Understanding emotions from audio files using neural networks and multiple datasets.
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Updated
Jul 1, 2023 - Python
Understanding emotions from audio files using neural networks and multiple datasets.
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Artificial intelligence (AI, ML, DL) performance metrics implemented in Python
Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning.
Faces recognition example using eigenfaces and SVMs
Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images
Conducted data analysis, statistical analysis, and data visualization on an Indian crime dataset. Applied various machine learning algorithms to gain insights from the data. Utilized Time-Series models for prediction and forecasting based on the crime data analysis.
Sentiment analysis on customer reviews using machine learning and python
Tool demonstrating building credit risk models
Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample th…
Faces recognition example using eigenfaces and SVMs
Supervised Machine Learning and Credit Risk
This is in regard to algorithmic trading bot with the use of machine learning to predict potential returns and actual returns.
NU Bootcamp Module 20
The project aims to apply Naives Bayes on TF-IDF and Word2Vec Models .Use one of Selection Best Feature techniques to chose only features that contribute to the performance of the prediction
predict where the patient will be discharged to before surgery
This repo is about Machine Learning and Classification
A collection of statistical methods
This is projects of Data Mining
Different networks, 2D CNN, 1X1 filter, VGG16 and Inception network is used for predicting breast cancer from histopathological images. Performance of different models are compared and found out that InceptionNet performed the best.
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