emmanuel-123tech/Heart-Disease-Classification-Using-Machine-Learning emmanuel-123tech/Heart-Disease-Classification-Using-Machine-Learning

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Jupyter Notebook
  • Created over 3 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
emmanuel-123tech/Heart-Disease-Classification-Using-Machine-Learning
github

emmanuel-123tech

Reviews

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

Repository Details

More Repositories

1

AI4D-Africa-s-Anglophone-Research-Lab-Tanzania-Tourism-Classification-Challenge

Can you use tourism survey data and ML to classify the range of expenditures a tourist spends in Tanzania?
Jupyter Notebook
4
star
2

DATASET

3
star
3

Emmanuel-Ebiendele

3
star
4

Predicting-the-Sale-Price-of-Bulldozers-using-Machine-Learning

R
3
star
5

NIGERIA-COVID-19

Jupyter Notebook
3
star
6

AI-SQUAD-2ND-PLACE-WINNING-SOLUTION-AI4D-Africa-s-Anglophone-Research-Lab-Tanzania-Tourism-Classific

Can you use tourism survey data and ML to classify the range of expenditures a tourist spends in Tanzania?
2
star
7

3rd_place_solution_Trailblazers-Nigerian-Qualification-Challenge

1
star
8

emmanuel_9th_place_solution_Max-IndabaX-Nigeria-Hackathon-

Predict the likelihood of a lead reaching the last stage (onboarding) quicker than others. This will enable the team to channel resources and efforts toward converting such leads. The model that says the type of leads to after, so we donโ€™t waste resources. (In terms of age, geography, marital status, and other lead qualities) Your task is to build machine learning to help the business in saving costs. Note: Maximum Submission per day Predict the likelihood of a lead reaching the last stage (onboarding) quicker than others. This will enable the team to channel resources and efforts toward converting such leads. The model that says the type of leads to after, so we donโ€™t waste resources. (In terms of age, geography, marital status, and other lead qualities) Your task is to build machine learning to help the business in saving costs. Note: Maximum Submission per day is 20. Kindly have good cross validation to optimise your solution and submission.
1
star