Amal's repositories

Landmark-Classification-CNN

Udacity Deep Learning Nanodegree Program. Landmark Classification & Tagging for Social Media using Convolutional Neural Networks (CNNs)

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

classify-arabic-poetry

Code and dataset for building a machine learning model that classifies Arabic poetry according to the poetry meter.

Language:PythonStargazers:0Issues:0Issues:0

data-science

:bar_chart: Path to a free self-taught education in Data Science!

License:NOASSERTIONStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Decryption-AES-128-

Experimenting with AES-128 symmetric key cipher.

Language:JavaStargazers:0Issues:0Issues:0

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Face-Mask-Detection

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

Hotel-booking-cancellation-prediction-

Booking cancellations have a substantial impact on hotel management systems. It affects the services, decreases revenue, and limits the production of accurate booking forecasts. To overcome the effect of cancellations, some hotels use strict cancellations policies and define overbooking tactics. However, these regulations have a negative impact on the number of bookings and on hotel reputation which in turn leads to revenue loss. The goal of this project is to minimize the losses by using the power of data science and machine learning algorithms to build a classification model to predict which bookings are likely to cancel. This is helpful for revenue management, supplies purchases, and pricing decisions as well.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

Predicting-Bike-Sharing-Patterns

Predicting daily bike rental ridership. (My First Neural Network)

Language:PythonStargazers:0Issues:0Issues:0

RestaurantsRecommendation-EDA

A restaurant consolidator is looking to revamp the B2C portal using intelligent automation tech. This requires a different matrix to identify the star restaurants and generate recommendations. To make sure an effective model can be achieved, it is important to understand the behavior of the data in hand. There are 2 datasets, data and Country-Code. Dataset data has 19 attributes and Country-Code has two attributes.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

spaCy

đź’« Industrial-strength Natural Language Processing (NLP) in Python

License:MITStargazers:0Issues:0Issues:0

TV-Script-Generation--LSTM

TV Script Generation with PyTorch. Project 3 for the Udacity Deep Learning NanoDegree.

Language:Jupyter NotebookStargazers:0Issues:0Issues:0