Ali Noshad's repositories
TimeSeriesClassification
In this project, we aimed to correctly classify samples in the multivariate time series format. In other words, since this is a classification problem, the objective is to correctly map the information contained in the features calculated over time to their labels.
Plant-Image-Classification
In this project we aimed to classify species of plants, which are divided into categories according to the species of the plant to which they belong. Being a classification problem, given an image, the goal is to predict the correct class label.
DeepLeukemiaNet
An Efficient Approach for Segmentation and Classification of Acute Lymphoblastic Leukemia via Optimized Spike-based Network
Deep-Residual-COVID-Net
This program is belong to A Novel Method for Detection of COVID-19 Cases Using Deep Residual Neural Network research article.
SpykeTorch
High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.
Acute-Lymphoblastic-Leukemia-Detection-using-ResNet50
Development of Classification Model for Acute Lymphoblastic Leukemia Detection using ResNet50
Neural-Network-From-Scratch
Learn how to build simple neural network from scratch in python
Convolutional_Neural_Network
object detection using Convolutional Neural Network (using only numpy lib)
Neural-Networks
in this section we build a simple neural net using python
Prediction-Of-Coronavirus-Confirmed-White-Linear-Regression
we use GRADIENT DESCENT to find the best fitting line
LogisticRegressionModel
creating a LogisticRegressionModel for classification of 32000 of employee data
scikit_learn_classifiers
accuracy of the scikit_learn classifiers