nasirudeenraheem

-Data-Science-Nigeria-2019-Challenge-1-Insurance-Prediction-AXAMansard-Insurance-Hackathon

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.

1st_Placa_Solution_Ai_Hack_Tunisia-2022

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.

Analytics-Olympiad-2022

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.

Cross-Selling-approach

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.

HackerEarth-Machine-Learning-challenge-Who-wins-the-Big-Game-

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.

Liver_Disease_Prediction

This Machine Learning Challenge requires participants to create predictive models to predict the stage of liver Cirrhosis using 18 clinical features. Cirrhosis damages the liver from a variety of causes leading to scarring and liver failure. Hepatitis and chronic alcohol abuse are frequent causes of the disease. Liver damage caused by cirrhosis can't be undone, but further damage can be limited. Treatments focus on the underlying cause. In advanced cases, a liver transplant may be required. Predicting the stage of cirrhosis and beginning the treatment before it's too late can prevent the fatal consequences of the disease.

Mobile-Money-and-Financial-Inclusion-in-Tanzania-Challenge

3rd place WINNING SOLUTION APPROACH on Mobile-Money-and-Financial-Inclusion-in-Tanzania-Challenge

Nfts-sentiment-analysis

We are currently living in a world, where there is a massive explosion of digital assets - hundreds of blockchains, thousands of metaverses, tens of thousands of NFT collections, and millions of NFTs. Also, this number is growing rapidly day by day. So there is a dire need to identify the new and trending NFT collections across different blockchains to keep up with the latest happenings. Social media plays a crucial role in today’s NFT world. Collectors flaunt their NFT arts on social media platforms which become viral soon. So the aim of this challenge is to identify those collections early using these social media signals. Identify the trending NFT collections on Twitter using Twitter data on a daily basis and analyze their sentiments.

Predict-The-Flight-Ticket-Price-Hackathon

Flight ticket prices can be something hard to guess, today we might see a price, check out the price of the same flight tomorrow, it will be a different story. We might have often heard travellers saying that flight ticket prices are so unpredictable. Huh! Here we take on the challenge! As data scientists, we are gonna prove that given the right data anything can be predicted. Here you will be provided with prices of flight tickets for various airlines between the months of March and June of 2019 and between various cities.

Xente-Fraud-Detection-Challenge

The objective of this competition is to create a machine learning model to detect fraudulent transactions. Fraud detection is an important application of machine learning in the financial services sector. This solution will help Xente provide improved and safer service to its customers. This competition is sponsored by Xente, Innovation Village, and insight2impact. About Xente (xente.co)

nasirudeenraheem/1st_Placa_Solution_Ai_Hack_Tunisia-2022

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.

nasirudeenraheem/Nfts-sentiment-analysis

We are currently living in a world, where there is a massive explosion of digital assets - hundreds of blockchains, thousands of metaverses, tens of thousands of NFT collections, and millions of NFTs. Also, this number is growing rapidly day by day. So there is a dire need to identify the new and trending NFT collections across different blockchains to keep up with the latest happenings. Social media plays a crucial role in today’s NFT world. Collectors flaunt their NFT arts on social media platforms which become viral soon. So the aim of this challenge is to identify those collections early using these social media signals. Identify the trending NFT collections on Twitter using Twitter data on a daily basis and analyze their sentiments.

nasirudeenraheem/Analytics-Olympiad-2022

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.

nasirudeenraheem/Liver_Disease_Prediction

This Machine Learning Challenge requires participants to create predictive models to predict the stage of liver Cirrhosis using 18 clinical features. Cirrhosis damages the liver from a variety of causes leading to scarring and liver failure. Hepatitis and chronic alcohol abuse are frequent causes of the disease. Liver damage caused by cirrhosis can't be undone, but further damage can be limited. Treatments focus on the underlying cause. In advanced cases, a liver transplant may be required. Predicting the stage of cirrhosis and beginning the treatment before it's too late can prevent the fatal consequences of the disease.

nasirudeenraheem/CrunchoDao-Master-data-Notebook

This notebook is to get started with submitting for CrunchDao.

nasirudeenraheem/Aviro_health_challenge

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.

nasirudeenraheem/Insurance-Claim-Prediction

Our client is an Insurance company that provides insurance for cars to its customers. In this hackathon, you will be closely working with the insurer in understanding the behaviour of the policyholders.

nasirudeenraheem/introduction-to-github

nasirudeenraheem/Udacity-data-visualization

nasirudeenraheem/Explaianble-AI-cross-selling-

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

nasirudeenraheem/HACK_THE_FEED_DICEY_TECH_SOLUTION

This project find insight from both Text and Quantitative to answer business problems.

nasirudeenraheem/kaggle-feedback3-efficiency-1st-place

1st place (Efficiency Track) solution for Feedback Prize - English Language Learning Kaggle competition

nasirudeenraheem/MachineHack

nasirudeenraheem/Cross-Selling-approach

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.

nasirudeenraheem/01_Python_Introduction

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.

nasirudeenraheem/3rd-Place-Solution-on-Predict-the-HackerEarth-employee-burn-out-rate-on-

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.

nasirudeenraheem/Cross-Selling

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.

nasirudeenraheem/Data_Cleaning_Transformation

nasirudeenraheem/Formular1-hack-2022

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.

nasirudeenraheem/freecodecamp_spacy

nasirudeenraheem/IndabaXNigeria2023

nasirudeenraheem/My-resume

nasirudeenraheem/My-resume-mlsa

nasirudeenraheem/NasirudeenRaheem

nasirudeenraheem/odsc-west-2022

Workshop for Open Data Science Conference East 2022

nasirudeenraheem/python-business-analytics

Python solutions to solve practical business problems.

nasirudeenraheem/Sarcastic_Prediction

In this challenge, you will work on a dataset that contains news headlines - which are aimed to be written in a sarcastic manner by the news author. Our job here is to build our NLP models and predict whether the headline is sarcastic or not.

nasirudeenraheem/SATechnicalOnboarding

nasirudeenraheem/Uber-Nairobi-Ambulance-Perambulation-Challenge

This is Uber Nairobi Ambulance Perambulation Challenge on Zindi

nasirudeenraheem/Umojahack