Suman Mhalsank's Projects
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Curated Collection of BCI resources
A topic-centric list of HQ open datasets.
Correlation between 5 stock prices
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Text Recognition
Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggleβs movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Wunderkind! π A High FlyerβΎ
An Open Source Machine Learning Framework for Everyone
Trade Calls using Simple Moving Averages and Bollinger Bands
Trends in Stock Market based on Daily Percentage Change