Taxi demand prediction for a given location.
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Updated
Mar 23, 2020 - Jupyter Notebook
Taxi demand prediction for a given location.
Predictive Analytics for Business
This repo contains exercises for Time Series Analysis.
Analysis of mean sea level time series data
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.
Work in progress. Masters thesis at Warsaw University of Technology.
Multidimensional time-series data prediction with a recurrent neural network (RNN) trained by RTRL; 2nd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
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