Renan Xerez

Renan Xerez

@RenanXM

Computer Science Student at Federal University of Ceará (UFC).

16
Followers
24
Following
18
Public Repos
0
Private Repos

Language Breakdown

Lines of code distribution across 17 owned repositories

8.5M Total LOC
Jupyter Notebook
7,639,194 lines
90.2%
N/A
C++
363,450 lines
4.3%
N/A
JavaScript
240,939 lines
2.8%
N/A
Python
120,985 lines
1.4%
N/A
C
65,384 lines
0.8%
N/A
Other
39,815 lines
0.5%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook
C++
JavaScript
Python
C

Collaboration Network

Global Impact visualization

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Renan Xerez
0 active collaborators

Repos

25

PRs

0

Growth

+18%

Top Collaborators

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Coding Streak

Contribution activity over the past year

2 days
7
Contributions
6
Commits
0
Pull Requests
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Top Repositories

ALUMINIO

Aluminio

0 0
Jupyter Notebook
Design-Pattern-CPP

Repository for studies and implementation of design patterns in C++

0 0
C++
FBD-FINAL

Final project of the Database Fundamentals course at UFC (CK0114)

0 0
Python
CPP-Pluralsight

CPP course -> Basics and Advanced Topics

0 0
C++
Neural-Network-SMS-Text-Classifier

In this challenge, We need o create a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.

0 0
Jupyter Notebook
Neural-Network-Health-Costs-Calculator

In this challenge, you will predict healthcare costs using a neural network. You are given a dataset that contains information about different people including their healthcare costs. Use the data to predict healthcare costs based on new data.

0 0
Jupyter Notebook
Book-Recommendation-Engine-using-KNN

In this challenge, you will create a book recommendation algorithm using K-Nearest Neighbors. You will use the Book-Crossings dataset. This dataset contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.

0 0
Jupyter Notebook
Cat-and-Dog-Image-Classifier

Code to classify images of dogs and cats. Using TensorFlow 2.0 and Keras to create a convolutional neural network that correctly classifies images of cats and dogs at least 63% of the time. (Extra credit if you get it to 70% accuracy!)

0 0
Jupyter Notebook
Rock-Paper-Scissors

Challenge: Create a program to play Rock, Paper, Scissors. A program that picks at random will usually win 50% of the time. To pass this challenge, the program must play matches against four different bots, winning at least 60% of the games in each match. The program is on RPS.py

0 0
Python
Machine-Learning-freecodecamp

Repository for the Machine Learning and Neural Networks course using TensorFlow.

0 0
Jupyter Notebook

Open Source Impact

Contributions to external projects

1 merged PRs

No external contributions found.