[2019 미래에셋 빅데이터 페스티벌] 과제2_국면분석(5일 후 코스피 지수종가 등락 예측)

Taxi demand prediction for a given location.

Predictive Analytics for Business

Time series analysis and forecasting methods in R

This repo contains exercises for Time Series Analysis.

Time-series analysis on a weather dataset, for weather forecasting using Random Forest, implemented from scratch using just numpy and pandas in python.

Easy to use UI-based forecaster 📈 🔍

Stock Market Price Prediction using Machine Learning and Neural Network that analyzes stock data for a specific company of choice for the past 60 days from Yahoo Finance and makes an estimated price prediction for the next day market price without having to import a dataset.

This project enables scraping and storing the data of the "NN (L) Global Sustainable Equity" fund as well as time series forecasting for the following 10 business days.

A forecasting function that forecast and returns the returns on investment on any stock and crypto currency within any given start and end date

Predicting Covid cases for California state using ARIMA, SARIMA and Holt Winters

Time series analysis and regression model to predict the number of taxi rides ordered in the next hour.

Analytics Vidhya Jobathon for November 2022 - Create a time series forecasting model to forecast the energy consumption in the state for next 3 years.

In this project, the trading volume of the members in Iyzico is estimated on a daily basis for the last 3 months of 2020.

A collection of machine learning/deep learning projects during my studies at USYD.

Time series analysis and forecasting project based on Walmart Sales Data.

Time Series Forevasting with ARIMA Model for prediction of Google Stock Price based on historical data.

In this project, we intend to develop a time series model for predicting daily exchange rate of bitcoin cryptocurrency up to any number of days that a user chooses.

Work in progress. Masters thesis at Warsaw University of Technology.

Statistical toolkit to make time-series stationary