Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
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Updated
Feb 10, 2021 - Python
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
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
Repo to Intro to Prophet Medium Story
Awesome cheatsheets for Data Science
In this repository we test AutoML approaches for time-series forecasting
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.
Sentiment Analysis for Stock Prediction
Fun with lottery numbers. Statistics and predictions.
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…
Time Series Analysis of Zillow data
Kaggle - Time-series Forecasting the optimal number of agents for a Contact Center: Facebook Prophet, InfluxDB Holt-Winter
Time Series Forecasting of the housing price in Queens using the SARIMA, Facebook Prophet, and the LSTM
Alpine based Docker Image for Facebook Prophet
Predicitve analytics of sales using Facebook Prophet
Utilized facebook prophet to perform forecasting on datasets that consist sales data from 1115 stores. Our predictive model attempts at forecasting future sales based on historical data while taking into account seasonality effects, demand, holidays, promotions, and competition.
Prediction of stock prices over the next 1 to 5 years using Facebook Prophet
Predicting stocks using Facebook prophet. for some big tech companies (TSLA, GOOG ,MSFT, FB, AAPL, NVDA, PYPL, ADBE, NFLX )
This project is about to predict the price of avocado sold in the US using historical dataset and Facebook Prophet(open source software released by Facebook’s Core Data Science team)
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