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mannem srinivas's Projects

allennlp icon allennlp

An open-source NLP research library, built on PyTorch.

analytics_vidya_loan_prediction icon analytics_vidya_loan_prediction

Company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. To automate this process, they have given a problem to identify the customers segments, those are eligible for loan amount so that they can specifically target these customers. Here they have provided a partial data set.

antsynnet icon antsynnet

Distinguishing Antonyms and Synonyms in a Pattern-based Neural Network

color-palettes icon color-palettes

Using clustering algorithms to create color palettes from movie stills

datacamp_projects icon datacamp_projects

Designed by expert instructors, DataCamp Projects are an important step in your journey to become data fluent and help you build your data science portfolio to show employers.

django_checkin_system icon django_checkin_system

A checkin review system in which users can mark a location on google map and write a review about it.User can list all his checkins, update and delete them

django_cs icon django_cs

A checkin review system in which users can mark a location on google map and write a review about it.User can list all his checkins, update and delete them

drawingfun icon drawingfun

This app is used to draw things on a white board with different colors and saves it as image

glassqualityprediction_machinehack icon glassqualityprediction_machinehack

Given are 15 distinguishing factors that can provide insight into what grade of the glass is being produced. Your objective as a data scientist is to build a machine learning model that can predict the grade of glass based on the given factors.

hybrid_recommender_systems icon hybrid_recommender_systems

A hybrid recommendation system built on top of surprise library on user-song-rating along with user segmentation using clustering techniques

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