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1. Naive-Bayes-Classifier Naive-Bayes-Classifier Public

   The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex findings to answer business questions, detect and analyse trends and help solve…

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2. Topic-Modeling Topic-Modeling Public

   Topic modeling is a text mining technique in which an algorithm is applied to a large corpus of documents that identifies patterns of word co-occurrence. These patterns of word co-occurrence are co…

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3. LDA-Topic-Modeling LDA-Topic-Modeling Public

   Latent Dirichlect Topic Modeling on the authors with their reads link over 1000+ documents mined to create a outcome for the Topics overly popular.

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4. NMF-Topic-Modeling NMF-Topic-Modeling Public

   This Topic Modling on Non Matrix Factorization is about the CNN news and how overly utilizing CNN as a new platform where the most topics is being vocalized.

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5. LLM-KerasNLP LLM-KerasNLP Public

   LLM Keras NLP project utilized confusion matrix to get the insight from the text mining and get a desired outcome to check the texts being generated by the AI or human.

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6. Langchain Langchain Public

   LangChain, results created for a general recommendation system and the metrics from the user perspective.

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