chinmayjoshi789/ML-Bank-models-Classification chinmayjoshi789/ML-Bank-models-Classification

  • Stars
    star
    2
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated over 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
chinmayjoshi789/ML-Bank-models-Classification
github

chinmayjoshi789

Reviews

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

Repository Details

Tried bank loan classification with different models

More Repositories

1

Bigmartsales-Regression

Sales Prediction for Big Mart Outlets The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and predict the sales of each product at a particular outlet. Using this model, BigMart will try to understand the properties of products and outlets which play a key role in increasing sales. Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
Jupyter Notebook
5
star
2

Webscraping

webscraping using beautiful soup
Jupyter Notebook
3
star
3

Telecom-churn-Classification

All classification models
Jupyter Notebook
3
star
4

MLSP-hack-3-HR-analytics-Classification

HR analytics is revolutionising the way human resources departments operate, leading to higher efficiency and better results overall. Human resources has been using analytics for years. However, the collection, processing and analysis of data has been largely manual, and given the nature of human resources dynamics and HR KPIs, the approach has been constraining HR.
Jupyter Notebook
3
star
5

insurance-potential-cust-Classification

Direct mailings to a companyโ€™s potential customers โ€“ โ€œjunk mailโ€ to many โ€“ can be a very effective way for them to market a product or a service. However, as we all know, much of this junk mail is really of no interest to the people that receive it. Most of it ends up thrown away, not only wasting the money that the company spent on it, but also filling up landfill waste sites or needing to be recycled.If the company had a better understanding of who their potential customers were, they would know more accurately who to send it to, so some of this waste and expense could be reduced.
Jupyter Notebook
3
star
6

Ecommerce-Regression

Predicting yearly amount sales based on input features using basic regression techniques and feature selections
Jupyter Notebook
2
star
7

Credit-card-loan-defaulter-Classification

Applied ML classification models
Jupyter Notebook
2
star
8

Car-Crash-Severity-Classification-GL-Hackathon

Jupyter Notebook
2
star
9

MH-used-car-sales-Regression

Jupyter Notebook
2
star
10

AV-Mobility-analytics-EDA-Classification

Ola uber Multiclass classification with EDA file
Jupyter Notebook
1
star
11

HerokuDeploy

Implementing Basic ML model deployment to test if a person has heart disease or not by using heroku platform!
Jupyter Notebook
1
star