Ayaz's repositories
Team-Don-t-be-Trashy
Business Document
HackMaker-BuildWithAI-ML_Model
Recommendation Engine model and Data Analysis
MLOPS_Bootcamp
This repo is regarding MLOPS bootcamp taught by Alexey Grigorev
8_weeks_SQL_Challenge
The 8 Week SQL Challenge by the Data With Danny (https://8weeksqlchallenge.com/getting-started/)
DemoPractice
Github Learnings
ayaz95
Config files for my GitHub profile.
EthereumCasts
Companion repo to an Ethereum/Solidity course on Udemy
Hackmaker2021_Team_Marshmallow
Created a dashboard that helps to analyse and provide an insight on unemployment rate in Singapore
studorlio
Portfolio website template
Todo-List-using-python-flask
Todo List using python flask
Machine-Event-Prediction
Developed a Machine Learning model to predict the probability of a machine event.
Team_Dine_Detect-HackMakers
Anomaly Detection in Online Food Delivering system.
Delegator_AI
Delegator AI will help the organisation by automatically assigning the task(tickets) to employees based on the ML prediction Algorithm by considering factors like task priority, employee skills, ticket similarity, employee scheduling, workload, etc.
Coral-Protect-the-Lives
Coral app for GovHack Datathon
Energy-Use-Prediction
This project is to predict the energy use of lights and appliances in a low-energy building using the UCI data set collected in 2017.
Salary_Prediction
Web Application using python flask for Salary Prediction(Machine Learning -- Linear Regression).
Time-Series-Forecasting-on-Egg-Deposition-of-age-3-Lake-Huron-Bloaters
This project aims to analyse and find the best fitting model to forecast the egg depositions of lake Huron bloaters for next 5 years using a set of possible ARIMA(p,d,q) models.
Time-Series-Analysis-on-Thickness-of-Ozone-Layer
The aim of the project is to find the best fitting model(Linear and Quadratic model) to analyse and predict the thickness of the ozone layer and to propose the set of possible ARIMA(p,d,q) models.
Predicted-Life-Expectancy-of-Newborn-babies-using-Regression-Techniques
In this project different regression techniques(Linear Regression, Polynomial Regression, Ridge Regression and Lasso Regression) are used to predict the life expectancy of newborn babies and analysed which regression algorithm works better.