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Intro to scikit learn may 2017

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Francesco Mosconi
Francesco Mosconi

Tutorial on Scikit Learn I gave at SF Data Mining meetup on May 1st 2017. Review of major parts of the Scikit-Learn API and quick coding exercise on Iris Dataset

Educación
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Catalit LLC SCIKIT-LEARNTUTORIAL Francesco Mosconi SF Data Mining Meetup @ Google Launchpad May 2017 Data Weekends
Catalit LLC BEFORE WE START Download and install: MINICONDA PYTHON 2.7 from here: https://conda.io/miniconda.html
Catalit LLC INTHIS WORKSHOP • Recognize problems & choose right ML technique • Load and manipulate data with Pandas • Build classification model with Scikit-Learn • Evaluate model performance with Scikit-Learn
Catalit LLC MLTECHNIQUES
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC MLTECHNIQUES CONTINUOUS CATEGORICAL SUPERVISED REGRESSION CLASSIFICATION UNSUPERVISED CLUSTERING
Catalit LLC TYPES OF PROBLEMS
Catalit LLC TYPES OF PROBLEMSSentiment Analysis Heart MonitoringBook recommendation Caption generation Human recognition
Catalit LLC TYPES OF PROBLEMS House price prediction Document classification Social Network Analysis
Catalit LLC SCIKIT-LEARN
Catalit LLC MODEL BUILDING 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC BENCHMARK
Catalit LLC CLASSIFIERS http://www.aboutdm.com/2013/04/history-of-machine-learning.html
Catalit LLC
Catalit LLC
Catalit LLC New!
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC PROCESSING 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC
Catalit LLC
Catalit LLC
Catalit LLC Transfor mer X Transfor mer X' Estimato r X'' y
Catalit LLC EVALUATION 1. Collection 2. Processing 3. Model Building 4. Evaluation 5. Deployment
Catalit LLC
Catalit LLC CONFUSION MATRIX • Accuracy: Overall, how often is it correct? • (TP +TN) / total Test Negative Test Positive Condition Negative TRUE NEGATIVE FALSE POSITIVE (Type I error) Condition Positive FALSE NEGATIVE (Type II error) TRUE POSITIVE
Catalit LLC TRAIN -TEST SPLIT Training data Testing data Model Train Model Measure performance Alldataavailable
Catalit LLC
Catalit LLC
Catalit LLC ATALE OF FLOWERS https://en.wikipedia.org/wiki/Iris_flower_data_set Iris Versicolor Iris Virginica
Catalit LLC BINARY CLASSIFICATION Sepal Length Sepal Width Petal Length Petal Width Type Flower 1 6.2 3.4 5.4 2.3 Virginica Flower 2 5.9 3.0 5.1 1.8 Virginica Flower 3 7.0 3.2 4.7 1.4 Versicolor Features Labels Data Point
Catalit LLC SUPERVISED LEARNING http://www.realsafety.org/wp-content/uploads/2014/11/safety-supervisors-interaction.png
Catalit LLC TUTORIAL Code: dataweekends.com/ml
Catalit LLC THANKYOU Data Weekends Next Data Weekends Dates: 2-day Machine Learning: May 6-7 2-day Intro Deep Learning: May 20 - 21 2-day Advanced Deep Learning: Jun 3 - 4 2-day Intro Deep Learning: Jun 17 - 18

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Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
 

Intro to scikit learn may 2017