dooinn
Passionate Data Explorer. Navigating the vast seas of data to extract valuable knowledge and insights. Striving to harness the power of numbers to illuminate
Paris, Ile-de-France
Pinned Repositories
2.03_acitivties
airbnb-clone
airbnb clone coding using html and css
airline_satisfaction_analysis
art_style_classifier
Welcome to the ArtStyle & Artists WebApp! This project showcases my skills in PyTorch and NLP by leveraging machine learning and data science techniques to identify art styles from images and provide information about artists along with recommendations of similar artists.
car_sharing_case_study
chicago_crime
This project delves into Chicago's crime data from 2008 to 2022, providing a detailed analysis of crime trends in various neighborhoods.
hotel_cancellation_prediction
This project aims to address a business challenge: how to maximize the revenue of a hotel. We employ machine learning classification models to predict booking cancellations, a critical factor impacting hotel revenue.
my-travel-story-mern
real_estate_regression_analysis
This project is focused on comprehending the influential factors driving real estate prices, and utilizing Machine Learning algorithms for price prediction
taxi_location_recommender
The project's primary goal is to harness data from various sources to empower taxi drivers with actionable insights that allow them to efficiently locate high-demand areas for passenger pickups. This, in turn, is expected to reduce idle time, lower fuel consumption, and increase the profitability of their operations.
dooinn's Repositories
dooinn/taxi_location_recommender
The project's primary goal is to harness data from various sources to empower taxi drivers with actionable insights that allow them to efficiently locate high-demand areas for passenger pickups. This, in turn, is expected to reduce idle time, lower fuel consumption, and increase the profitability of their operations.
dooinn/art_style_classifier
Welcome to the ArtStyle & Artists WebApp! This project showcases my skills in PyTorch and NLP by leveraging machine learning and data science techniques to identify art styles from images and provide information about artists along with recommendations of similar artists.
dooinn/chicago_crime
This project delves into Chicago's crime data from 2008 to 2022, providing a detailed analysis of crime trends in various neighborhoods.
dooinn/hotel_cancellation_prediction
This project aims to address a business challenge: how to maximize the revenue of a hotel. We employ machine learning classification models to predict booking cancellations, a critical factor impacting hotel revenue.
dooinn/AWS-CI-CD-Projects
dooinn/bigquery
Guided workbook for big data systems, specifically Good Cloud Platform (GCP)
dooinn/chicago_crash_injury_prediction
dooinn/dooinn
Github profile README
dooinn/flaskapi
Workbook on creating our own API using flask.
dooinn/git_test_dooinn
dooinn/human_evolution_classifier
dooinn/lab-api-wrappers
dooinn/lab-cross-validation
dooinn/lab-handling-data-imbalance-classification
dooinn/lab-inferential-statistics
dooinn/lab-inferential-statistics-anova
dooinn/lab-macros-automated-report-generation
dooinn/lab-macros-intro
dooinn/lab-random-forests
dooinn/lab-revisiting-machine-learning
dooinn/lab-t-tests-p-values
dooinn/lab-unsupervised-learning-intro
dooinn/lab-web-scraping-multiple-pages
dooinn/lab-web-scraping-single-page
dooinn/lab-working-with-api
dooinn/linkedin-scrapy-project
dooinn/streamlit_file_structure
dooinn/technical_challenge_DA
dooinn/unit1_git
dooinn/unlocking_sales_success