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nasirudeenraheem

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This notebook is to get started with submitting for CrunchDao.

-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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

Udacity-data-visualization

HTML

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.

Jupyter Notebook

introduction-to-github

HTML

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.

Jupyter Notebook

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

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

Jupyter Notebook

AmExpert-2018-Machine-Learning-Hackathon-

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.

Jupyter Notebook

http-localhost-8888-notebooks-exract-20dataset.ipynb

Autism-Prediction

Autism, or autism spectrum disorder (ASD), refers to a broad range of conditions characterized by challenges with social skills, repetitive behaviors, speech, and nonverbal communication. According to the Centers for Disease Control, autism affects an estimated 1 in 44 children in the United States today.

Jupyter Notebook

machine-leraning

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

Jupyter Notebook

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.

Jupyter Notebook

HACK_THE_FEED_DICEY_TECH_SOLUTION

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

Jupyter Notebook

Traffic-Jam-Predicting-People-s-Movement-into-Nairobi

Description of the Problem This challenge asks you to build a model that predicts the number of seats that Mobiticket can expect to sell for each ride, i.e. for a specific route on a specific date and time. There are 14 routes in this dataset. All of the routes end in Nairobi and originate in towns to the North-West of Nairobi towards Lake Victoria.

Jupyter Notebook

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.

Jupyter Notebook

nasirudeenraheem/CrunchoDao-Master-data-Notebook

nasirudeenraheem

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