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slavaheroes / llm-zoomcamp
Forked from DataTalksClub/llm-zoomcampLLM Zoomcamp - a free online course about building a Q&A system
LLM Zoomcamp - a free online course about building a Q&A system
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
SoTA LLM for converting natural language questions to SQL queries
amrrs / anything-llm
Forked from Mintplex-Labs/anything-llmThe all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.
A comprehensive guide to building RAG-based LLM applications for production.
Build ChatGPT over your data, all with natural language
Open Source Data Science Resources.
Tutorial on topic models in Python with scikit-learn
bhv / Hands-On-Natural-Language-Processing-with-Python
Forked from bijoyandas/Hands-On-Natural-Language-Processing-with-PythonThis repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
bhv / ML-Labs-BITSF464
Forked from adityalahiri/ML-Labs-BITSF464bhv / Data-Science-for-Marketing-Analytics
Forked from TrainingByPackt/Data-Science-for-Marketing-AnalyticsAchieve your marketing goals with the data analytics power of Python
PCA. Clustering Algorithms. Business Analytics.
KMeans Clustering for IRIS Dataset Classification
bhv / mathematics-for-machine-learning-cousera
Forked from MiaEden/mathematics-for-machine-learning-couseraquizzes/assignments for mathematics for machine learning specialization on coursera
A curated list of natural language processing courses, video lectures, books, library and many more.
This repo contains the Applied Ai Course Assignments and Notes.
Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.
Implementation of a text clustering algorithm using Kmeans clustering in order to derive quick insights from unstructured text
Discovering and visualizing the data to gain insights,preparing it for Machine Learning algorithms and selecting a model to train
Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy
Recommendation System using MLlib and ML libraries on Pyspark
Sample code for pyspark
Detailed notes and code to learn machine learning with Apache Spark.
This repository contains Spark, MLlib, PySpark and Dataframes projects
Units and exercises for learning Apache UIMA Ruta
Fundamentals of Spark with Python (using PySpark), code examples