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Day 4 of learning AI/ML as a beginner. Topic: text preprocessing stemming using NLTK. I have learned about tokenization and now I am learning about text preprocessing in ML. Text preprocessing is cleaning up of raw text (raw text is the one entered

Day 2 of learning AI/ML as a beginner. Topic: text preprocessing (tokenization) in NLP. I have moved further and decided to learn about Natural Language Process(NLP) which is used especially for translations, chatbots, and help them to generate hum

Day 5 of learning AI/ML as a beginner. Topic: lemmatization and stopwords. Lemmatization is same as stemming however in lemmatization a word is reduced to its base form also known as lemma. This is a dictionary based process. This is accurate then

Day 13 of learning AI/ML as a beginner. Topic: Word Embedding. I have discussed about one hot encoding, Bag of words and TF-IDF in my recent posts. These are the count or frequency tools that are a part of word embedding but before moving forward l

Ever wondered how is country's budget prepared? Budget-1 Fact: there is no such word as budget in our Indian constitution Acc to Article 112 of the Indian constitution it is known as an “Annual Financial statement” In our case though the budget

Choosing a name for a startup is one of the most crucial initial tasks, Indian startups have some impressive names, let's explore the meaning behind a few of them: 1) Zepto - The name "Zepto" is derived from 'zeptosecond' which is the shortest uni

Medial's first pitch deck was a two page word document. Here's what it had in total - 1) About the founders. (3-4 lines each with LinkedIN links). 2) About the product and "Why Now?". 3) Our vision in longterm. 4) How'd we utilise the capital.

Day 12 of learning AI/ML as a beginner. Topic: TF-IDF practical. Yesterday I shared my theory notes and today I have done the practical of TF-IDF. For the practical I reused my spam classifier code and for TF-IDF I first imported it from the sklear

Day 6 of learning AI/ML as a beginner. Topic: pos tagging and name entity recognition. Pos (Part of Speech) tagging is process of labeling each word in a sentence(document with its role). Name entity recognition is the process where the system ide

1. Concept 💡 The Transparent Kitchen features a glass-enclosed kitchen where customers can watch their meals being prepared in real-time. 2. Transparency 🔍 This transparency builds trust by ensuring high food quality, hygiene, and cleanliness durin