mansipatel2508
Always aiming to keep learning, exploring and experiencing new errors/obstacles. A learner, positive thinker, a listener, and a job seeker.
California State University, SacramentoSacramento, California
Pinned Repositories
ganspace
Discovering Interpretable GAN Controls
Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
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
Network-Intrusion-Detection-with-Feature-Extraction-ML
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
Python and Machine Learning Source Code
Stock-Price-Prediction-Time-Series-with-NN
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.
Yelp-Review-Stars-Prediction-with-Machine-Learning
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.
mansipatel2508's Repositories
mansipatel2508/Image-Forgery-Detection-CNN-vs-Transfer-Learning-Comparison
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
mansipatel2508/Network-Intrusion-Detection-with-Feature-Extraction-ML
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.
mansipatel2508/Stock-Price-Prediction-Time-Series-with-NN
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.
mansipatel2508/Yelp-Review-Stars-Prediction-with-Machine-Learning
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.
mansipatel2508/Python-and-Machine-Learning
Python and Machine Learning Source Code
mansipatel2508/ganspace
Discovering Interpretable GAN Controls