Welcome to my portfolio!! I have special interest in machine learning and deep learning technics, and Internet of Things.

May 25, 2020

Fetch_lfw_people dataset: Facial Recognition with Support Vector Machines

This dataset is a collection of JPEG pictures of famous people collected over the internet, all details are available on the official website: http://vis-www.cs.umass.edu/lfw/ The purpose in this project is to recognize the face of person in the picture and label it with its full name, based on a training process composed by thousand of labeled pictures. For this project, all picture are black & white (sklearn.datasets.fetch_lfw_people – parameter color = False)

April 5, 2020

ml-latest-small dataset: Clustering users based on movie scoring

In this project, ml-latest-small dataset is used to cluster users. This is as useful tool for movie makers and companies as Netflix. Here, users rate movies using a 0-5 scores. The objective is to find clusters that group users based on the movies they like/dislike using KMeans technic. ml-latest-small dataset contains 100836 ratings and 3683 tag applications across 9742 movies. These data were created by 610 users between March 29, 1996 and September 24, 2018.

March 16, 2020

Cancer dataset: Breast cancer detection using knn

K-NN is a machine learning technic used to classify data analysing similarity in features of data. In this project, K parameter was tested in several values: 3, 5, 7, 9 and 12. At the end, best performance was reached when K = 5, with a precision rate > 98%. Link to GitHub Repository