How To Train a Good Classification Model | Logistic Regression in Python

Опубликовано: 27 Декабрь 2019
на канале: Unfold Data Science
6,767
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How To Train a Good Classification Model | Logistic Regression in Python
#ClassificationModel #LogisticRegression #UnfoldDataScience

Hi,
My name is Aman and I am a data scientist.

About this video:
In this video, I talk about details of classification model which makes a model good and stable. How to train a good classification model is core concept covered in this video. This video is part 1 of this training example where I discuss about important concepts which describes goodness of a classification model.
Below questions are answered in this question:
1. What is a good classification model?
2.What is a stable classification model?
3.How to train a good classification model
4. What is confusion matrix
5. What is true positive, false positive,true negative and false negative
6. What is AUC and ROC

In my next video, i will show the exact python codes to implement the logistic regression in Python and train a good classification model.

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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