chinmayjoshi789/HerokuDeploy

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Created over 4 years ago
Updated over 3 years ago

chinmayjoshi789/HerokuDeploy

chinmayjoshi789

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

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.

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Webscraping

webscraping using beautiful soup

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Telecom-churn-Classification

All classification models

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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.

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insurance-potential-cust-Classification

Direct mailings to a company’s potential customers – “junk mail” to many – 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.

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Ecommerce-Regression

Predicting yearly amount sales based on input features using basic regression techniques and feature selections

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Credit-card-loan-defaulter-Classification

Applied ML classification models

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Car-Crash-Severity-Classification-GL-Hackathon

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ML-Bank-models-Classification

Tried bank loan classification with different models

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MH-used-car-sales-Regression

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AV-Mobility-analytics-EDA-Classification

Ola uber Multiclass classification with EDA file

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