One Hot Encoding explained for NLP | Deep learning | NLP

One hot encoding is a text vectorization technique coomonly used in NLP. Text vectorization converts text to numbers which can be processed by Machine learning and deep learning algorithms. Follow us on Instagram: https://www.instagram.com/biomedical_basics/ ⭕ Subscribe: It takes a lot of time in creating these videos, so please subscribe, it would mean a lot ✅ Subscribe :https://www.youtube.com/channel/UCwEJkf9kUh7z9KN1uf93hgQ/ ⭕Playlists: ✅Deep Learning in MATLAB : https://www.youtube.com/playlist?list=PLPGccJDR0dG6kjw5RpuMtdQYTVDg9eFaY ✅Python Biomedical Image Processing https://www.youtube.com/playlist?list=PLPGccJDR0dG79GST4my7g7D4NtO3NbIXC ✅Deep Learning https://www.youtube.com/playlist?list=PLPGccJDR0dG6fKVHi79CKeWmOH_dLPC1w Your queries: one hot encoding nlp, one hot encoding code, one hot encoding python, one hot encodingexplained, one hot encoding in deep learning, artificial intelligence for beginners,machine learning,deep learning,one hot encoding,one hot encoding python,one hot encoding example,one hot encoding explained,text vectorization keras,text representation,nlp text representation,text representation nlp tutorial,text representation nlp,natural language processing,natural language processing tutorial,natural language processing in artificial intelligence

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