saikat-kolkata Goto Github PK

akshaysram08

amazon-business-research-analyst-hiring-challenge

This project was done as a part of Amazon Business Research Analyst Hiring Challenge. Here I was provided an dataset for the candidates for a XyZ company. I had to make prediction about the FitmentPercent. Also, the prediction had to be free from any bias. On the predicted Fitmentpercent, I had to predict if there was any bias and if there is bias then what kind of bias was present. By solving this project, I was qualified for the round 2.

amazon-bussiness-da

This is part of hiring process for Amazon Business Analyst. The data provided here has two target variable - BiasInfluentialFactor and FitmentPercent. The prediction should be bias free as per requirement.

bidding-machine

An implementation of the TKDE paper "Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising"

buyers-time-prediction

We'll try to predict the buyers time spend on an e-commerce site

carnival-war-predict-price

HackerEarth Machine Learning Challenge: Carnival Wars! Our task is to predict the selling price of the products based on the provided features.

cloud-ops

Different cloud ops files for work

data-engineering-hackathon

Being a part of the data engineering team, are expected to “Develop input features” for the efficient marketing model given the Visitor log data and User Data. As a Data Engineer Creating ETL Pipeline is expected.

deploy_test

first deployment trial

docker-test

testing to run a docker file

faang-coding-interview-questions

A curated List of Coding Questions Asked in FAANG Interviews

fun

great-indian-hiring-hackathon

This is hiring hackathon. Retail price prediction challenge by machinehack.com. Challenge to come up with an algorithm to predict the price of retail items belonging to different categories.

grievances_multiclass_prediction

This is multiclass classification problem. In this problem, we are given a dataset that contains grievances of various people living in a country. Our task is to predict the importance of the grievance with respect to various articles, constitutional declarations, enforcement, resources, and so on, to help the government prioritize which ones to deal with and when.

house_price

Predict house price hackathon by machinehack.com

hr_analytics

Predict the promotion of an employee

imbalanced-classification

Analytics Vidhya hackathon problem. This is a classic imbalanced classification problem where we have to predict credit card lead. Resample and threshold shifting strategy used to increase the accuracy

impfeature

Python library to extract important features from a dataframe

largelanguagemodelsprojects

Large Language Model Projects

ltfs-ds-finhack

LTFS has tasked us with building a model given the Top-up loan bucket of 128655 customers along with demographic and bureau data, to predict the right bucket/period for 14745 customers in the test data.

nlp

This repository contain different modules of nlp

optimization-techniques

Grid Search, Pipeline, Bayesian optimization, hyperopt and optuna has been coded

parameter-tuning

Testing different ML models on Titanic Dataset

pipedream

Connect APIs, remarkably fast. Free for developers.

predict-power-from-windmill

Topped 61 out of 2100+ participants in HackerEarth Machine Learning Challenge. Problem was to predict the power that is generated in kW/h provided in the dataset

predict-the-churn

Predict the churn score for a website based on the features provided in the dataset. Ranked 70/4000 in Hackerearth

saikat-kolkata

Config files for my GitHub profile.

winequality

This datasets is related to red variants of the Portuguese "Vinho Verde" wine. The data has a field called "quality" which has a range between 1-10, we'll assume 1-5 score is for bad wine and 6-10 is for good wine and we'll try to to predict the same based on the data.