Machine Learning para Competições Kaggle - Especial COVID-19

🌐 Course Title: Machine Learning para Competições Kaggle - Especial COVID-19

👩‍⚕️ Course Headline: Atenda ao chamado da Casa Branca e ajude a comunidade científica e os profissionais de saúde na pandemia de COVID-19! 🚀

Introduction: The novel coronavirus of 2019, known as SARS-CoV-2, has led to the worldwide pandemic of COVID-19. Since its emergence, the virus has spread globally, causing numerous deaths and significant disruptions to the global economy. In response, the White House, along with researchers and leaders from the Allen Institute for AI, Chan Zuckerberg Initiative (CZI), Georgetown University’s Center for Security and Emerging Technology (CSET), Microsoft, and the National Library of Medicine (NLM) at the National Institutes of Health, launched a database containing over 30,000 scientific articles related to COVID-19, SARS-CoV-2, and viruses in the coronavirus group.

The Call to Action: The White House, joining these institutions, has issued an appeal to action for AI experts across the nation to develop new text and data mining techniques to assist the scientific community in answering high-priority scientific questions related to COVID-19. This initiative underscores the need for us to unite as companies, governments, and scientists to tackle the complexity of this global challenge.

Course Objective: This course aims to bridge the gap in data scientist education by providing a detailed approach to addressing challenges, guiding through data exploration and treatment, solution selection, model building, training, and validation. Understanding this process is crucial for competitors to start their ascent up the leaderboards.

Course Structure: The course is divided into three main parts:

1. Data Recovery from COVID-19 Research Articles Database:

   • Text mining and Natural Language Processing (NLP) techniques using libraries like NLTK, spaCy, WordCloud, and fuzzywuzzy.
   • Document preparation, visualization, and similarity search implementations with TF-IDF.

2. Predicting COVID-19 Daily Deaths:

   • Utilizing regression algorithms to forecast daily deaths from COVID-19 using a second Kaggle dataset.

3. COVID-19 Diagnosis via Chest X-Rays:

   • Implementing advanced Deep Learning techniques with TensorFlow 2.0, including convolutional neural networks (CNNs) and transfer learning for classifying chest X-ray images as either COVID-19 infected or healthy.

Hands-On Approach: Throughout the course, you will work hands-on with Python programming, using the Google Colab platform to ensure a comprehensive understanding of all necessary data analytics processes for participating in these competitions.

What You'll Learn:

1. Data Exploration & Preparation:

   • Understanding and applying NLP techniques to extract meaningful insights from large datasets.
   • Visualizing text data using WordClouds and other visualization tools.

2. Predictive Modeling:

   • Developing models using regression algorithms to predict COVID-19 daily deaths.

3. Deep Learning for Medical Diagnosis:

   • Applying advanced Deep Learning techniques to diagnose COVID-19 from chest X-rays.

Why This Course? This course is designed for data scientists and AI enthusiasts who wish to contribute to one of the most pressing challenges of our time. By leveraging machine learning, you can make a tangible impact on public health outcomes. Whether you're looking to participate in Kaggle competitions or simply want to apply your skills to real-world problems, this course will provide you with the knowledge and practical experience needed to succeed.

Join Us: Embark on this learning journey and become a part of the solution in the fight against COVID-19. Your data science expertise can lead to breakthroughs that save lives and inform policy decisions. Enroll now and take the first step towards mastering machine learning for impactful applications! 📊💡💪

Who Should Take This Course:

• Data scientists interested in applying their skills to combat COVID-19.
• AI and machine learning enthusiasts looking to contribute to real-world challenges.
• Students and professionals aiming to participate in Kaggle competitions with a focus on healthcare data.
• Anyone passionate about leveraging technology for societal benefits during the pandemic.