The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.
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Updated
May 31, 2023 - Jupyter Notebook
The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.
This repository contains codes in python to categorize images from CIFAR-10 data set by using Convolutional Neural Network (CNN)
Using neural network binary classification to predict if donations to organizations are successful.
유전알고리즘과 인공신경망을 활용허여 마리오 학습
Various applications of deep learning have been demonstrated.
Фреймворк глубоко обучения на Numpy, написанный с целью изучения того, как все работает под "капотом".
This project involves the use of classical neural networks for the computation of the heat equation with Neumann boundary conditions and a gaussian distribution as initial condition.
Backward pass of ReLU activation function for a neural network.
Create manually a Neural Network model to predict unicode chars
Breast Cancer Detection using Deep Neural Network: In these project I worked on sklearn datasets and predicted "Malignant" or "Benign" on breast cancer dataset with 94% Accuracy.
Experimenting different neural network architectures for detecting spam emails
This repository summarizes the basic concepts, types and usage scenarios of activation functions in deep learning.
A Pytorch Project with flask API to predict handwritten digits using MNIST Dataset.
Hackathon project. This project uses object detection to identify and classify waste detected in the image with the help of image detection in python and neural networks.
Image classification of handwritten numbers in MNIST dataset.
Image Classification, Python, Feedforward-Neural-Network, Tensorflow, Keras, CNN, ReLu
Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignment-6
Good Seed were employed Data Science for alcohol law compliance. My role includes using specialized cameras at checkout for alcohol buys, applying advanced computer vision for age verification, and designing a model to confirm age. I built a model with ResNet50 and 'relu', using a single neuron to output.
Text Generation
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