imnikhilanand Goto Github PK

ab-testing-udacity-project

This project is the Udacity's A/B Testing final course project where a hypothetical experiment was conducted to test few metrics in the hypothetical online platform.

bayesian-marketing-mix-modeling

The project analyses the impact of different marketing tactics on the sales of items. The problem is a multivariate-modeling problem as there are 3 different tactics of marketing. Since, the impact of marketing medium cannot be negative we will be using Bayesian model for regression.

big-data-pipeline-open-source-stack

This project demonstrates a scalebale big data pipeline developed using open source technologies.

can-i-pay-back-my-loan

The objective of this project is to use historical loan application data to predict whether or not an applicant will be able to repay a loan.

can-you-go-blind-from-laser-eye-surgery

Survival Analysis on the patients from a trial of laser coagulation for the treatment of diabetic retinopathy. Survival times in this dataset are actual time to blindness in months, minus the minimum possible time to event (6.5 months).

coursera-course-reviews-classification

data-pipeline-aws

End-to-End data pipeline with AWS services.

does-college-degree-makes-you-earn-more

In this project we are trying to find if college degree really cause someone to earn more. We will be using instrument variable to identify the causation.

does-job-training-makes-a-difference

This project analyses whether people who have attained job trainings makes more money than those who have not attained these trainings.

ds_5110_tomato

This is my final year project for DS 5110 course at Northeastern University. In this project I have designed a databased for real time food ordering. The web-platform was developed on top of it for user experience using HTML, JavaScript and PHP.

ds_5220_final_project

DS 5220 - Supervised Machine Learning Final Project

financial-crisis-ananlysis

This analysis was performed in the Banking, Debt, Financial, Inflation and Systemic Crises that occurred, from 1860 to 2014, in 13 African countries, including: Algeria, Angola, Central African Republic, Ivory Coast, Egypt, Kenya, Mauritius, Morocco, Nigeria, South Africa, Tunisia, Zambia and Zimbabwe.

global-c2c-fashion-store_uba

This project performs User Behavior Analysis for a C2C Fashion Store. The data is collected from a fashion store launched in Europe around 2009 and later expanded worldwide.

iit-jee-paper-analysis

This project is based on the analysis of IIT JEE question paper of last 10 years.

imnikhilanand

it-survey-analysis

mukul1em

nyc-airbnb-open-data-analysis

Regression analysis and Exploratory Data Analysis of New York City - AirBNB Open Dataset.

pibank

Web UI of a Virtual Bank deployed on a Raspberry Pi server providing virtual transaction methods for remote communities living in areas of low connectivity.

real-time-etl-with-kafka-spark-cassandra

In this project real time data streams pipeline was developed to process data produced by Kafka, processed by Spark and stored in Cassandra databases.

recommendation-system-suggesting-streamers-on-twitch

The project is based on a Hybrid recommendation engine that uses both Collaborative as well as Content based filtering methods to suggest streamers to the online users based on the type content they consume.

shoppie

Shoppie is an E-commerce project. This project gives facility to select items, add them into carts, remove them from carts and checkout.

stact

Stact

supply-chain-modeling-and-analysis

To be added soon ...

survival_analysis_german_breast_cancer_study_group

The GBSG data set contains patient records of 720 patients with node positive breast cancer; it retains the 686 patients with complete data for the prognostic variables. Here, we have analyzed the survival time of these patients.

swin-transformer-unet

test_github_api

testing API github

text_classification_techniques_imdb

Implemented various text-classification techniques on the IMDB text dataset with around 50000 sample reviews about movies as either positive or negative review.

who-is-more-likely-to-buy

Uplift Modeling to identify the pursuable group of users from all the users in order to send them encouragement (in terms of coupons or other offers) to buy the product more without spending resources to convert those users who are not willing or interested to buy the product even after encouragement.