Splitting datasets (Train-test split) and introducing metrics || Introduction to Machine Learning

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Ave Coders!

In this lesson, we are going to learn about the danger of overfitting, how to tackle it by splitting our data into training, validation and test sets, how to do it in python scikit learn library and what metrics are available to us in classification problems to assess the performance of our model, and what is k-fold cross validation.

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  1. Ave Coders
  2. EDA
  3. Exploratory Data analysis
  4. Data Preprocessing
  5. Data Analysis
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