The ML task in this assignment is binary classification, stock market prediction, based on daily news dataset.
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Updated
Sep 2, 2021 - Jupyter Notebook
The ML task in this assignment is binary classification, stock market prediction, based on daily news dataset.
A deep cnn image classifier
A Binary Classifier based on the Cats Vs Dogs dataset served in Flask
Deep Learning using Python and Tensorflow 2.0 (binary classification)
Ameliorating Performance of Random Forest using Data Clustering | Research for a novel approach for binary class classification problem
Binary classification model using PyTorch to predict heart failure using clinical data.
Project Work for the course COMP 540, Fall'23 (Rice University).
MRI, CT Scan brain image classifier
Create a binary classifier that is capable of predicting whether applicants will be successful if funded by a charity. This involved taking a deep dive into neural networks. Initially run on google-colab
Slovenian Definition Extraction
A neural network logistic regression model that distinguishes between two dog breeds.
This tool is meant to help select the applicants for funding with the best chance of success in their ventures. The information was used to create a binary classifier that can predict whether applicants will be successful if funded.
Repository featuring my data science portfolio, showcasing projects completed during my training at Yandex.Practicum.
The primary objective of this project was to develop a predictive model capable of accurately determining whether a bank customer will maintain or close their account. Kaggle Playground Series S4E1
Neural Network built with PyTorch for the Quora Kaggle competition 🥈
A collection of very simple neural networks implemented in PyTorch.
Creating and optimizing a binary classifier that predicts whether charity organizations will be successful if funded by a fictional foundation. Done for Rutgers University's Data Science Boot Camp.
Brain MRI Images for Brain Tumor Detection using convolutional neural networks.
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