Kaggle Challenge

Women in Data Science Competition

WiDS Datathon 2020 on patient health through data from MIT’s GOSSIS (Global Open Source Severity of Illness Score) initiative.

Fast Online Triplet mining in Pytorch

Performing common visual data analytic tasks using Python and D3.js.

This repository contains Natural Language Processing Projects like Sarcasm Detection, Quora Insincere Questions Classification & Edgar Sentiment Analysis

mcs_kfold stands for "monte carlo stratified k fold". This library attempts to achieve equal distribution of discrete/categorical variables in all folds. The greatest advantage of this method is that it can be applied to multi-dimensional targets.

An optimal stratified sample design for Commodity Flow Survey (CFS) based on Simulated Annealing and Genetic Algorithm. A script in Procedural PostgreSQL is used to generate a frame with 100,000 records based on publicly available data.

Loan Approval Prediction

Perform Data Sampling with Python

Sprint 6, Task 1

Stratification of multi-label datasets

Regression algorithms to predict the median house prices in California districts

This notebook will walk you through the steps for dealing with an imbalanced dataset using an example of a real project that I recently completed.

Data consists of tweets scrapped using Twitter API. Objective is sentiment labelling using a lexicon approach, performing text pre-processing (such as language detection, tokenisation, normalisation, vectorisation), building pipelines for text classification models for sentiment analysis, followed by explainability of the final classifier

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

(77,86% R) Floresta Aleatória aprimorada para a previsão de aluguel.

Supervised machine learning model to classify loan applicants into high and low risk categories