Name: Mansi Patel
Type: User
Company: California State University, Sacramento
Bio: Always aiming to keep learning, exploring and experiencing new errors/obstacles. A learner, positive thinker, a listener, and a job seeker.
Location: Sacramento, California
Blog: https://www.kickresume.com/cv/mansipatel/
Mansi Patel's Projects
Discovering Interpretable GAN Controls
The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
Python and Machine Learning Source Code
Predicting the closing stock price given last N days' data that also includes the output feature for CNN & LSTM, while predicting it for regular NN given only today's data, observing and comparing time series for various models. Additionally finding best value for N previous days and bidirectional LSTM for experiments.
The project has text vectorization, handling big data with merging and cleaning the text and getting the required columns while boosting the performance by feature extraction and parameter tuning for NN, compares the Performances through applied different models treating the problem as classification and regression both.