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fborrasumh's Projects

curso-deep-learning icon curso-deep-learning

Curso de Deep Learning desde las bases de Python, Fundamentos del Machine Learning, Fundamentos Matematicos del ML y DL, Redes Neuronales construidas desde cero hasta poner tu modelo a producción con Tensorflow

cv_tutorial icon cv_tutorial

Computer Vision tutorial for DH Summer School Antwerp

data-proc-adv icon data-proc-adv

Data Processing Advanced: a course on scientific computing with Numpy/Scipy

dataanalysis icon dataanalysis

Course Materials for Practical Data Analysis with Python and SQL

datascienceprojects icon datascienceprojects

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

demo-self-driving icon demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

fifa19-scouting-analysis icon fifa19-scouting-analysis

For this project, we are positioning ourselves as a scouting agency that uses analytics to, among other things, enhance the discovery of talents and help soccer clubs better understand the dynamics (features) that come into play when determining the value, overall and future potential of a player. We will be utilizing the FIFA Player dataset available on Kaggle and apply various Data Mining techniques to achieve our objectives.

football_analytics icon football_analytics

⚽📊 A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), with links to a curated list of publicly available resources published by the football analytics community.

gapminder icon gapminder

Excerpt from the Gapminder data, as an R data package and in plain text delimited form

handwritten_numeral_recognition_by_cnnmodel-automatic_data_extraction icon handwritten_numeral_recognition_by_cnnmodel-automatic_data_extraction

By using opencv, Tensorflow module with python3, Handwritten numeral data will be automatically extracted from video by opencv extracting contour method. The MNIST CNN train model will predicted the number by the extracted data and the predicted number will be shown on the on the video.(as a text)

ia-adventures icon ia-adventures

Repositorio con material y recursos sobre Inteligencia Artificial, Machine Learning y Redes neuronales

intro icon intro

Introduction to Deep Learning for Medical Researchers

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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