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Created over 7 years ago
Updated over 7 years ago

MiteshPuthran

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Modeled sample movie database(IMDB) using Toad Data Modeler, implemented various queries, triggers and stored procedure in MS-SQL, Oracle, Hive and generated Tableau reports for the same

Speech-Emotion-Analyzer

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Jupyter Notebook

1,162

Image-Caption-Generator

The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)

Jupyter Notebook

Shopping-Cart-Spring-MVC-Hibernate-Application

A shopping cart spring-mvc application with hibernate. Application sends user email confirmation on registration and it also gives user to generate their final bill as a PDF with PDF-View.

Java

Document_Classification

Python code for classification of documents into different classes using machine learning

Jupyter Notebook

Food-Wastage-Management

Food Wastage Management: Providing a simpler means of collecting the leftover food from restaurants and distributing the same to those in need

Java

Medical-Record-Analysis-Predictions

Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history

Jupyter Notebook

IMDB_Score_Prediction

Predicting the IMDB scores of movies based on various meta-data available for analysis

Jupyter Notebook

Prudential-Life-Insurance-Assessment

Built different models to predict the risk for Prudential Life Insurance to its possible applicants based on their medical history

Reuters_2012-17_News_Headline_Analysis

Topic-Modelling Reuters news headlines to find topic clusters for the past 7 years using LDA and t-SNE

Jupyter Notebook

SuperMarket_Optimization

Jupyter Notebook

python_analysis

Analysis-using-Python

Analysis using Natural Language Toolkit(NLTK), Numpy, Pandas and Matplotlib

Jupyter Notebook

NYC-Vehicle-Collision-Analysis

Used vehicle collision data from NYC Open Data to analyse various factors for collisions, identifying the vehicle type involved in the crashes and using weather dataset to identify how snowfall and precipitation had caused increase in collisons

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MessengerChatbot

The idea behind creating the chatbot is to build a self sustainable program that can be used to interact and take decisions on its own without the human interference. This application will try minimize the waiting time and emotional interference while dealing with certain situations.

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MiteshPuthran/IMDB-Database-Modelling-and-Analysis

MiteshPuthran

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