Predict wait times using various machine learning methods
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Updated
Nov 13, 2017 - Jupyter Notebook
Predict wait times using various machine learning methods
R Tutorials for the Data Analysis and Statistical Methods (DASM) WMEE14000 course at the University of Groningen
Analysis & Tools for the 2011-2016 OpenDota Dump (~1.2 billion matches)
Some basic tools for quantitative analysis of financial time series. The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py
Python package for receiving and restructuring OSM historic object data conveniently
In this project, I made an interactive dashboard for covid19 data analysis and also forecasted new cases for India using time series forecasting models like SARIMA and parametric curve fitting
time series analysis in both python and R.
Six Sigma Green Belt-Enhanced inventory planning process by implementing ML ARIMA model
Purchase prediction for Google Merchandise Store visitors
Friction stir welding tool performance prediction using machine learning and deep learning techniques
Univariate time series forecasting in Python of commodity prices using the Autoregressive Integrated Moving Average (ARIMA) model.
This repository showcases my individual efforts in a data science project focused on enhancing road safety, particularly for vulnerable road users such as pedestrians, cyclists, and motorcyclists. Through data analysis and exploration, I've aimed to derive insights and propose practical recommendations to improve road safety globally.
A QGIS Plugin to visualize raster time series in parallel.
Time Series & Forecasting for Australia Tourism
With Kaggle Dataset, predict the price of TLKM shares. All data are visualized and processed with Tensorflow and Python
Data Analysis of the Daily AFAB (Assigned Female At Birth) Births in California, 1959
A data analysis project to explore bike sharing, and what factors impact bike sharing in Washington, D.C., USA, for the period between January 1, 2011, and December 31, 2012. Data source: https://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset#
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