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Spam-Classifier-using-Naive-Bayes
The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.Finding-Lanes-Advanced-Driver-Assistance-System-ADAS
Lane Detection System using OpenCV and PythonQuantizationInDeepLearning
This project is about using the Quantization-Aware Training method to train a keras model for Edge DevicesAvocado-Prices-Prediction
This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)Credit-Card-Frauid-Detection-using-Deep-Learning
The objective of this project is to identify the fraudulent transactions happening in E-Commerce industry using deep learning.Yelp-Review-Analysis-using-Natural-Language-Processing-NLP
In this project, Natural Language Processing (NLP) strategies will be used to analyze Yelp reviews dataObject_Tracking_APIs_Python
Generative-Adversial-Networks-GANs
Image-Segmentation-Using-UNET
Nuclei Image Segmentation using UNETDeep-Learning-on-ARM-Processors
Implementing Neural Networks on ARM ProcessorsFake-News-Detection
In this project, a TFID Passive aggressive classifier is designed to detect fake news.Traffic-Sign-Classification-Using-LeNet
In this project, a Deep Network known as LeNet will be used for traffic sign images classification.Breast-Cancer-Classification
This project is to classify breast cancer using SVM-Classifier and further improving the model using GridSearchPredict-Car-Purchasing-Amount-using-ANN
The project main goal is to obtain a relationship (model) between the Annual salary and car purchasing amount using Artificial Neural Network(ANN).Predict-Crime-Rate-in-Chicago
Predicting the Crime Rate in Chicago using Facebook's Open Source Software "Prophet".Fashion-Class-Classification
In this project, we use CNN to classify Fashion MNIST data into different categories.Movie-Recommender-System
In this project, a movie recommendation system is built using Item-based Collaborative Filter.Love Open Source and this site? Check out how you can help us