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advance-regression-assignment---surprise-housing

advanced-house-price-regression

Predicting house prices using advanced regression techniques such as Ridge and Lasso

advanced-regression-using-ridge-and-lasso

We are required to build a regression model using regularization in order to predict the actual value of the prospective properties and decide whether to invest in them or not.

assignment-advanced-regression

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price.

automatic-ticket-classification

NLP case study to classify user mentioned issues into topics to assign the tickets to the responsible

automatic-ticket-classification2

Automatic Customer complaint classifier system developed using multi-label classification models

autoticketassignment

Auto Ticket Assignment Application using NLP

be-healthy-system-design-case-study

System Design Case study for designing the pipeline structure for Custom CRF model

behealthy_assignment

bike-sharing-assignmennt

A US bike-sharing company wants to find out at which time or season customers want to ride a bike.

bike-sharing-assignment

This is an assignment wherein a multiple linear regression model is built to predict demand for shared bikes depending on the current trend.

bike_sharing_assignment

Predicted the demand of bikes using Multiple Linear Regression

housepriceprediction_advancedregression

A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price.

lending-club-case-eda

This analysis will give an idea about how real business problems are solved using EDA. Is this analysis we not only apply the various EDA techniques, but will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimize the risk of losing money while lending to customers.

lending-club-case-study

lending-club-case-study-1

Lending Club Case Study

lending-club-case-study-2

Using EDA to understand how consumer attributes and loan attributes influence the tendency of default.

lending-club-cs

Upgrad assignment

lendingclubcasestudy

Case study to understand driving factors (or driver variables) behind loan default.

linear-regression-bike-sharing-assignment

To understand the variables and build LR Model for Bike Sharing Rentals

linear-regression-bike-sharing-assignment2

You are required to model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good

linear_regression_bike_sharing_assignment

named_entity_recognition_healthcare_data

Named Entity Recognition in Healthcare data to identify possible diseases and their suggested treatments from a corpus of medical text containing both disease and treatment.

nlp-case-study---automatic-ticket-classification

Automated support ticket classification using NLP and ML algorithms.

semantic_processing

surprise-housing

Surprise Housing - Advanced Regression

surprise-housing-co---linear-regression

Determine: Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house.

telecom-churn-case-study1

Build a classification model for reducing the churn rate for a telecom company

telecom-churn-case-study2

telecom-churn-case-study3

Telecom-Churn-Case-Study