Dyuti dave's Projects
TensorFlow examples
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Facilitated RNN and LSTM to predict the market indices historical data collected from last five years.
Projects completed under this course
As a part of course project, to Understand conversations found in news groups is a challenging task as they are often interwoven between other speakers and other topics. A solution using LDA is to focus on the topics that are found within each conversation.
Principal component analysis (PCA) is routinely employed on a wide range of problems. From the detection of outliers to predictive modeling, PCA has the ability of projecting the observations described by variables into few orthogonal components defined at where the data โstretchโ the most, rendering a simplified overview.
Using NLP concepts to perform analysis on selected dataset.
Training mini SOM for applications like fraud detection in credit cards.
Performed SVM on a private social networks dataset. A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problems.
Text classification with K Nearest Neighbors, Decision Tree, Random Forest, Logistic Regression, SGD Classifier, Naive Bayes, SVN Linear.