AHMEDSANA

AHMEDSANA

I am an Artificial Intelligence Engineer with expertise in Machine Learning and Computer Vision.

Binary-class-Brain-Tumor-classification.

In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.

Binary-Class-Brain-Tumor-Segmentation-Using-UNET

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.

Book-Recommendation-System-using-KNN

In this project we used a k-nearest neighbors algorithm (KNN) to recommend a book based on your previous book prefrecnces.

Cost-Prediction

In this project we will predict the cost required for a patient depending on his/her health conditions.

Drowsiness-Detection

In this project we will train our model on open and close eyes dataset then use that with face recognition library to check if the driver is sleeping or not.

Four-class-Brain-tumor-segmentation.

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for training our dataset.

Simple-Computer-Vision-Codes-in-Python

In this you will find simple and easy Computer Vision Codes in Python

Spam-and-Ham-text-classifier

In this project we are using LSTM to classify texts as spam or ham.

Stable-Diffusion

In this project we will train stable diffusion model on CIFAR10 dataset and then try to generate images form ten different classes.

AHMEDSANA/Binary-Class-Brain-Tumor-Segmentation-Using-UNET

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.

AHMEDSANA/Four-class-Brain-tumor-segmentation.

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for training our dataset.

AHMEDSANA/Drowsiness-Detection

In this project we will train our model on open and close eyes dataset then use that with face recognition library to check if the driver is sleeping or not.

AHMEDSANA/Spam-and-Ham-text-classifier

In this project we are using LSTM to classify texts as spam or ham.

AHMEDSANA/Stable-Diffusion

In this project we will train stable diffusion model on CIFAR10 dataset and then try to generate images form ten different classes.

AHMEDSANA/Binary-class-Brain-Tumor-classification.

In this we trained a model to detect if there is a tumor in the brain image given to the model. Meaning a model for binary class with an accuracy of above 90 for same and cross validation.

AHMEDSANA/Cost-Prediction

In this project we will predict the cost required for a patient depending on his/her health conditions.

AHMEDSANA/Simple-Computer-Vision-Codes-in-Python

In this you will find simple and easy Computer Vision Codes in Python

AHMEDSANA/AHMEDSANA

I am an Artificial Intelligence Engineer with expertise in Machine Learning and Computer Vision.

AHMEDSANA/Book-Recommendation-System-using-KNN

In this project we used a k-nearest neighbors algorithm (KNN) to recommend a book based on your previous book prefrecnces.

AHMEDSANA/Cat-and-Dog-Classifier

In this project we will classify Dog and Cat images using Convolution Neural Network (CNN)

AHMEDSANA/Linear-Regression

Linear Regression using Matlab on a Kaggle dataset.

AHMEDSANA/NeuroDM

AHMEDSANA/Twitter-Sentiment-Analysis-using-RNN-LSTM

In this Project we will train our RNN model by giving it different tweets and then predict the sentiments of the tweets.