Email Spam Classifier | SMS Spam Classifier | End to End Project | Heroku Deployment

In this end-to-end project, we'll guide you through building a spam classifier for both emails and SMS messages. Learn the steps involved in creating a reliable spam detection system and witness the deployment on Heroku.

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⌚Time Stamps⌚

00:00 - Intro
00:54 - Project Demo
02:50 - UCI ML Dataset
04:41 - Creating Jupyter Notebook/Checking The Data
05:55 - Stages of the Project
07:30 - Data Cleaning
12:20 - EDA
29:17 - Text Preprocessing
54:25 - Model Building
01:09:17 - Improving model performance
01:20:20 - Creating the project in Pycharm
01:33:00 - Deployment on Heroku
01:39:30 - Outro

[kausikkar]

I find your's and Krish Naik's channels to be the ones which actually help us build industry grade ML projects. Rest are just doing model.fit without any given explanation.

[radhekrashna]

Well explained many in a single 90 minutes videos

It's one of the best channel to learn data science free of cost with very good content

[muhammadtayyabtahirqureshi]

bundle of thanks for this amazing video... apparently it's one video but it covers all the steps involved in machine learning development, data cleaning, EDA, pre-processing, model training, optimizing and good practices everything has been packed in just one video. ❤

[handhikayp]

Cool, this is the completed tutorial I had seen, from beginning until deployment

Keep up the great work sir!

[JaySharma-obnw]

Amazing Content!! I dont understand why this channel has small reach this content is better than any paid courses

[aakashgupta]

One Day this channel is going to have 1M Subscribers ❤🔥

[TechnicalDrMusic]

100% easy to understand, really enjoyed 😅 a little bit is that in the middle the videos you cut for analysis but it was totally fine. Loved it, now i got my project to make it.

[hussainktk]

Thumbs up for you sir. All other videos are till the model training. You have showed the full working. Thanks !

[ahsannaseer]

Awesome method of teaching. Learned a lot from you. Very insightful content. Keep up this good work.

[sachinjain]

I am so glad that i found this channel. i recommend this to many of my friends. Amazing content

[rashidsiddiqui]

Thank u very much NItish sir.😊
Very helpful playlist, thank u helping us learn ML AND DL, NLP with such interest and enthusism.

[Malayalam_learner]

Thanks to this channel im getting exposure to projects, hope by the end of this playlist ill make one

[robinabraham]

You are best person I have ever come across. With great feature engineering got to learn many things for model deployment too.

[LockLad]

I haven't even started to watch your videos but i can feel it in my heart that I landed on the right place

[TechnicalDrMusic]

woow!, finally i made one project sir, thank you so so much really paid off for me.

[chiradipbiswas]

Awesome teaching !!, not using just libraries for text conversion, helping to understand process under the hood, and building the functions and conditions straight from the ground logic. Very nice video

[mcchickencrispy]

Thank for the walkthrough! Just a small remark, while defining the word-cloud object you can set the collocations parameter to false and avoid duplicates in the final plot.

[atul]

Thanks Sir for such an Amazing tutorials on Machine Learning Projects .The concepts you taught was so much crystal clear .

[SurajYadav-xjyf]

Thank you for uploading this thorough end to end project... this really helped me..

[TanmoyAnik]

what a tutorial... claen & refreshing... i appreciate your work ... respect💜