Logan Sargsyan's repositories
Dog_project
Given an image of a dog, the algorithm will identify an estimate of the canine’s breed. If supplied an image of a human, the code will identify the resembling dog breed.
Toxic_Comment_Classification
Given a comment (text), the algorithm finds out if it’s toxic and returns the probabilities for every 6 different types of toxicity.
AI-Agent-Playing-2048-Game
Adversarial Search Alpha-Beta Pruning
AI-Agent-Solving-8-Puzzle-Problem
Search Algorithms
AI-Agent-Solving-Sudoku
Constraint-Satisfaction-Problems
Boston_housing
Built Supervised Learning Model using Boston housing prices dataset to predict housing price in the Boston housing Area.
Customer_segments
Apply unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data. Compare the segmentation found with an additional labeling and consider ways this information could assist the wholesale distributor with future service changes.
Finding_donors
Apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
machine-learning
Content for Udacity's Machine Learning curriculum
Titanic_survival_exploration
Create decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.