Machine Learning & NLP Full Project | How to Create Language Detection Model | Google Translate
Description:
📁 Download Code and Resources: https://github.com/TheiScale/YouTube-...
In this full project tutorial, we’ll guide you through building a translation model similar to Google Translate using Machine Learning and Natural Language Processing (NLP) techniques. Whether you're a beginner or an advanced developer, this step-by-step guide will cover everything from data preparation, neural network design, and model training, to testing your language translator.
Timestamp for the Full Project
00:00 - 01:06 - Project introduction
01:07 - 06:32 - Real time project Use Case
06:33 - 10:50 - Uploading Data Set and making file
10:50 - 13:20 - Importing & Understanding Libraries Numpy, Pandas, Matplotllib, Scikit learn, NLP
13:21 - 15:48 - project Steps and framework
15:49 - 33:00 - Naive bayes, NLP - Countvectorizer, train test model
33:01 - 35:50 - Data Cleaning
35:51 - 41:15 - Converting data type
41:16 - 50:14 - Machine Learning Model Building
50:15 - 51:00 - Model Evaluation - acuracu
51:01 - 1:02:05 - Testing model - Real time application like chat gpt, google translate
1:02:06 - 1:03:56 - Projet presentation on linked in
We'll explore key concepts in NLP, like tokenization, word embeddings, and sequence-to-sequence (Seq2Seq) models with attention mechanisms, helping you understand how modern translation systems work. By the end of this video, you'll have a working translation model and a deeper understanding of the machine learning techniques powering tools like Google Translate!
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