/machine-learning

Curso Saturdays.AI Murcia Machine Learning 2020

Primary LanguageJupyter Notebook

📒 Cuadernos

🐍 Python
🐼 Pandas
📊 Seaborn
💡 Scikit-learn

Dataset: Titanic
Reto: Beer types 🍺

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

Dataset: House prices
Reto: Car prices 🚗

📊 EDA: Simple
🌀 EDA: Dimensionality Reduction
📏 Linear Regression
📏 Regularized Linear Regression
📏 Polynomial Regression
🧠 Neural Network (Fast.ai v1)
✨ Clustering (K-Means, DBSCAN)

🛍️ Bag of words + Linear model
📋 Tf-idf + Linear model
💬 Word embeddings
🔤 Recurrent Neural Networks
🤖 Transformers
  • 🕐 Time series
    • 🛠 Feature engeeering for time
    • 🔮 ARIMA (Facebook Prophet)
    • Fractal analysis
    • Dataset: Predict future sales
  • ✨ Recommenders
    • Recommender systems
    • Next Product to Buy (NPtB)
    • Collaborative Filtering

Dataset: ...
Reto: ...

🖼 Image classification (Fast.ai v1)
🔍 Image Localization (Fast.ai v1)
✂️ Image Segmentation (Fast.ai v1)
🔉 Sound classification
🖼 Pictures from Google Images
🌐 Web scrapping (Beautiful soup)

🗓️ Agenda

Sesión Día Tema Charla
1 1 Feb AI Software Pepe Palma (UM) y Andrés Torrubia (Kaggle)
2 8 Feb Tabular data (clas) Projects brainstorming
3 15 Feb Tabular data (regr) Ángel Esteba (IMIB)
4 22 Feb Time series Antonio Vicente (AI Talentum)
5 29 Feb NLP Fernando y Mª José (Vocali), Nicolás (UCAM)
6 7 Mar Vision
7 14 Mar Project Biyectiva
8 28 Mar Project Biología y sanidad (UCAM)
9 4 Abr Project Alberto Valera (Bankiter)
10 25 Abr Project Antonio Terrones (Ética en la IA)
11 9 May Project Alberto Granero (Telefonica)
12 16 May Project Raquel Aullón (Comunicación Oral)
13 23 May Demo Day Vosotros ;)

🛠 Projects

Aqui se irán poniendo los proyectos asignados. Ver ideas.

📚 Aprender más: