Odra Mathison's starred repositories
ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
beautify-github-profile
This repository will assist you in creating a more beautiful and appealing github profile, and you will have access to a comprehensive range of tools and tutorials for beautifying your github profile. 🪄 ⭐
machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
data-science-interviews
Data science interview questions and answers
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Thin-Plate-Spline-Motion-Model
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
Twitter-API-v2-sample-code
Sample code for the Twitter API v2 endpoints
DeepLearning.AI-TensorFlow-Developer-Course
DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera
Introduction-to-Data-Science-in-Python
Coursera | Introduction to Data Science in Python（University of Michigan）
The-Ultimate-Google-TensorFlow-Developer-Certificate-Exam-Study-Guide
Google TensorFlow Developer Certificate Study Guide
AI-TensorFlow-Blockchain-Certificate
My notes for coursera course AI TensorFlow in Practice Specialization.
tensorflow_specialization
This repository contains the course materials that were used for Coursera TensorFlow specialization course.
tweetsOLAPing
implementing an end-to-end tweets ETL/Analysis pipeline.
TensorFlow-in-Practice-Coursera
Hands on practice courses about machine learning framework TensorFlow provided by Coursera. In this project, Tensorflow is implemented on MLP, CNN, NLP and Sequence Time Series & Prediction.
r-principiantes-bookdown
R para principiantes (bookdown)
Web-Scraping-News-Articles-and-Tweets-using-Python
Using various web scraping techniques to scrape tweets from Twitter and news articles from two different types of websites
Big-Data-Specialization-Coursera
Repository for the Big Data Specialization from University of California San Diego on Coursera
Deep_Learning_Specialization-By-DeepLearning.AI-Coursera
The Deep Learning Specialization is a foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. In this Specialization, you will build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. Get ready to master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more. AI is transforming many industries. The Deep Learning Specialization provides a pathway for you to take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career. Along the way, you will also get career advice from deep learning experts from industry and academia.
Neural-Network-with-n-hidden-layers
Neural network with n hidden layers and runs with iris dataset. Accuracy is 67% and can be increased with more number of data examples.
text-analysis
Experiments in text mining and web-scraping
instagram-scrapping
Implementation of an Instagram scrapping using web scrapping techniques and Python.
Improve_MNIST_with_Convolutions
Improve MNIST with Convolutions
ScrapingCNE
Un poco de código Python, donde creo un pequeño bot que raspa información de la web oficial del CNE-Venezuela
Introduction-to-TensorFlow-Coursera
This repository contains all the coding exercises from the Introduction to Tensorflow for Artificial Intelligence Machine Learning and Deep Learning course provided by DeepLearning.ai on Coursera
Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-Coursera
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning