PlaY Data
Here has more details:
https://docs.google.com/document/d/1cdG9zX5d8laTuqudmuNN9E4c4FX1u_vasseCc2Fbuk4/edit?usp=sharing
Lecture : PlaY Data
Timeline :
[Talk 10 min] Asking Questions & Get the Solutions
[Hands-on Orange 40 min] Typical Problem-Solving Skills in MLDM
[Break 10 min]
[Talk 15 min] A Lighting Talk in Data Sciience
[Hands-on Pandas 80 min] Preprocessing before Machine Learning & Data Mining
[Break 10 min]
[Hands-on Matplotlib 50 min] Visualization Skills
[Talk 10 min] A Lighting Talk in Visualization
[Break 10 min]
[Hands-on sklearn 40 min] PlaY Data with Scikit-Learn
[Break 5 min]
[Hands-on sklearn&scipy 80 min] PlaY Natural Language Processing (with PTT corpus)
Environment Settings:
Required Python Packages:
PyMongo
Orange
pandas
matplotlib
scikit-learn
numpy & scipy
jieba
nltk
gensim
cv2 (OpenCV)
Other Requirements:
mongodb
OpenCV
Required Skills:
Linear Algebra
Multivariate Calculus
Basic Probability
Basic Python Manipulation
(optional) some basic concept in Convex optimization & Discrete Optimization
(optional) some basic concept in Machine Learning or Data Mining
(optional) some basic concept in Image Processing & Digital Signal Processing
(optional) some basic concept in Natural Language Processing
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