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 28, 2022
- 1 min
Understand logistic regression and logit function in depth.
Logistic Regression is a classification algorithm where we only have two choices either true or false. A categorical target variable is...
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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...
60 views0 comments
rishabhdwivedi062
- Sep 23, 2022
- 2 min
How to optimize linear regression model using gradient descent.
It is an optimization algorithm that works iteratively and aims to find the minimum value of a convex function with respect to a set of...
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rishabhdwivedi062
- Sep 21, 2022
- 1 min
What is linear regression in machine learning
Linear regression is a statistical method that is used for predictive analysis. It is used to predict sales, salary, prices, age, etc....
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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 29, 2022
- 1 min
What is descriptive statistics in machine learning?
Descriptive statistics are calculated only for numerical variables. It gives us the detailed results of our dataset which includes mean,...
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rishabhdwivedi062
- Aug 27, 2022
- 1 min
Types of graphs used in machine learning
Graphs are the most useful thing used in data exploration and feature engineering part of machine learning. With the help of graphs, we...
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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...
273 views0 comments
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