Naive Bayes algorithm in Machine learning Program | Text Classification python (2018)

[@sandipdikshit3736]

This is one of the best clear example setting videos with step-by-step architecture than that of any "Edtech platforms". Yes, this is what we want as an explanation. It's that simple rather than something more to it. I am surely subscribing to your channel for more explanations in near future. "Beautifully broken down and explained"

[@CodeWrestling]

Glad it was helpful!

[@mohanarajjagadesan8940]

Your way of explanation is too good

[@shaminmohammed672]

You are awesome. You are better than my professor.. thank you

[@Aminulislam-jf2ct]

Everyone who want to start text classification research should watch this video... Really well explained

[@CodeWrestling]

Thank you so much!! It means a lot

[@sapanabasukala2291]

Perfect Explanation on countvectorizer, tfidfvectorizer and all the metrics with good examples.

[@jkore2554]

This is exactly what I was looking for. I learned how to build a binary classifier (e.g. ham, spam), but needed to learn how to build a model that would predict an outcome for more than two categories. Thank you for the tutorial!

[@romanjaxx1600]

i know it is quite randomly asking but do anyone know of a good place to watch newly released tv shows online ?

[@mohaab8786]

is this program (Web Document Classification Using Naïve Bayes in advanced data mining)? i need to know please

[@vamsikrishna1131]

better than a few videos i have seen trying to understand the basics of NB+python

[@nikhithasrinivas]

You have a got a very detailed explanation of concept. This is a very big asset for my project implementation. Thank you so much and please make more videos with more machine learning algorithms.

[@CodeWrestling]

soon we will make 😄 #codewrestling

[@inzayngirl]

Firstly i would like to thank for your video. Finally found something for text classification with proper explanation

[@viralentertainmentnetwork2171]

Hi , very nicely explained. Basically I need to understand what will be the output of this model like if I want to return the text as result of text analysis so how can we display the output in excel sheet again in further classification like neutral, positive,negative ..thanks

[@pavani3830]

Thank you🙏very well explained.please make a video🎥on other algorithms too.please.or else suggest some best channel for it

[@MrEvergreen777]

very nice superb explanation would like to see more of data science and text mining videos

[@dbiswas]

Your explanation is excellent. Keep up with such good teaching. Thanks !

[@CodeWrestling]

Keep watching

[@Iffe4]

Well explained and properly coded implementation. Thank you for explaining in this manner.

[@GLocarso]

THANKYOUUUU 1 LIFE SAVED 🙏🙌😁

[@_shreyagarg]

Very helpful. Totally recommend seeing this.

[@manjula6942]

good explanation and very useful for beginners.

[@abelyosua4235]

Amazing so easy to understand. Thank You

[@CodeWrestling]

Glad it was helpful!

[@wsgsantos]

Congrats from Brazil!

[@CodeWrestling]

Thank You!!

[@unio-yourofficialcollegeap3361]

Excellent explanation clearly and succinctly - Very well done..

[@CodeWrestling]

Thanks and Stay Tuned with us!! :-)

[@infopedia_life_facts]

This was really great. Can you make a whole video on Next word prediction .......This will help us a lot bro..

[@CodeWrestling]

Yeah, I will try to, Just for a reference, you can use word2vec skip gram model or continuous bag of words for predicting next word... Stay Tuned.. #CodeWrestling

[@atriraha]

Great narrative and explaination. Keep up the good work brother !

[@CodeWrestling]

thanks

[@kapiljain4234]

Awesome explanation. Keep uploading. Thanks a lot :)

[@Trouble.drouble]

Good explanation keep it up champ

[@anilkumar-dm8om]

Nice and clear explanation

[@mauriciorey8609]

Very nice video. Question, besides writing less code, what do I gain using the pipeline method? Do I gain computational time?

[@sofluzik]

Awesome brother continue the good work 🙂

[@mohaab8786]

Thanks sir. is this program (Web Document Classification Using Naïve Bayes )?

[@ayushk1666]

Superb explanation .. keep it up

[@CodeWrestling]

Thanks a lot

[@amitjuyal63]

Great explanation really helpful thanks

[@nesreddine7103]

Thank you, it's a very nice explanation, great helpful

[@naveenkumarnelavalli8570]

Very good initiative guys..,,, And one simple thing it would be better if you wouldn't of use word so called OKAY repeatedly....!

[@CodeWrestling]

Yeah bro, we will take care of this next time, THANK YOU!!

[@novembertravel895]

@@CodeWrestling Great work. Thank you. Thats Okay brother, let them be themselves. ;) it should not bother you for the work they have done there.

[@prashantkumarjharia]

Hi, I want to build text to intent classification program. Can you suggest which algorithm should be used and how to achieve the same.

[@gamasacademy1416]

can you make a video on one example where we can learn how to use text classification multivariate problem...like i have 10 features with categorical output. out of 10 variables couple of them are text....can you please share one example how to use all 10 features applying text mining on 2 and finally use classification model to predict results...

