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Name: Mahsa Teimourikia
Type: User
Bio: PhD in Computer Science; AI, Deep Learning, and Machine Learning are my passions.
Twitter: teimourikia
Location: Vancouver, Canada
Name: Mahsa Teimourikia
Type: User
Bio: PhD in Computer Science; AI, Deep Learning, and Machine Learning are my passions.
Twitter: teimourikia
Location: Vancouver, Canada
Predicting if internet users will click on the advertisement or not using a Logistic Regression Model
Applied Deep Learning
Code related to my articles.
A curated list of awesome Machine Learning frameworks, libraries and software.
An extended version of Balana (provided by WSO2) which implements a XACML 3.0 conflict analyzer, based on set theory.
This is a basic recommender system for movies
Creative AI
This is a customer fidality analysis project using a graph-based NoSQL database called HyperGraphDB
Data Science and Machine Learning with Python
This is a tutorial on tree model theory, including decision trees, boosting, bagging and random forests. An example of using decision trees and random forests in shown is python.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
This is a introduction to deep learning and showing a use-case in which deep learning can be used for classifying complex data which is not linearly.
Analysing the E-Commerce Customer data for improving the sales using Linear Regression.
A Python package to assess and improve fairness of machine learning models.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
This is a repository for course materials for getting and Cleaning Data
Gesture Recognition System using Microsoft Kinect
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Kaggle's "House Price Prediction" using Regression techniques
This is a review of the K-Nearest Neighbor algorithm theory, with an example showing its use in Python
A tutorial on Linear Regression Theory and its use on Python, with an example for predicting housing prices.
Introduction on Logistic Regression and its use in Python using the Titanic Dataset
My Assignments of Coursera Machine Learning Specialization using Scikit-Learn, Pandas, Numpy and Scipy
A collection of machine learning examples and tutorials.
Predicting Police Attendance on Road Accidents
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.