Student at Helwan University, studying computer science and mathematics. Passionate about cyber security with expertise in cloud computing and network security. Skilled in front-end development (HTML, CSS, JavaScript, Bootstrap) and proficient in data science and machine learning, working with sklearn, pandas, numpy, and TensorFlow. Self-taught through online courses, seeking opportunities to apply knowledge and grow in the field.
It is your job to predict the sales price for each house. For each ID in the test set, you must predict the value of the SalePrice variable. using pandas numpy for analysis and RandomForestRegressor for modeling.
For this episode of the series, your task is to use regression to predict the Mohs hardness of a mineral, given its properties.
Take a list of numbers and return a 3x3 array and calculate mean, variance, and standard deviation for rows, columns, and the entire array.
Build full-stack web applications using Flask or Django, including both front-end and back-end development.
Create professional and high-converting landing pages for businesses, products, or services using HTML, CSS, JavaScript, and Bootstrap.
Provide ongoing website maintenance, updates, and bug fixing services for existing websites built with HTML, CSS, JavaScript, Flask, or Django.
Offer basic network setup, configuration, and troubleshooting services for small businesses or home networks.
Develop and train machine learning models using algorithms like Naive Bayes, logistic regression, and linear regression with scikit-learn.
Provide data cleaning, preprocessing, and feature engineering services to prepare datasets for machine learning or analysis.