[@roha12]

wow good job go ahead!

[@Ankit-hs9nb]

Thanks, dude, nice explanation!

[@CodeWrestling]

Thanks a lot. Stay Tuned #CodeWrestling

[@adityaghosh8601]

Can make a playlist on Mathematics of machine learning , like probability , Linear Algebra , differentiation

[@sunitareddy8717]

Very good explanation. Do you have videos for KNN,Decision tree,SVN models?

[@CodeWrestling]

yes we have lots of videos in queue coming soon stay tuned #codewrestling

[@carellek1060]

Very helpful, thank you. I have one question though, will the process be the same if some document had more than one categorie?

[@CodeWrestling]

Yes it will

[@ashishpandey4072]

Good explanation bro..

[@CodeWrestling]

Thank you 🙂

[@JiminPark-ld2xx]

Can you tell me if there's a way I can do the same classifier with Excel or CSV data sheet?

[@ariesjayveeganzon8774]

Question, can I use the result of MultinomialNB as an input to another machine learning? I'm doing a classification model that requires other features for prediction. By the way, great job for this video. Learned a lot. Appreciate it!

[@CodeWrestling]

Determining which algorithm to use, totally depends on what kind of problem it is. Sometimes other algorithms works better. So maybe first step is to understand that which kind of algorithm you should use for a particular type of dataset and then use the appropriate algorithm. Thanks for the appreciation.

[@rianasmaraputra]

can you explain please, what should i do if i want to classify twitter dataset from csv file ? thanks

[@guelibbouchra1115]

Did you find how to do that ?

[@rianasmaraputra]

@@guelibbouchra1115 yes, i'm using pandas dataframe and preprocessing and classifiy

[@avinashprasad4181]

@@rianasmaraputra can you help me with how to classify twitter data from a text file

[@rianasmaraputra]

@@avinashprasad4181 yeah, find me on twitter @rianasmara_p

[@gasmisafa2979]

can you help me please Rian Asmara Putra ?

[@tsegalemhailu1211]

It is an amazing video. Am working my thesis on Amharic language classification. could u guide me on doing so?

[@umamadisha287]

Can you please make a video on text similarity measurements using cosine similarity ?

[@naz-kh6lj]

hi , i would like to ask you something. what techniques should i use to find some keyword in my csv file and then if match with the keyword, i want to assign it to another keyword. the output something like this, column A Keyword DUMPBLT:TESTING FAILED: OPERATOR PUSHED STOP BUTTON SYSTEM FAILED if i found keyword of 'DUMPBLT' and 'PUSHED STOP BUTTON' in column A, i want to assign it to "SYSTEM FAILED" and put to other column. can you help me about this ?

[@kekkettoful]

hello could you also show an implementation of a binary neural network always with this dataset?

[@lakkojufam366]

Can we classify someother pdf files as datasets using this implementation?? Please Answer bro, I am in a similar kind of project

[@sharonelijah]

Excellent & very impressive !

[@CodeWrestling]

Thanks for appreciating. #CodeWrestling

[@harshitvishwakarma310]

what if i want to test for single document and want to predict its target_names ?

[@amritasengupta4260]

Why are we not removing the punctuations and stopwords?

[@manumathew8502]

Well explained

[@Abhi-bv2eb]

please do a video on decision tree on iris dataset without using sklearn

[@CodeWrestling]

The video is on the way.. Stay Tuned

[@samyaknayak5731]

Great video!!! Can we get the github code for the process which is not the magic one?

[@nandeshnarayannaik3793]

Greate Content and Nicely explained

[@ShaheenMirja]

My dataset is not categorical and i want to detect the novelty from news archive.Can any one help me to catch the right approach?i want to use SVM.

[@shankar3109]

Nicely explained magician :)

[@rap60d]

Very helpful, thanks and God bless

[@CodeWrestling]

Thanks a lot. Stay Tuned. #CodeWrestling

[@vcrmartinez]

Hi, really appreciated your video. Nice explanations.

[@CodeWrestling]

Thanks! #codewrestling

[@GelsYT]

can someone tell me what is news_train["target"] for? same with the testing set THANKSSS

[@manthanadmane7812]

Out of all the categories, we restricted ourselves to 4 categories while importing data. [By passing categories list while importing] Now news_train["target"] shows the same 4 categories. Note: "target_names" is a key in the dictionary of news_train containing only our 4 categories. Hope this helps.

[@GelsYT]

@@manthanadmane7812 THANK YOU SOO MUUUUCHHHH =) GOD BLESS YOU :)

[@manthanadmane]

@@GelsYT Ah! No worries bud, happy learning :)

[@jyrust1713]

class_prior parameters in naive bayes what mean? i dont understand in documentation

[@Nadhine]

i'm using python django and my datasets were stored in django db how can I use that dataset as the training datasets aside from creating a folder put the documents there

[@Eebbistuu]

I am also looking for such activity

[@ripandeb7227]

How to use the model( pickle file) in a separate module to predict a new set of data. How to transform the new data to be predicted?

