E3CSchools – Python Tutorials

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Machine learning (ML) is a subfield of artificial intelligence (AI) that focuses on building systems that can learn from and make decisions based on data. Here's a high-level overview of…

Machine Learning

Standard Deviation

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Standard deviation is a measure of the amount of variation or dispersion in a set of values. In machine learning, it is often used to understand the spread of data…

Machine Learning

Mean Median Mode

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Mean, Median, and Mode Using statistics Module Here’s an example demonstrating how to calculate each of these: Mean: The average of a set of numbers. Median: The middle value of…

Machine Learning

What are Percentiles

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Percentiles Explained Percentiles are values below which a certain percentage of the data in a data set falls. For example, the 25th percentile is the value below which 25% of…

Machine Learning

Machine Learning

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Machine learning (ML) is a subfield of artificial intelligence (AI) that focuses on building systems that can learn from and make decisions based on data. Here's a high-level overview of…

Machine Learning

Standard Deviation

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Standard deviation is a measure of the amount of variation or dispersion in a set of values. In machine learning, it is often used to understand the spread of data…

Machine Learning

Mean Median Mode

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Mean, Median, and Mode Using statistics Module Here’s an example demonstrating how to calculate each of these: Mean: The average of a set of numbers. Median: The middle value of…

Machine Learning

What are Percentiles

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Percentiles Explained Percentiles are values below which a certain percentage of the data in a data set falls. For example, the 25th percentile is the value below which 25% of…

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Matplotlib is a powerful library for creating visualizations in Python. One of the most common types of plots is the line plot. Here's a simple example to get you started…

Matplotlib Labels and Title

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Adding labels and a title to your Matplotlib plot is straightforward. These elements help make your plot more understandable by providing context to the data being visualized. Below are examples…

Matplotlib Adding Grid Lines

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Adding grid lines to your Matplotlib plots can improve readability by making it easier to see the values of the data points. Here's how you can add and customize grid…

Matplotlib Subplot

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Creating multiple plots in a single figure using subplots in Matplotlib can be done with the subplot() or subplots() functions. Here are examples of both methods: Using subplot() The subplot()…

Machine Learning

Categorical Data

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Categorical data is a type of data that can be divided into specific categories or…

Machine Learning

Machine Learning – K-means

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K-means clustering is an unsupervised machine learning algorithm used to partition a dataset into distinct,…

Machine Learning

K-nearest neighbors (KNN)

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K-Nearest Neighbors (KNN) is a simple, instance-based learning algorithm used for classification and regression. It…

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Polynomial regression is an extension of linear regression where the relationship between the independent variable XXX and the dependent variable yyy is modeled as an nnn-th degree polynomial. This allows…

Multiple Regression

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Multiple regression is a statistical technique used to model the relationship between a dependent variable and multiple independent variables. In machine learning, this technique is often used to predict an…

Machine Learning – Scale

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"Machine Learning - Scale" generally refers to the ability to apply machine learning techniques and algorithms to large-scale datasets or systems, and involves several key aspects: Scalability of Algorithms: Ensuring…

Machine Learning – Train/Test

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Splitting a dataset into training and testing sets is a fundamental step in building and evaluating machine learning models. The training set is used to train the model, while the…