Pinned Repositories
DataScience_Mentorship
Course Material - Data Science Program
Gemini_PRO_LLM
PythonDataScienceHandbookIMP
Python Data Science Handbook: full text in Jupyter Notebooks
Questions_Generator_Llama_3.1
RAG_With_Audio_To_Text
RAG on earnings 21 data
t_git_conflicts
learning git on my own
Text_To_SQL_Gemini_pro
Tomato_leaf_classification
Twitter-US-Airline-Sentiment-Analysis
This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.
VivekanandSomvanshi
Config files for my GitHub profile.
VivekanandSomvanshi's Repositories
VivekanandSomvanshi/DataScience_Mentorship
Course Material - Data Science Program
VivekanandSomvanshi/Gemini_PRO_LLM
VivekanandSomvanshi/PythonDataScienceHandbookIMP
Python Data Science Handbook: full text in Jupyter Notebooks
VivekanandSomvanshi/Questions_Generator_Llama_3.1
VivekanandSomvanshi/RAG_With_Audio_To_Text
RAG on earnings 21 data
VivekanandSomvanshi/t_git_conflicts
learning git on my own
VivekanandSomvanshi/Text_To_SQL_Gemini_pro
VivekanandSomvanshi/Tomato_leaf_classification
VivekanandSomvanshi/Twitter-US-Airline-Sentiment-Analysis
This project has taken US Airlines Twitter Dataset (Training 15000 tweets & Testing 3000 tweets). It uses machine learning to classify the sentiments of tweets into positive, neutral and negative. It uses Naive-Bayes Classifier for text-classification and NLTK and SkLearn libraries in python.
VivekanandSomvanshi/VivekanandSomvanshi
Config files for my GitHub profile.