A compute framework for turning complex data into vectors. Build multimodal vectors with ease and define weights at query time so you don't need a custom reranking algorithm to optimise results. Go straight from notebook to production with the same SDK.

Github repo for ML Specialization course on Coursera. Contains notes and practice python notebooks.

Exploring Python-based projects

Jupyter Notebook illustrates and compares different approaches to sentence similarity scoring.

Some notebook using Inside Airbnb data (Bologna, Italy)

A collection of notebooks on vectorization and graphs in python.

This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.

This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it cove…

This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.

This jupyter notebook has various ML classification models to detected a mail as spam or not

A repository contains Text Classification notebooks using Machine Learning, Deep Learning, Word Embeddings