Pinned Repositories
Activity-Detection-using-IMU-sensor
User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
DataSciencePython
common data analysis and machine learning tasks using python
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
Hierarchical-clustering
KilosortWrapper_mac
Wrapper based on Kilosort2
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
linear_regression_live
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
Logistic-Regression
MarcosColetti's Repositories
MarcosColetti/Activity-Detection-using-IMU-sensor
User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.
MarcosColetti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
MarcosColetti/DataSciencePython
common data analysis and machine learning tasks using python
MarcosColetti/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
MarcosColetti/gramm
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
MarcosColetti/Hierarchical-clustering
MarcosColetti/KilosortWrapper_mac
Wrapper based on Kilosort2
MarcosColetti/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
MarcosColetti/linear_regression_live
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
MarcosColetti/Logistic-Regression
MarcosColetti/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
MarcosColetti/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
MarcosColetti/machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
MarcosColetti/Polynomial-Regression
MarcosColetti/Predicting-Stock-Prices-with-Linear-Regression
MarcosColetti/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
MarcosColetti/prueba_git
Repositorio de prueba taller open source GIT
MarcosColetti/Python-Coding-Interview
MarcosColetti/test_cron
MarcosColetti/TopDeepLearning
A list of popular github projects related to deep learning