Discover @moose9200 Open Source projects

Hemant Kumar Sain (@moose9200)

moose9200

Stars
11
Global Rank 920,422 (Top 32 %)
Followers 7
Following 2
Registered over 7 years ago
Most used languages

R
87.5 %

Python
12.5 %
Location 🇮🇳 India
Country Total Rank 44,063
Country Ranking

R
132

Facial-Recognisation-based-attendence-system

I would like to bring in a smart attendance system, which will help in recognising the students face and update the document with their Student Id and Student Name. Another main point of concern for us to introduce smart attendance system is time-consuming. Assuming for each class, I take roughly 5 to 10 mins to take the students’ attendance, and for every teacher, it is an additional task that consumes their time. With the world moving to automation more and more every day, I used image processing to develop the automatic process. I used Face detection to identify a person’s face and face recognition to verify the identified person’s face with the one I have in our database.

Kickstarter-Project-Funding-prediction_R

Kickstarter works on all or nothing basis i.e if a project doesn’t meet it goal, the project owner gets nothing. For example: if a projects’s goal is $500. Even if it gets funded till $499, the project won’t be a success. Recently, kickstarter released its public data repository to allow researchers and enthusiasts like us to help them solve a problem. Will a project get fully funded ? In this challenge, i was responsible to predict if a project will get successfully funded or not using XGBOOST classification .

Predict-Fraudulent-Transactions_Hackerearth-

I have participated in hackathon orgnised by hackerearth, named Brainwaves and built a model using H2O and Random Forest to predict Fraudulent Transaction

Analytics-Vidhya-Hiring-Hackathon

I have participated in a hackathon organised by Analytics Vidhya, and built a model using XGboost to find out the trend of electricity consumption. after evaluation my model got rank 3 based on accuracy.

R-CAB_Fare_Amount_Analysis

I have developed a project based on Regression Analysis for a hackathon, organised by Hackerearth and built a model with almost 92% accuracy. Goal of the project was to understand the trip fares so that they can come up with necessary marketing offers to gain more customers.

Predict-Annual-Returns

I have participated in a hackathon organised by hackerearth, named Brainwaves and built a model using XGboost to predict annual Returns

Semantic-Analysis-of-Question-Pairs_R

I have developed a project, based on Text mining for Kaggle competition, and built a Classi􀃶cation model with 83% accuracy. Goal of the project was to classify whether question pairs has same Semantic or not.

Housing_Regression_Price_Analysis_R

A Kaggle"s competition, i was responsible to develop an algorithms which uses a broad spectrum of features to predict reality prices of a building. and i completed the task successfully using decision trees based model.