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
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.
In this repository we test AutoML approaches for time-series forecasting
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
Awesome cheatsheets for Data Science
Fun with lottery numbers. Statistics and predictions.
Repo to Intro to Prophet Medium Story
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
Prediction of stock prices over the next 1 to 5 years using Facebook Prophet
Time Series analysis of COVID-19 dataset.
Kaggle - Time-series Forecasting the optimal number of agents for a Contact Center: Facebook Prophet, InfluxDB Holt-Winter
Tesseract: Stock Market Forecasting 📈 Engine with JavaFX, Alpaca Trading and Facebook Prophet 💸 to analyze, forecast and trade stocks.
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