Confusion matrix in machine learning
A confusion matrix is a N x N matrix that is used to interpret model evaluation performance systematically. Here N is the number of...
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rishabhdwivedi062
- Oct 5, 2022
- 3 min
House price prediction using linear regression model
We will be building a House Price prediction model using linear regression, I will try to make everything simple for you. You can access...
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rishabhdwivedi062
- Sep 16, 2022
- 2 min
Model evaluation metrics in machine learning
They are used to calculate the errors in machine learning models, we will have a detailed look at various model evaluation techniques. 1....
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rishabhdwivedi062
- Sep 12, 2022
- 3 min
How to handle categorical variables in machine learning
Categorical variables are the non-numeric data present in the dataset. We can use it to well to enhance the accuracy of our machine...
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rishabhdwivedi062
- Sep 4, 2022
- 3 min
Data exploration and preprocessing in machine learning - House Price Prediction.
Data exploration and preprocessing are the key aspects of machine learning. With proper exploration and preprocessing we can enhance the...
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rishabhdwivedi062
- Aug 26, 2022
- 2 min
What is Exploratory Data Analysis in machine learning?
EDA is a process of summarizing data, identifying patterns and relationships, and detecting outliers. This type of data analysis in...
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rishabhdwivedi062
- Aug 24, 2022
- 1 min
Understand variables and their type in Machine Learning.
A variable represents one specific characteristic of the data or tells specific information about the data. The above table represents...
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rishabhdwivedi062
- Aug 19, 2022
- 2 min
Types of machine learning algorithms.
Machine learning contains a set of algorithms that work on a huge amount of data. Data is fed to these algorithms to train them, and on...
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rishabhdwivedi062
- Aug 15, 2022
- 2 min
What is Machine Learning? Understand it with a real world example!
Machine learning is the ability of machines to learn from past experiences and predict future outcomes. Therefore it is an art to teach...
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