Naman Doshi's repositories
Predicting_MS_admission
Based on GRE score, GPA and Rank of a student, let's predict whether a student will get admitted or rejected using machine learning
Real-Time-Sentiment-Analysis
A real time sentiment analysis on tweets using Python, Flask-API, Gunicorn, Tweepy & TextBlob
Data-Science-Boilerplate-Code
Boilerplate code or template for any DS project
Fraud-Trader-Identification-Model
One of the biggest problem in Indonesian eCommerce is purchase of discounted goods online by the traders and resale of those goods offline. Trader Identification Model (TIM) classifies the above mentioned Traders from legitimate customers.
Hackathon-DigitalOcean
This project is with regards to submission for DigitalOcean online hackathon.
Hackathon-IGTAirplaneDelays
This is a case study on Airline On-Time Performance from 1987-2007 as a solution submitted to IGT
Hand-Recognition
A basic hand recognition app built using OpenCV as a submission to doodleblue.
Object-Detection-Using-ImageAI
Generic Object detection under 13 lines of code using Image AI
All-things-NLP
Cluster of my NLP pet projects.
Data-Science-Projects
This repository contains all my pet projects
prophecy.ai
Generate baseline forecasts using Facebook Prophet & Flask
Airbnb-Suspicious-Hosts-Network
Identify networks of suspicious hosts with duplicate/ fake listings connected by fake reviewers using network analysis
BERT-Playstore-Reviews
Scraping Google Play Store Reviews and doing Sentiment Analysis with BERT & Transformers using PyTorch
cryptography_basics
Repo contains basic encryption algorithms
Hackathon-DecentralizedVotingMachine
This is a submission for the Daksh’18 Hackathon to Guvi by Team Blitzkreig
Hackathon-InsurancePolicy
Using machine learning to predict probable policies to customer
Hackathon-PickYourTrial
Solution
Hackathon-SingaporeAirlines
This repository contains submission by Team Blitzkrieg to Singapore Airlines AppChallenge 2018
Hackathon-VITCode2Create
Submission to VIT ACM's Code2Create
Predicting-Customer-Churn-using-PyCaret
A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI.
Predicting-Probability-of-Default
Building statistical credit risk modeling, probability of default prediction, and credit scorecard.
Probabilistic-Customer-Lifetime-Value
Using Pareto/NBD model to predict the future transactions of each user. This is combined with Gamma-Gamma model, which then adds the monetary aspect of the user transaction & predicts the Customer Lifetime Value.
Survival-Analysis-for-Attrition
Using Survival Analysis (Lifelines) to build a Customer Attrition Model
Telegram_WeatherBot
Bot that gives you weather updates on Telegram.