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Judul : Machine Learning Projects using Python #2.! Programming World
link : Machine Learning Projects using Python #2.! Programming World

Machine Learning Projects using Python #2.! Programming World

Section 2: Forecast the IPO Market Using Logistic Regression

2.1 The IPO Market

Before deciding strategies for the IPO market, we need to study the IPO market and derive inferences from it.

·         Read about the IPO market

·         Look at the performance of the IPO market

·         Study strategies

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2.2 Feature Engineering

The consideration and inclusion of all factors affecting the market is called feature engineering. Modeling this is as important as the data used in building the model.

·         Add features. Retrieve data.

·         Tidy up the underwriter data. Add final features.

·         Transform data into matrix form

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2.3 Binary Classification

Instead of giving the value of the return, you can predict the IPO for a trade you will buy or not buy. The model used is logistic regression.

·         Apply logic regression to the data

·         Split data into training and testing datasets. Fit the model.

·         Evaluate the model

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2.4 Feature Importance

It is important to know which features will make the offering successful. You can find that out in this section.

·         Examine coefficients for logistic regression.

·         Fit random forest classifier.

·         Evaluate summary

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Section 3

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