinearRegression log=LogisticRegression(random_state=0) log.fit(X_train,Y_train) #Decision Tree from sklearn.tree import DecisionTreeClassifier tree=DecisionTreeClassifier(random_state=0,criterion="entropy") tree.fit(X_train,Y_train) #Random Forest from sklearn.ensemble import RandomForestClassifier forest=RandomForestClassifier(random_state=0,criterion="entropy",n_estimators=10) forest.fit(X_train,Y_train) print('[0]logistic regression accuracy:',log.score(X_train,Y_train)) print('[1]Decision tree accuracy:',tree.score(X_train,Y_train)) print('[2]Random forest accuracy:',forest.score(X_train,Y_train)) return log,tree,forest error aa rhi h is mein nhi chal rha fit model k wajah s
@kanchansahitani4857 8 ай бұрын
import numpy as np from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.tree import DecisionTreeClassifier from sklearn.ensemble import RandomForestClassifier # Load the Iris dataset iris = load_iris() X = iris.data y = iris.target # Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0) # Call the models function with the training data def models(X_train, y_train): # Corrected parameter name Y_train to y_train # Logistic Regression log = LogisticRegression(random_state=0) log.fit(X_train, y_train) # Decision Tree tree = DecisionTreeClassifier(random_state=0, criterion="entropy") tree.fit(X_train, y_train) # Random Forest forest = RandomForestClassifier(random_state=0, criterion="entropy", n_estimators=10) forest.fit(X_train, y_train) print('[0]Logistic Regression Accuracy : ', log.score(X_train, y_train)) print('[0]Decision Tree Accuracy : ', tree.score(X_train, y_train)) print('[0]Random Forest Accuracy : ', forest.score(X_train, y_train)) return log, tree, forest model = models(X_train, y_train) try this!!
@aya4053 7 ай бұрын
@@kanchansahitani4857thanks bro
@susmitapaul9520 10 ай бұрын
Hi i m getting error it is showing like unknown label type..maybe you are trying to fit a classifier which expects discrete classes on a regression on Target with continuous values
@01navneetanand11 9 ай бұрын
yes, same problem i also got , have you corrected it ??
@RiyaAdvani7 Жыл бұрын
Where can I contact u? I needed some help in a presentation. Please reply.
@technicalrider6196 Жыл бұрын
Time stanp????
@SAJJAD_HISSAIN Жыл бұрын
It will took 12 byte 😊 Coz.char also took 4 byte instead of 1 byte to aline its self according to int and float
@mayamainwal793 Жыл бұрын
thanks its help me to understand terminal
@DevilKing-kh7lb Жыл бұрын
Sir my college final year project is same. So sir what can i Add or modify new from me in this model ? Please sir advised me 🙏🙏🙏
@ajm0o Жыл бұрын
def models(X_train, Y_train): from sklearn.linear_model import LogisticRegression log = LogisticRegression(random_state=0) log.fit(X_train , Y_train) from sklearn.tree import DecisionTreeClassifier tree = DecisionTreeClassifier(random_state=0, criterion="entropy") tree.fit(X_train,Y_train) from sklearn.ensemble import RandomForestClassifier forest = RandomForestClassifier(random_state=0, criterion="entropy",estimators=10) forest.fit(X_train, Y_train) print("[0] Logistic regression accuracy :",log.score(X_train ,Y_train)) print("[1] Decision tree accuracy :",tree.score(X_train, Y_train)) print("[2] Randon forest accuracy :",forest.score(X_train, Y_train)) return log,tree,forest > 215 raise ValueError( 216 f"Unknown label type: {y_type}. Maybe you are trying to fit a " 217 "classifier, which expects discrete classes on a " 218 "regression target with continuous values." 219 ) ValueError: Unknown label type: unknown. Maybe you are trying to fit a classifier, which expects discrete classes on a regression target with continuous values.
@GauravRanaFitness Жыл бұрын
solve hua ye problem? mera bhi yhi hora
@maheshkeshwala62 Жыл бұрын
44:47
@Code_with_Sagar Жыл бұрын
sir apne decimal kee baad mai 14 bola 1 4 nahi bola❤
@ayushgehlot9440 Жыл бұрын
code exited time show kese enable karna he sir ?
@iftak01 Жыл бұрын
Bro use design pattern
@sonalisharma5044 Жыл бұрын
Keep it up 💯
@SakshiGupta-x5f Жыл бұрын
good explanation
@ayushikaushik1138 Жыл бұрын
Informative and to the point.
@abimani6320 Жыл бұрын
How can i use this model to predict breast cancer which are not in test and train data?
@pujamishra9185 Жыл бұрын
Can I show this project in clg...I mean is it complete or not?
@codeforlife7702 Жыл бұрын
Yes you can, it is complete.
@SanikaMore-v3t Жыл бұрын
Hey...did solve that error????
@ashwanipatel780 Жыл бұрын
great
@utkarshmishra6006 Жыл бұрын
Very informative
@sonalisharma5044 Жыл бұрын
Good to have your videos back 🎉.
@sakshamsharma3608 Жыл бұрын
At 59:00 the testing model code is not working because classification metrics cannot use it for regression problem, so what should i do, your code worked but mine didn't, what should i do and how?
@subodhnautiyal708 Жыл бұрын
hi bro im facing the same problem did you solve it
@GauravRanaFitness Жыл бұрын
thik hua ?
@sakshamsharma3608 Жыл бұрын
# Testing the model / Result from sklearn.metrics import accuracy_score from sklearn.metrics import classification_report for i in range(len(model)): print("Model", i) print(classification_report(Y_test, model[i].predict(X_test))) print("Accuracy: ", accuracy_score(Y_test, model[i].predict(X_test))) This code is mot working this is giving ValueError: Classification metrics can't handle a mix of unknown and binary targets? What should i do? can anyone help me with this
@amitsaha5197 Жыл бұрын
clear storage krke ne bad prblm solve hoga but phirse prblm create hoga
@amitsaha5197 Жыл бұрын
update task meh sayed thora issue ha
@strugglewithlife365 Жыл бұрын
good explanation plz sir continue this course
@amanansari6097 Жыл бұрын
Brother how are using that preview on the side while coding can you tell me
@divyanksharma236 Жыл бұрын
54:05
@HrithikRajput-o6b Жыл бұрын
CardInfo aur Entity class banane ka kya fayda jab dono ka kaam same hi hai
@deepspace820 Жыл бұрын
Same as code with Harry
@esrasonuvar2150 Жыл бұрын
Hi, I'm watching your video but I don't understand your language. However, I'm surprisingly able to follow what you're saying. Thank you!!
@edoye6486 Жыл бұрын
where is the link to the video.. someone cant learn from this