Pinned Repositories
Add-Check-data-to-Mdb
Checking data existence in MongoDB or add new data
adelsamir
afms
alithosData
Alithos Data interview task
Coursera_Capsotne_Project
E_Admin_Portal
excellia
IBM_Apache_Spark_Course
Sentiment_Anlysis_using_Kares_and_NLTK_including_GUI
A Sequential neural network model was built to train the movie reviews data set. Training for 20 epochs resulted in the best testing accuracy of 84%. A GUI was built to input and test different reviews.
SVM_ADs_Network_Predication
Moadell's Repositories
Moadell/IBM_Apache_Spark_Course
Moadell/FIRST
Moadell/Hackster
Files used with hackster examples
Moadell/mips-32bit
Four versions of MIPS 32bit implemented in Verilog using Vivado, ready for Simulation and Nexys4 DDR Board
Moadell/Plant-Disease-Detection
Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are said to outstand given the data is pre-processed well. On the same theory here is my approach for Detecting whether a plant leaf is healthy or unhealthy by utilizing the classical Machine Learning Models, Pre-processing the Image Data. The data was fed to 7 Machine Learning Models with 10 fold cross-validation out of which Random Forest Classifier outperformed all the other models giving an accuracy of 97% on the test set.
Moadell/Projects
Leaf Disease Detection using Image Processing and Deep Learning
Moadell/vodafone-Digitalization