Amir Fakhim
I’m a machine-learning and AI enthusiast interested in Time-series analysis, Recommender systems, Computer vision, and NLP.
I’m looking to collaborate on data science projects.
Portfolio
Recommender Systems
The project explores and compares the following algorithms and approaches for recommending movies.
- Cosine User-User Similarity
- Matrix Factorization
- Deep Neural Network Learning with Keras
- Autoencoders (AutoRec)
- Residual Learning
Garbage Classification using NASNetLarge fine-tunning
The Project presents a model that classifies waste into the following groups: cardboard, glass, metal, paper, plastic, and trash.
This model presents a system for classifying garbage, using convolutional neural networks (modified NASNetLarge structure) and trained with only about 2500 data and test accuracy of 96.5%.
Time series Analysis _ Oil Index
First I build co-occurence matrices of ingredients from Facebook posts from 2011 to 2015. Then, to identify interesting and rare ingredient combinations that occur more than by chance, I calculate Lift and PPMI metrics. Lastly, I plot time-series data of identified trends to validate my findings. Interesting food trends have emerged from this analysis.
