Uploaded byFrancesco Mosconi
Intro to scikit learn may 2017
The document outlines a workshop conducted by Catalit LLC on scikit-learn and machine learning techniques, covering topics such as data manipulation with pandas, model building, and performance evaluation. It provides details on the types of problems suitable for machine learning, including classification, regression, and sentiment analysis. Additionally, it lists upcoming data weekends for further learning opportunities in machine learning and deep learning.
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Intro to scikit learn may 2017
- 1. Catalit LLC SCIKIT-LEARNTUTORIAL Francesco Mosconi SFData Mining Meetup @ Google Launchpad May 2017 Data Weekends
- 2. Catalit LLC BEFORE WESTART Download and install: MINICONDA PYTHON 2.7 from here: https://conda.io/miniconda.html
- 3. 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
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- 8. Catalit LLC MLTECHNIQUES CONTINUOUS CATEGORICAL SUPERVISEDREGRESSION CLASSIFICATION UNSUPERVISED CLUSTERING
- 9. Catalit LLC TYPES OFPROBLEMS
- 10. Catalit LLC TYPES OFPROBLEMSSentiment Analysis Heart MonitoringBook recommendation Caption generation Human recognition
- 11. Catalit LLC TYPES OFPROBLEMS House price prediction Document classification Social Network Analysis
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- 13. Catalit LLC MODEL BUILDING 1. Collection 2. Processing 3.Model Building 4. Evaluation 5. Deployment
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- 30. 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
- 31. Catalit LLC TRAIN -TESTSPLIT Training data Testing data Model Train Model Measure performance Alldataavailable
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- 34. Catalit LLC ATALE OFFLOWERS https://en.wikipedia.org/wiki/Iris_flower_data_set Iris Versicolor Iris Virginica
- 35. Catalit LLC BINARY CLASSIFICATION SepalLength 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
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- 38. Catalit LLC THANKYOU Data Weekends NextData 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