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Python Tutorials

Our Python tutorials provide a comprehensive curriculum for learning this versatile programming language. They cover Python basics, advanced concepts, and popular libraries, suitable for both beginners and experienced developers. Through hands - on labs and real - world code examples, you'll gain practical Python programming experience. Our interactive Python playground allows you to test different Python features and see immediate results.

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Scikit-learn Linear Regression

Scikit-learn Linear Regression

In this lab, you will learn how to build a simple linear regression model using scikit-learn to predict California housing prices.
Python
Pandas Selecting Data

Pandas Selecting Data

In this lab, you will learn the fundamental techniques for selecting and subsetting data from Pandas DataFrames, including selecting columns, rows, and specific slices of data.
Python
Scikit-learn KNN Classification

Scikit-learn KNN Classification

In this lab, you will learn how to use scikit-learn to build a K-Nearest Neighbors (KNN) classifier, train it on the Iris dataset, and make predictions on new data.
Python
Scikit-learn Cross-Validation

Scikit-learn Cross-Validation

In this lab, you will learn how to perform cross-validation using scikit-learn to evaluate the performance of a machine learning model more robustly.
Python
Matplotlib Scatter Plots

Matplotlib Scatter Plots

In this lab, you will learn how to create and customize scatter plots using Matplotlib, a powerful plotting library in Python. You will practice generating data, plotting points, and modifying marker size and color.
Python
Pandas Introduction and Setup

Pandas Introduction and Setup

In this lab, you will get started with Pandas, a powerful data analysis library in Python. You will learn how to verify its installation, import it, create a basic Series, access its elements, and inspect its properties.
Python
Matplotlib Pie Charts

Matplotlib Pie Charts

In this lab, you will learn how to create and customize pie charts using Matplotlib, a popular data visualization library in Python.
Python
Scikit-learn Data Loading and Exploration

Scikit-learn Data Loading and Exploration

In this lab, you will learn the fundamentals of loading and exploring datasets in scikit-learn using the classic Iris dataset. You will practice accessing data, targets, and feature names, and perform a simple visualization.
Python
Matplotlib Customizing Line Plots

Matplotlib Customizing Line Plots

In this lab, you will learn how to customize various aspects of line plots in Matplotlib, including color, markers, line style, titles, and axis limits to create more informative and visually appealing graphs.
Python
Matplotlib Bar Charts

Matplotlib Bar Charts

In this lab, you will learn how to create and customize vertical and horizontal bar charts using Matplotlib, a powerful plotting library in Python.
Python
Matplotlib Histograms

Matplotlib Histograms

In this lab, you will learn how to create and customize histograms using Matplotlib, a powerful plotting library in Python.
Python
Matplotlib Basic Line Plots

Matplotlib Basic Line Plots

In this lab, you will learn the fundamentals of creating a basic line plot using Matplotlib. You will prepare data, plot it, add labels to the axes, and save the final plot as an image file.
Python
Pandas Reading External Data

Pandas Reading External Data

In this lab, you will learn the fundamentals of reading external data into a Pandas DataFrame. You will use the powerful `read_csv` function and its key parameters to handle various real-world CSV file formats.
Python
Scikit-learn Installation and Setup

Scikit-learn Installation and Setup

In this lab, you will learn how to verify your scikit-learn installation, import necessary modules, and load a sample dataset to get started with machine learning in Python.
Python
Scikit-learn Data Preprocessing

Scikit-learn Data Preprocessing

In this lab, you will learn the fundamental data preprocessing techniques in scikit-learn, including feature scaling with StandardScaler and target encoding with LabelEncoder, using the classic Iris dataset.
Python
Pandas Sorting Data

Pandas Sorting Data

In this lab, you will learn the essential techniques for sorting data in a Pandas DataFrame. You'll explore sorting by single and multiple columns, controlling the sort order, and managing the DataFrame's index after sorting operations.
Python
Matplotlib Installation and Import

Matplotlib Installation and Import

In this lab, you will learn the fundamental steps to get started with Matplotlib, including installation, importing the library, and creating your first empty plot.
Python
Scikit-learn Model Evaluation

Scikit-learn Model Evaluation

In this lab, you will learn how to evaluate a scikit-learn classification model using various metrics, including accuracy, confusion matrix, precision, recall, and F1 score.
Python
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