Logan Sargsyan (SLilit)

SLilit

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Location:San Francisco Bay Area

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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.

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SmartCab

Apply reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.

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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.

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AI-Agent-Playing-2048-Game

Adversarial Search Alpha-Beta Pruning

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AI-Agent-Solving-Sudoku

Constraint-Satisfaction-Problems

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Boston_housing

Built Supervised Learning Model using Boston housing prices dataset to predict housing price in the Boston housing Area.

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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.

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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.

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machine-learning

Content for Udacity's Machine Learning curriculum

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seglink

Detecting text by linking segments.

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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.

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