Introduction to Machine Learning Workshop (5days)
The five day workshop on machine learning was conducted in association with https://techmaghi.com/. More than 300 students showed up for the 5 day workshop. The average rating for the workshop was 4.6, which implies that the workshop was a grand success.
Topics covered are:
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Day 1
- Introduction to machine learning
- Applications of machine learning
- Introduction to Python- terminal
Resources required-presentation slides
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Day 2
- Setting up the coding environment
- Introduction to Jupyter notebooks
- Introduction to NumPy, Pandas
- Lab session on basics of NumPy and Pandas
Resources required – notebook for introducing pandas, Links to study Panda
- Setting up the coding environment
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Day 3
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Introduction to Linear regression- house price prediction
- R2 score
- A brief introduction to regularization- graph of overfitting
Lab session on Linear regression
Resources required – notebook for introducing Linear regression, Real world Examples
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Day 4
- Introduction to logistic regression
- Cross entropy score
- A brief introduction to regularization
- Confusion matrix
- Introduction to logistic regression
Lab session on logistic regression
- Day 5
- Main project- Spam classification
- Text preprocessing
- NLTK
- Bag of words representation, Stemming, Lemmatization,
- Fitting Logistic Regression model
- Identifying spam
- Text preprocessing
- Conclusion and future scope
- Main project- Spam classification