/machine-learning

Curso Saturdays.AI Murcia Machine Learning 2020

Primary LanguageJupyter Notebook

📒 Cuadernos

1. Introducction
to AI software

 🐍 Python
🐼 Pandas
📊 Seaborn
💡 Scikit-learn

2. Tabular data
for clasification

Dataset: Titanic

 📊 EDA: Simple
🌳 Decission Tree Classifier
🌲 Random Forest Classifier
🌴 Gradient Boosting Classifier
🧠 Neural Network Classifier

3. Tabular data
for regression

Dataset: House prices

 📊 EDA: Simple
🌀 EDA: Dimensionality Reduction
📏 Linear Regression
📏 Logistic Regression
✨ Clustering (K-Means, DBSCAN)
🧠 Neural Network Regression

Next Sessions:

  1. 🗄 Create your dataset
    • 🌐 Web scrapping (Beautiful soup)
    • 🖼 Google Images
  2. 🔤 Natual Language Processing
    • 🛠 Feature engeeering for NLP
    • 🛍️ Bag of words (CountVectorizer)
    • 📋 Tf-idf (TfidfVectorizer)
    • 💬 Word embeddings
  3. 🕐 Time series
    • 🛠 Feature engeeering for time
    • 🔮 ARIMA (Facebook Prophet)
  4. 👀 Vision
    • 🖼 Understanding images
    • 🔍 Convolutional Neural Network (Fastai)

🗓️ Agenda

Sesión Día Tema Charla Reto
1 1 Feb AI Software Pepe Palma y Andrés Torrubia
2 8 Feb Tabular data 1 Projects brainstorming 🍺 Beer Challenge
3 15 Feb Tabular data 2 🚗 Car pricing
4 22 Feb NLP 🙃 Sentiment analysis
5 29 Feb Time series (aun por decidir)
6 7 Mar Vision 📷 Marinera o bicicleta
7 14 Mar Project
8 28 Mar Project Biología y sanidad
9 4 Abr Project
10 25 Abr Project Ética en la IA
11 9 May Project
12 16 May Project Comunicación Oral
13 23 May Demo Day Vosotros ;)

🛠 Projects

Aqui se irán poniendo los proyectos asignados. Ver ideas

📚 Best resources: