- Greater Boston area
-
23:04
(UTC -04:00) - in/maryam--ahmadi
Highlights
- Pro
Block or Report
Block or report Maryamahmadii
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuse-
Applied NLP for automated categorization of products, aligning Amazon items with CARiD’s category framework. Conducted significant statistical analysis to unearth factors influencing product popula…
-
The web scraping code extracts detailed product information, forming the foundation for ML-based categorization. Two methods are implemented for assigning category tags to products based on their t…
-
A comprehensive analysis using AR, MA, ARMA, and ARIMA models for quarterly coal power consumption forecasting. This work delves into data preprocessing, stationarity testing, trend and seasonality…
-
logistic regression is used to predict the probability of default using income and balance on the Default data set. I also estimated the test error of this logistic regression model using the valid…
-
Bank Customer Churn Prediction with Decision Tree, Random forest, Logistic Regression, KNN (K-Nearest Neighbor), and Voting Classifier.
-
-
An Object-Oriented Framework for Financial Fraud Detection in Python. Created a framework to deploy various anomaly detection and classification algorithms for model analysis.
-
-
-
In this project which won the PRME Award at Clark University Analytics competition, I used a U-Net encoder-decoder which has been initialized with ResNet50 to detect buildings with Solar Panel on t…
-
SNA-for-a-novel-analysis Public
Book analysis using social network analysis
-
Developing K-NN and Logistic Regression models to predict whether a given car gets high or low gas mileage based on the Auto data set.
-
-
Training a deep learning model to correctly classify hand-written digits.
-