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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

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Day 9 of learning AI/ML as a beginner. Topic: Bag of Words practical. Yesterday I shared the theory about bag of words and now I am sharing about the practical I did I know there's still a lot to learn and I am not very much satisfied with the topi

30 days of consistent learning and practice - you're on fire! 🚀 This streak shows your dedication to growth and mastery. Keep up the fantastic work and watch your skills soar. You're among the top learners, proving that persistence pays off. Here's

Hi, Are there any websites or platforms where we can get real-time updates on new AI launches, along with their use cases and practical examples?

You didn’t spend all day working. You spent all day winning. Your AI handled updates. Your system shipped progress. You just focused on what moves the needle. Suddenly you're like: This isn’t work. It’s momentum. That’s Codestam.

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

Here's a condensed version: Establishing a Holistic School for Practical Education *Vision* Provide practical education from childhood to adulthood, focusing on grades 1-12, to equip students with skills beneficial for themselves and the nation. *K

Hey guys! I’m looking for a solid problem statement to work on as a college project — preferably something practical and impactful. Any ideas or suggestions? Open to tech, AI/ML, or even general automation-based problems.