Carmine Allegorico's starred repositories

Trendy

Numerical trendline algorithms for technical analysis of financial securities.

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2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

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moda

models and evaluation framework for trending topics detection

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PyNomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

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python-kalman-filter-presentation

A presentation for Computer Science Club about Kalman filters

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dlaicourse

Notebooks for learning deep learning

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docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

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Flight-Prices-Scraper

Automated Script to scrape flight prices from any website into a csv format

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handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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predict-customer-churn

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

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Principles-of-Data-Science

Principles of Data Science by Packt

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Data-Analysis

Data Science Using Python

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practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

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friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

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Stock_Market_Prediction

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

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Predicting_Winning_Teams

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

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Stock-Marke-Prediction

Simple deep neural network implemented using Tensorflow for predicting the closing price of S&P 500 market index based on other global markets.

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analyze-stock-data

This repository collects essential tools for the analysis of stocks market

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