Intro to ML with
Yash Potdar & Ishaan Gupta
Before we begin...
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https://github.com/YashPotdar/DS3-Intro-ML |
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Agenda
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What is Machine Learning?
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Supervised Learning
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Unsupervised Learning
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Task 1: Classification
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Task 2: Regression
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rent = f(income)
rent = f(income, # bedrooms, humidity)
Task 3: Clustering
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DEMO
Naive Bayes
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k-Nearest Neighbors (KNN)
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Linear Regression
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Logistic Regression
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k-Means Clustering
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THANKS!
Do you have any questions?
This presentation would not be possible without Avinash Navlani’s awesome tutorials (DataCamp), Josh Starmer’s videos (StatQuest), Scott Robinson’s tutorials (Stack Abuse), and Lorraine Li’s tutorial on k-means clustering.
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