aliisoli

ai_trading

An all in one project where supervised, unsupervised and deep learning come together to predict the price of stocks

apache-spark

Using big data with Spark on IBM Watson Studios to predict when customers are likely to churn

candlesticks_study

Statistical study of accuracy of candlestick patterns in predicting the stock market and their occurrence

charity-ML

Apply supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

class-imbalance-medium-article

case study and visualizations notebooks for an article published on medium and towards data science about treating class imbalance

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

dog-breed-classifier

Using transfer learning with CNNs to develop a model that identifies the breed of dogs

identify-customer-segments

Used unsupervised learning to predict what type of demographics are more likely to become a customer

nlp-text-classification-figure8

NLP Text message Classifier that predicts whether a message is related to a disaster. It also classifies the content of the text into 36 categories

pytorch-image-classifier

Use deep learning to identify the type of flower/plant

aliisoli/candlesticks_study

Statistical study of accuracy of candlestick patterns in predicting the stock market and their occurrence

aliisoli/ai_trading

An all in one project where supervised, unsupervised and deep learning come together to predict the price of stocks

aliisoli/apache-spark

Using big data with Spark on IBM Watson Studios to predict when customers are likely to churn

aliisoli/charity-ML

Apply supervised learning techniques on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause

aliisoli/class-imbalance-medium-article

case study and visualizations notebooks for an article published on medium and towards data science about treating class imbalance

aliisoli/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

aliisoli/dog-breed-classifier

Using transfer learning with CNNs to develop a model that identifies the breed of dogs

aliisoli/identify-customer-segments

Used unsupervised learning to predict what type of demographics are more likely to become a customer

aliisoli/nlp-text-classification-figure8

NLP Text message Classifier that predicts whether a message is related to a disaster. It also classifies the content of the text into 36 categories

aliisoli/pytorch-image-classifier

Use deep learning to identify the type of flower/plant

aliisoli/Fyyur

Flask python website.

aliisoli/fyyure

aliisoli/recommendations-IBM

building out a number of different methods for making recommendations that can be used for different situations

aliisoli/todo-app

aliisoli/traveling-salesman

Appendix repository for Medium article "Routing Traveling Salesmen on Random Graphs using Reinforcement Learning, in PyTorch"