[@Kiddzzvideos]

Hi, I have same doubt. can you help me with this? How to predict new dataset?

[@ashrafulhoquemiraj7294]

how they are preparing text file as a dataset inside training & test data.what us the format.

[@_amitmalik]

I want to label Quora question of dataset around 30k rows in CSV . How would you test this train model of 20 newsgroup on such a dataset . Much needed help / any vedio on this will be very helpful .

[@dr.labrat-x3z]

when I run the accuracy at 20:07 is get the following error: ValueError: Found input variables with inconsistent numbers of samples: [1502, 2] do you know how to solve this?

[@CodeWrestling]

Can you please elaborate a little more?

[@nanlirmullah7944]

Nice one! Well done!!

[@haritar9053]

The concepts are very well explained. But the classifier isn't able to distinguish between alt.atheism and soc.religion.christian. How would you fine tune the model?

[@hailemariamtesfa8440]

is very nice vedio.But what about the csv dataset.

[@moshithaarunachalam3932]

Hello! Once the accuracy of Mutlinomial Naive Bayes is calculated, could you tell me how to predict the class of unseen data/test data using same classifier Mutlinomial Naive Bayes?

[@CodeWrestling]

load the new dataset, use the pipeline to classify the data in the same way as I have mentioned the video. Also, refer the code, a link is given in the description of the video

[@ashoknp]

superb

[@ronaldalbertoromero7291]

Very thanks

[@manumathew8502]

Is there any datasets for feedback classification?

[@abhishekraj8677]

Hey bro.. after finding the result of precision recall and F1 score. How we'll write this in text?? Will u help me out from this?

[@ojhamanvi]

I have lots of text file for model training how to train model for classifiction?

[@mounikab9830]

Can I use emotion dataset of having attributes I'd, text, emotions

[@RimujiFoods]

10:20 Feature Selection 12:30 Term Frequency

[@faizanali3394]

i am working Urdu news text can u guide me. i am working in python with pycharm.

[@sumanvey3934]

hi brother i love ur explanation. but i have one question. When i tried to increase the size of target names to 6 from 4, it produces error which says Number of classes, 6, does not match size of target_names, 4. Try specifying the labels parameter how to solve these????

[@sumanshu.nankana]

Hello Bro, what is the use of using argument categories = categories while load_files()?

[@CodeWrestling]

Bro, by default fetch20newsgroup will take all the categories, but I want to work on only 4 categories, so I have created a list containing only those, you can give any name to this list variable. And finally assign to the fetch20 newsgroup categories. I hope, I was able to solve your query.

[@saudnaeem]

why you are using count vectorizer and tfidif both in your implementation ? isn't tfidf enough for both of the tasks (counting and transforming)?

[@CodeWrestling]

Try to get the result without using count vectorizer, you might understand then. Anyway in the end we have used something else to make the code shorter

[@raghavendramani9795]

superb bro

[@CodeWrestling]

Thanks 🤗

[@Kiddzzvideos]

Hi..Amazing video! If I have new file, how to predict the category of that file. Can you please provide the step after the following step? predicted =clf.predict(X_test_tfidf)

[@nuraisyah9509]

Hi. did anyone know how's to create a transliteration machine learning that can solved homograph disambiguation using python?

[@zahrasiraj766]

hi can we have a word regarding the system specifications for machine learning

[@mandathejaswee9927]

can u give explanation on different algorithms like knn algorithm, decession trees with the same data set

[@CodeWrestling]

Working on it.

[@mandathejaswee9927]

@@CodeWrestling I am doing a project on that data set. It will be helpful to me

[@uzwalgutta]

Super bro

[@sneakyblinder982]

Nice Video

[@ojhamanvi]

Are these training dataset are .txt files?

[@fardaddanish8113]

please upload a video on gender identification by using python

[@athulyac6599]

Can I use this same code in windows....???

[@CodeWrestling]

Yeah.

[@randythamrin5976]

I can not find the dataset. by the way thank u for your video

[@aarthipugal89]

how do u train ur data to the model

[@CodeWrestling]

Use google colab to train the data.

[@talhatariq4069]

why sci.med is not included??

[@CodeWrestling]

It was just for explanation. Not any specific reason behind that.

[@sabiyafatima56]

thanks a lot

[@alejandrojaime1385]

good explication Sir!!! very good. thanks you !!

[@CodeWrestling]

Your most welcome #codewrestling

[@AdityaShukla-uu8ut]

Thanks, bro

[@sheetalirappabetgeri9423]

hello sir i am not getting that data set on internet can u help me for this

[@CodeWrestling]

you can find the dataset on the following link: qwone.com/~jason/20Newsgroups/20news-bydate.tar.gz #codewrestling

[@jonathanperalta2239]

You save me

[@GeorgeAlin]

Hi mate, Can you made a Naive Bayes algorithm in Machine learning Program but with Document Classification? Thx.

[@CodeWrestling]

Sure, I will definitely look into it #codewrestling