Email Spam Classification Using Python & Machine Learning | KNOWLEDGE DOCTOR | Mishu Dhar

Email Spam Detection Using Machine Learning
Requirements:
1. scikit-learn
2.pandas
3.numpy
Github Repo: github.com/Cha...
#email spam detection using machine learning
#email spam detection using naive bayes
#email spam detection using python
#email spam detection using python and machine learning
#email spam detection algorithm
#email spam detection dataset kaggle
#spam detection
#spam email detection machine learning
#email spam detection project using machine learning
#email spam detection python
#email spam filter
#nlp

[@radhikaomkar100]

I'm getting no module name 'sklearn' error can anyone please hlp 🥺 I'm trying from long time @KNOWLEDGE DOCTOR

[@034otniel4]

thanks for this project Sir

[@bharatigornal9703]

What are the main modules used in this project?

[@daniyamuzammil683]

hi sir, i am getting value error when i run the predictive model , it says:
ValueError: X has 4 features, but LogisticRegression is expecting 7431 features as input.

[@daniyamuzammil683]

i have used the logistic regression and tfidf vectorizer

[@nandeesh_2005]

AWESOME PROJECT

[@manomagia7516]

Hi. Can you help me? Error: File "", line 1
1.The Cat
^
SyntaxError: invalid syntax

[@knowledgedoctor3849]

The cat?

[@TanmayUttekar-io9ws]

Sir I have a error 'streamlit' is not recognized as internal or external command

[@pchow68]

Install it...Go to Cmd and then write pip install streamlit

[@user-is6mt5rt5u]

how to deploy the whole code in streamlit

[@knowledgedoctor3849]

Coming Up Soon With Flask

[@batouldr8962]

hi
I have a question when i run the program it considered all the inputs as not spam email !i did not know how to fix this problem if u have an idea help me an thanks

[@knowledgedoctor3849]

Train it correctly

[@eslamhatem5735]

wow thank you so much

[@kimisemmmmm]

Hi sir, I want to ask. When I tried to run the streamlit, the web apps says that the 'main' name does not defined. May I know the solution of this?

[@mortalgamingop6531]

Please resolve this issue

[@user-sy6gy2kv7w]

Sir this is based on which algorithm??

[@suryatapasarkar3902]

I am getting the accuracy as 0.269 and also after giving the message it showing the same output for every messgae.
can you help me about the issue

[@knowledgedoctor3849]

Train your model correctly

[@BanyoPK]

Awesome! thanks for sharing!

[@knowledgedoctor3849]

Welcome, share it

[@xy3155]

where did you get the dataset, do you have any citation paper or website?

[@KASIDIABHILASH]

kaggle

[@adnanmajeed4825]

you are awesome man

[@existingstars3665]

Please upload quickly about radial basis function in spam detection in jupyter

[@knowledgedoctor3849]

Coming up soon

[@alasantri2266]

what algorithm ML is used?

[@knowledgedoctor3849]

Naive Bayes algorithm

[@existingstars3665]

Can any one explain about radial bases function in spam detection please with accuracy please in jupyter notebook please

[@knowledgedoctor3849]

Ok I will discuss on that.

[@pippalb.4061]

Sir, please let me know about feature selection.. What are the features of ur data set? If we use countv, bag of words to find most used words as ham and spam , so what are the features?? I m really confused about the features? And how we used this features?? Can we call feature " the most used ham words" ? Are they will be my features in my dataset?? I m totally confused!! And in this way, as u do ur first building model spam.csv ; what will be your feature selection method? Or technique? Are they cv , tf-idf or bog? Or how do i find filter, wrap and embd feature selection method?? I m totally confused!!

[@knowledgedoctor3849]

Don't Worry, I will make a video on this topic

[@amratnisa3158]

Having the same question please tell me

[@zeerakzubair2452]

Sir can you please tell how to find accuracy for this project

[@Amanansari003]

you can use the from sklearn.matrics import accuracy_score
and after that you would be able to use the function accuracy _score () just pass the true value as the first parameter I mean the original data values and second parameter should be the predicted values of dala so this will give you the accuracy score between them.

[@amratnisa3158]

Kindly tell me the front end and back end of the project