mahsa-teimourikia

AdvertisingClickPrediction

Predicting if internet users will click on the advertisement or not using a Logistic Regression Model

Applied-Deep-Learning

Applied Deep Learning

CustomerFidality

This is a customer fidality analysis project using a graph-based NoSQL database called HyperGraphDB

EcommerceCustomerAnalysis

Analysing the E-Commerce Customer data for improving the sales using Linear Regression.

From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Handy

Gesture Recognition System using Microsoft Kinect

image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

recommenders

Best Practices on Recommendation Systems

Safety-Ontology

This is an ontology for extracting the safety knowledge in industry 4.0. It is developed using Protégé and OWL.

SentimentAnalysis

Sentiment Analysis of Reviews

mahsa-teimourikia/AdvertisingClickPrediction

Predicting if internet users will click on the advertisement or not using a Logistic Regression Model

mahsa-teimourikia/Handy

Gesture Recognition System using Microsoft Kinect

mahsa-teimourikia/Applied-Deep-Learning

Applied Deep Learning

mahsa-teimourikia/CustomerFidality

This is a customer fidality analysis project using a graph-based NoSQL database called HyperGraphDB

mahsa-teimourikia/From-0-to-Research-Scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

mahsa-teimourikia/image-super-resolution

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

mahsa-teimourikia/recommenders

Best Practices on Recommendation Systems

mahsa-teimourikia/Safety-Ontology

This is an ontology for extracting the safety knowledge in industry 4.0. It is developed using Protégé and OWL.

mahsa-teimourikia/SentimentAnalysis

Sentiment Analysis of Reviews

mahsa-teimourikia/SteelPlateFault

mahsa-teimourikia/articles

Code related to my articles.

mahsa-teimourikia/awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

mahsa-teimourikia/BasicMovieRecommenderSystem

This is a basic recommender system for movies

mahsa-teimourikia/ClusteringAlgorithmsReview

mahsa-teimourikia/creative_ai

Creative AI

mahsa-teimourikia/DataReduction

mahsa-teimourikia/DecisionTreesAndRandomForestsInPython

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.

mahsa-teimourikia/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

mahsa-teimourikia/deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

mahsa-teimourikia/DeepLearningIntroduction

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.

mahsa-teimourikia/fairlearn

A Python package to assess and improve fairness of machine learning models.

mahsa-teimourikia/KaggleHousePricePredictions

Kaggle's "House Price Prediction" using Regression techniques

mahsa-teimourikia/KNearestNeighborsWithPython

This is a review of the K-Nearest Neighbor algorithm theory, with an example showing its use in Python

mahsa-teimourikia/LinearRegressionWithPython

A tutorial on Linear Regression Theory and its use on Python, with an example for predicting housing prices.

mahsa-teimourikia/LogisticRegressionWithPython

Introduction on Logistic Regression and its use in Python using the Titanic Dataset

mahsa-teimourikia/machine_learning_examples

A collection of machine learning examples and tutorials.

mahsa-teimourikia/RecurrentNeuralNetworks

An introduction to RNNs and an example implementation of RNN in TensorFlow for sequential time series data.

mahsa-teimourikia/SMSSpamDetector

An SMS spam detector is developed using Naive Bayes Model

mahsa-teimourikia/SpamDetector

The goal is to develop a spam detector using the classification methods on UCI's spam-base data

mahsa-teimourikia/TopMoviesMapReduce

Using MapReduce to get the sorted list of most popular movies from the movie ratings dataset