Carmine Allegorico's starred repositories

handson-ml

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:25166Issues:1086Issues:562

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.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:16475Issues:463Issues:322

python-machine-learning-book

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

Language:Jupyter NotebookLicense:MITStargazers:12232Issues:798Issues:56

dlaicourse

Notebooks for learning deep learning

Language:Jupyter NotebookStargazers:5663Issues:240Issues:70

Data-Analysis

Data Science Using Python

Language:Jupyter NotebookLicense:MITStargazers:5173Issues:354Issues:61

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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:2260Issues:160Issues:31

predict-customer-churn

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

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:404Issues:22Issues:10

docplex-examples

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

kalman-filter

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

2018-MachineLearning-Lectures-ESA

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

Language:Jupyter NotebookStargazers:352Issues:31Issues:1

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].

Language:PythonLicense:NOASSERTIONStargazers:308Issues:25Issues:44

Predicting_Winning_Teams

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

Language:Jupyter NotebookStargazers:255Issues:26Issues:6

Trendy

Numerical trendline algorithms for technical analysis of financial securities.

Language:PythonLicense:GPL-2.0Stargazers:242Issues:14Issues:3

Stock_Market_Prediction

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:230Issues:25Issues:2

friendly-fortnight

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

Principles-of-Data-Science

Principles of Data Science by Packt

Language:Jupyter NotebookStargazers:71Issues:9Issues:1

moda

models and evaluation framework for trending topics detection

Language:Jupyter NotebookLicense:MITStargazers:34Issues:2Issues:3

Flight-Prices-Scraper

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

Language:PythonStargazers:29Issues:2Issues:0
Language:Jupyter NotebookStargazers:25Issues:3Issues:0

python-kalman-filter-presentation

A presentation for Computer Science Club about Kalman filters

Language:Jupyter NotebookStargazers:6Issues:2Issues:0

analyze-stock-data

This repository collects essential tools for the analysis of stocks market

Language:Jupyter NotebookStargazers:2Issues:2Issues:0

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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