Mitchell-Odili/Commercial-Air-Travel-Analysis Mitchell-Odili/Commercial-Air-Travel-Analysis

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
Mitchell-Odili/Commercial-Air-Travel-Analysis
github

Mitchell-Odili

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Exploratory data analysis is an important part of analytical strategy. In this repository, we analyze flights from San Francisco International airport to various destinations from 2005 to 2008.

More Repositories

1

Measuring-Carbon

Use of Satellite imagery and AI to support decarbonization efforts; offering a path for standardized, affordable and easy to use monitoring, reporting and verification of carbon emissions
Jupyter Notebook
1
star
2

Walmart-store-sales-forecast

In this repository, I use supervised machine learning models i.e. decision trees, random forests and xgboost to predict retail sales for 45 Walmart stores located in different regions.
Jupyter Notebook
1
star
3

Credit-Card-Fraud-Detection

This notebook highlights some of the widely used supervised machine learning techniques applied i.e. Decision Trees, Logistic Regression, Random Forest and XGBoost for credit card fraud detection problems
Jupyter Notebook
1
star
4

Breast-Cancer-Wisconsin-Diagnostic-Dataset

Logistic regression is a commonly used technique for solving binary classification problems. In this repository, we train a logistic regression model using the Breast Cancer Wisconsin dataset to predict whether a cancer is benign or malignant
Jupyter Notebook
1
star
5

Grupo-Bimbo-Inventory-Demand

In this repository, we will forecast the demand of a product for a given week, at a particular store based on historical sales data.
Jupyter Notebook
1
star