Mahsa Teimourikia's repositories
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
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.
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
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BasicMovieRecommenderSystem
This is a basic recommender system for movies
creative_ai
Creative AI
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.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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.
KaggleHousePricePredictions
Kaggle's "House Price Prediction" using Regression techniques
KNearestNeighborsWithPython
This is a review of the K-Nearest Neighbor algorithm theory, with an example showing its use in Python
LinearRegressionWithPython
A tutorial on Linear Regression Theory and its use on Python, with an example for predicting housing prices.
LogisticRegressionWithPython
Introduction on Logistic Regression and its use in Python using the Titanic Dataset
machine_learning_examples
A collection of machine learning examples and tutorials.
RecurrentNeuralNetworks
An introduction to RNNs and an example implementation of RNN in TensorFlow for sequential time series data.
SMSSpamDetector
An SMS spam detector is developed using Naive Bayes Model
SpamDetector
The goal is to develop a spam detector using the classification methods on UCI's spam-base data
TopMoviesMapReduce
Using MapReduce to get the sorted list of most popular movies from the movie ratings dataset