Tahiya Rahman's repositories
Langchain
LangChain, results created for a general recommendation system and the metrics from the user perspective.
Analytics-Vault
serves as the central hub for all documentation related to Google Analytics, catering to both beginners and advanced users from my past experience working with Google Analytics.
LLM-KerasNLP
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.
Naive-Bayes-Classifier
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 problems.
NMF-Topic-Modeling
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.
LDA-Topic-Modeling
Latent Dirichlect Topic Modeling on the authors with their reads link over 1000+ documents mined to create a outcome for the Topics overly popular.
Topic-Modeling
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 conceptualized as “topics” which can be used to discover latent structures in the corpus, to group similar documents together.
Career-Profession
Career/Profession
WEB115
Wake Tech Course
tahiyar7
Config files for my GitHub profile.