mohamed-elmelegy
A Data Scientist seeking challenges to learn, develop, evolve and create unique data-driven solutions that make real impact on business progress
Egypt
Pinned Repositories
hands-on-pyspark
hotel-reviews-analysis
image-noise-reduction
Target was to rebuild clearer versions from noised images, this has done using two different techniques to compare the results: KNN Multioutput Classifier Vs Convolutional Autoencoders.
IoT-Trend-Prediction
IoT time series forecasting (Trend Prediction) using ARIMA model in JS
Java-For-Data-Science
This contains my solutions for the practical assignments in "Java For Data Science" course in ITI-AI 9 Months Professional Training Powered By EPITA
PredictWineQuality
Visualization, some analysis, and Classification to GOOD, BAD categories that's on "Wine Quality" dataset.
seq2seq-machine-translation
Machine Translation using Sequence to Sequence model
SingleImageSuperResolution
Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.
TwitterSentimentAnalysis
Sentiment classification on Twitter data using different three algorithms: NaiveBayes, LogisticRegression and NeuralNetwork
Wuzzuf-Jobs-EDA-Web-App-Using-Java
mohamed-elmelegy's Repositories
mohamed-elmelegy/IoT-Trend-Prediction
IoT time series forecasting (Trend Prediction) using ARIMA model in JS
mohamed-elmelegy/hands-on-pyspark
mohamed-elmelegy/image-noise-reduction
Target was to rebuild clearer versions from noised images, this has done using two different techniques to compare the results: KNN Multioutput Classifier Vs Convolutional Autoencoders.
mohamed-elmelegy/Java-For-Data-Science
This contains my solutions for the practical assignments in "Java For Data Science" course in ITI-AI 9 Months Professional Training Powered By EPITA
mohamed-elmelegy/PredictWineQuality
Visualization, some analysis, and Classification to GOOD, BAD categories that's on "Wine Quality" dataset.
mohamed-elmelegy/TwitterSentimentAnalysis
Sentiment classification on Twitter data using different three algorithms: NaiveBayes, LogisticRegression and NeuralNetwork
mohamed-elmelegy/Wuzzuf-Jobs-EDA-Web-App-Using-Java
mohamed-elmelegy/hotel-reviews-analysis
mohamed-elmelegy/seq2seq-machine-translation
Machine Translation using Sequence to Sequence model
mohamed-elmelegy/SingleImageSuperResolution
Graduation Project. Applying Generative Adversarial Networks(GAN) with Residual-In-Residual(RIR) blocks.
mohamed-elmelegy/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
mohamed-elmelegy/HandWrittenDigitsClassification
Digits Dataset Classification by some of the most known algorithms with some Visualization.
mohamed-elmelegy/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
mohamed-elmelegy/MLflow-and-dvc-example
A demonstrated example using MLflow and DVC in a Machine Learning Project