hamdiloulad Goto Github PK

airline.review.analysis

This project involved scraping airline reviews from Skytrax website, cleaning the data, and conducting analysis using Python. Insights were gained through topic modelling, sentiment analysis, and word clouds. The final output was a comprehensive dataset and analysis report.

analysis-of-sales-patterns-and-consumer-behavior-a-case-study-on-chip-purchases

I analyzed transaction data for Quantum, developing metrics and visualizations using R/Python to enhance sales strategy. Utilizing the Pyramid Principles, I provided actionable insights for improving sales performance.

geeksblabla-community-competition-finding-morocco-s-most-affordable-city

In the GeeksBlaBla competition, I used C and Python to analyze a 100 million-row dataset with city, product, and price features. The goal was to pinpoint Morocco's most budget-friendly city, offering insights for affordable installations.

hamdi122

microalgae-growth-modeling

I developed a microalgae growth model for aquaculture, incorporating five key features to optimize growth and economic costs. Using this model, I determined the optimal values for each feature to enhance growth rates and minimize expenses.

predictive-modeling-and-evaluation_of_customer-booking

This project centers on predicting customer bookings for an airline company. It involves data preparation, cleaning, and preprocessing, ultimately culminating in the construction of a high-accuracy predictive model.

species-identification-of-microalgae-through-using-resnet50

Using ResNet50 in Keras and wandb for tracking, this project focuses on classifying microalgae species from images.