amit-agni

amex2019-av-hackathon

Create a machine learning model to predict whether a customer will redeem a given coupon for the marketing campaigns run by the Amex merchants. Done as part of Analytics Vidhya American Express 2019 Data hackathon

amit-agni

AV-ltfs-competition

Create a machine learning model to predict the probability of loan borrower defaulting on a vehicle loan. Done as part of Analytics Vidhya Data hackathon

bank-deposit

Build a marketing campaign model that predicts the propensity of a bank customer to subscribe to a term deposit

candlesticks-deeplearning

Building deep learning models on Candlestick charts (images) data to predict stock price movements

club-mah-av-hackathon

Create a machine learning model to predict the average F&B spend of hotel guests per room per night stay at the hotel. Done as part of Analytics Vidhya Club Mahindra Data hackathon

datalearnings

Repo for the Data Learnings blog, integrates with Netlify for automatic deployment

FiMATS

Financial Markets Analysis and Tracking System

insurance-pricing

Pricing analysis for car insurance premiums of Suncorp against its three competitors. The dataset consists of factors that affect the pricing of insurance premiums like vehicle details, owner / driver information, the details of other insurances on the vehicle, etc

used-car-price-prediction

Create a machine learning model to predict which of the cars listed in the future are cheap, The Used Cars dataset from Kaggle has over 370K ads scraped with Scrapy from Ebay-Kleinanzeigen.

amit-agni/candlesticks-deeplearning

Building deep learning models on Candlestick charts (images) data to predict stock price movements

amit-agni/amex2019-av-hackathon

Create a machine learning model to predict whether a customer will redeem a given coupon for the marketing campaigns run by the Amex merchants. Done as part of Analytics Vidhya American Express 2019 Data hackathon

amit-agni/insurance-pricing

Pricing analysis for car insurance premiums of Suncorp against its three competitors. The dataset consists of factors that affect the pricing of insurance premiums like vehicle details, owner / driver information, the details of other insurances on the vehicle, etc

amit-agni/amit-agni

amit-agni/AV-ltfs-competition

Create a machine learning model to predict the probability of loan borrower defaulting on a vehicle loan. Done as part of Analytics Vidhya Data hackathon

amit-agni/bank-deposit

Build a marketing campaign model that predicts the propensity of a bank customer to subscribe to a term deposit

amit-agni/club-mah-av-hackathon

Create a machine learning model to predict the average F&B spend of hotel guests per room per night stay at the hotel. Done as part of Analytics Vidhya Club Mahindra Data hackathon

amit-agni/datalearnings

Repo for the Data Learnings blog, integrates with Netlify for automatic deployment

amit-agni/FiMATS

Financial Markets Analysis and Tracking System

amit-agni/used-car-price-prediction

Create a machine learning model to predict which of the cars listed in the future are cheap, The Used Cars dataset from Kaggle has over 370K ads scraped with Scrapy from Ebay-Kleinanzeigen.