Raheem Nasirudeen Adeleye's Projects
Recently, there has been an increase in the number of building collapse in Lagos and major cities in Nigeria. Olusola Insurance Company offers a building insurance policy that protects buildings against damages that could be caused by a fire or vandalism, by a flood or storm. You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building. The model will be based on the building characteristics. The target variable, Claim, is a: 1 if the building has at least a claim over the insured period. 0 if the building doesn’t have a claim over the insured period.
Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.
Sales forecasting is the foundation of a business’s financial story. Once you have your sales forecast you can create profit and loss statements, cash flow statements and balance sheets, thus helping you set goals for your company. Proper forecasting also ensures you have the right stock at all times and leads to less wasted stock. Having the skill to create a sales forecast will help you manage anything from a small business up to a large company, where you need to inform investors about your forecasts for a months, quarter or a year. The objective of this challenge is to create a model to forecast the number of products purchased per week per store over the next eight weeks, for grocery stores located in different areas in the same country. The solution to this challenge can be used by small chain stores to know how much stock to order per week and per month.
World Mental Health Day is celebrated on October 10 each year. The objective of this day is to raise an awareness about mental health issues around the world and mobilise efforts in support of mental health. According to an anonymous survey, about 450 million people live with mental disorders that can be one of the primary causes of poor health and disability worldwide. You are a Machine Learning engineer in a company. You are given a task to understand and observe the mental health of all the employees in your company. Therefore, you are required to predict the burn out rate of employees based on the provided features thus helping the company to take appropriate measures for their employees.
HR ANALYTICS
American Express and Analytics Vidhya presents “AmExpert”. An amazing opportunity to showcase your analytical abilities and talent. Get a taste of the kind of challenges we face here at American Express on day to day basis.
Shiv Nadar Institution of Eminence is a student centric, multidisciplinary and research focused university offering a wide range of academic programs at the Undergraduate, Masters and Doctoral levels.
Requirement data science assessment for Car industry
We must find innovative ways that are easy and safe to get testing and treatment done and prevent new infections, or we will see another generation with millions forced to live with HIV. In this project, we are going to have a machine learning model to determine the likelihood a test been positive or Negative and identifying the factors(features) that makes a test to be positive or negative.
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
predicting customer churn
Cross-selling identifies products or services that satisfy additional, complementary needs that are unfulfilled by the original product that a customer possesses. As an example, a mouse could be cross-sold to a customer purchasing a keyboard. Oftentimes, cross-selling points users to products they would have purchased anyways; by showing them at the right time, a store ensures they make the sale. Cross-selling is prevalent in various domains and industries including banks. For example, credit cards are cross-sold to people registering a savings account. In ecommerce, cross-selling is often utilized on product pages, during the checkout process, and in lifecycle campaigns. It is a highly-effective tactic for generating repeat purchases, demonstrating the breadth of a catalog to customers. Cross-selling can alert users to products they didn't previously know you offered, further earning their confidence as the best retailer to satisfy a particular need.
Cross-selling identifies products or services that satisfy additional, complementary needs that are unfulfilled by the original product that a customer possesses. As an example, a mouse could be cross-sold to a customer purchasing a keyboard. Oftentimes, cross-selling points users to products they would have purchased anyways; by showing them at the right time, a store ensures they make the sale. Cross-selling is prevalent in various domains and industries including banks. For example, credit cards are cross-sold to people registering a savings account. In ecommerce, cross-selling is often utilized on product pages, during the checkout process, and in lifecycle campaigns. It is a highly-effective tactic for generating repeat purchases, demonstrating the breadth of a catalog to customers. Cross-selling can alert users to products they didn't previously know you offered, further earning their confidence as the best retailer to satisfy a particular need.
This notebook is to get started with submitting for CrunchDao.
This notebook uses Lime and shapely values to explain the black box the model using a cross selling approach to know the customer that will be interested in buying a vehicle insurance
Formula 1 is one of the most competitive sports in the world. Engineers and technicians from every team use weather radar screens, provided by Ubimet to the teams, which allows them to track the current weather and make predictions during the race.
This project find insight from both Text and Quantitative to answer business problems.
The Big Game is the annual American football championship and one of the most celebrated events in the history of sports. It is not only one of the most-watched sports events across the globe, but also has the reputation of being the second-largest day in terms of food consumption in the US. Every fan eagerly waits for the Game Day to find out if their favorite team wins.
housepredict
logistic regrssion
The goal of the project is to build a time series or machine learning model that will accurately forecast what the Naira rate against the dollar will be in the next 2 weeks, ranging from May 22, 2024, to June 4, 2024.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent