facebook-prophet

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Uses Facebook Prophet to analyze time-series data and make predictions on cryptocurrency prices

Detect the most trustworthy tomorrow's English Premier League game (if any), based on historical betting odds data and the given odds for the upcoming matches.

Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm

In this repository we test AutoML approaches for time-series forecasting

Awesome cheatsheets for Data Science

Repo to Intro to Prophet Medium Story

Fun with lottery numbers. Statistics and predictions.

Sentiment Analysis for Stock Prediction

Alpine based Docker Image for Facebook Prophet

A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreover, the budget allocator & calibration enable actionability and causality of the results

An Interactive Financial Dashboard for investors who are interested in obtaining stock insights of various companies including various financial institution stocks. Power BI Business Analytics is the platform used to present the Visualization of the data. The Dashboard allow investors to interactively analyze various stocks prices to current mar…

Predicting stocks using Facebook prophet. for some big tech companies (TSLA, GOOG ,MSFT, FB, AAPL, NVDA, PYPL, ADBE, NFLX )

Time Series Forecasting of the housing price in Queens using the SARIMA, Facebook Prophet, and the LSTM

Time Series Analysis of Zillow data

Time Series analysis of COVID-19 dataset.

This repository aims to build a Facebook Prophet Machine learning model that can forecast the price of Tesla 30 days in advance. The effectiveness of the model is also evaluated by looking at Tesla's prior performance using data visualization methods.

Prediction of stock prices over the next 1 to 5 years using Facebook Prophet

understand Time series forecasting with different models in python, and fine tune the hyper-parameters to get the least possible error.