Mahitab Hassan's repositories
Simple-Movie-Booking-Chat-Bot-using-Slots
This is repository is aimed at helping anyone get started with understanding how to use Watson Assistant service to create a simple chat bot that will book seats to a movie for you.
Simple-Exercises-In-NodeRED
Some exercises to help understand how to use NodeRED.
Atlantic-Hurricane-Forecasting-using-LSTM
A Python deep learning framework for forecasting Atlantic Hurricane intensity using LSTM.
Data-Science-with-Python-from-Cognitive-Class
To develop your core competencies in applying data science to your business, you or your technical team will need to learn to (1) import data from various sources, (2) clean data, (3) analyze data, and (4) visualize data. This learning path will get your team up and running with data science in Python.
Facial-Emotion-Recognition-using-NodeRED
This repository aims to introduce NodeRED and provide the reader the starting points through which he/she can build an application that utilizes a Facial Emotion Recognition (FER) api and NodeRED. This was inspired from the application "LOOK AT ME" that is aimed at Autistic children. LOOK AT ME app gamifies interactions, helping users learn to read moods, remember faces, and express themselves with facial expressions and poses. Children with autism spectrum conditions (ASC) have major difficulties in recognizing and responding to emotional and mental states in others' facial expressions. Such difficulties in empathy underlie their social-communication difficulties that form a core of the diagnosis (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2781897/).
IntroToML
In this repository, we will be exploring and focusing on the IBM Watson Data Platform to dive into working with the Machine Learning pipeline. This will include performing activities from data cleansing using the IBM Data Refinery service to creating a simple machine learning model using the IBM Watson Machine Learning service and creating an interactive dashboard using the Cognos Dashboard Embedded service to visualize data.
100-nlp-papers
100 Must-Read NLP Papers
analyze-call-center-calls-with-watson
Hands-on Python + IBM Watson lab being presented at IBM Think2018 conference in March 2018
assistant-simple
A simple sample application demonstrating the Watson Assistant api.
carbon-tutorial-angular
An Angular app for the Carbon Design System tutorial
course-nlp
A Code-First Introduction to NLP course
deep-learning-course
Deep Learning Course
IEEEDSWorkshop
To develop your core competencies in applying data science to your business, you or your technical team will need to learn to (1) import data from various sources, (2) clean data, (3) analyze data, and (4) visualize data. This learning path will get your team up and running with data science in Python. Link to Learning Path: https://cognitiveclass.ai/learn/data-science-with-python/. Links of the notebooks to add them on Watson Studio
kfp-tekton
Kubeflow Pipeline with Tekton backend. Enables SDK functionalities (Compile, Upload, Launch) and KFP UI with execution and artifact tracking
KubeflowDojo
Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo
openshift-on-ibm-cloud-workshops
OpenShift on IBM Cloud Workshops
qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
refarch-ml-ops
Reference architecture for machine learning operations
Simple-Movie-Booking-Chat-Bot
This is repository is aimed at helping anyone get started with understanding how to use Watson Assistant service to create a simple chat bot that will book seats to a movie for you.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning