Exploring KNN with the Iris Dataset in Python
Apply the K-Nearest Neighbors algorithm to classify iris flowers using the sklearn iris dataset. Watch this tutorial to learn the key concepts and techniques.
101 articles in Machine Learning
Apply the K-Nearest Neighbors algorithm to classify iris flowers using the sklearn iris dataset. Watch this tutorial to learn the key concepts and techniques.
Evaluate model accuracy using the score method, comparing predictions to the mean baseline. Watch this tutorial to learn the key concepts and techniques.
Visualize numeric pixel data as an image to recognize digit patterns. Watch this tutorial to learn the key concepts and techniques.
Remove outliers from car sales data and retrain the model. Watch this tutorial to learn the key concepts and techniques.
Unpack digit data into training and testing datasets and verify array shapes and types. Watch this tutorial to learn the key concepts and techniques.
Perform crosstabulation analysis to examine the relationship between salary and employee retention. Watch this tutorial to learn the key concepts and...
Explain how handwritten digit images are represented as arrays for training machine learning models. Watch this tutorial to learn the key concepts and...
Analyze how the KNN algorithm misclassified one virginica sample as versicolor due to its proximity to versicolor data points. Watch this tutorial to learn the...
Apply LabelEncoder to convert categorical variables 'sex' and 'embarked' into numeric form. Watch this tutorial to learn the key concepts and techniques.
Train a k-neighbors classifier on the given dataset and test it on a new data point. Watch this tutorial to learn the key concepts and techniques.
Convert the Iris dataset into a pandas DataFrame, map numerical targets to species names, and add this as a new column. Watch this tutorial to learn the key...
Evaluate the model's confusion matrix to identify prediction errors and class imbalances. Watch this tutorial to learn the key concepts and techniques.
Evaluate the model's predictions against the test data to determine accuracy. Watch this tutorial to learn the key concepts and techniques.
Demonstrate calculating minimum, maximum, and mean values from lists and pandas data frames using Python functions. Watch this tutorial to learn the key...
Upload and connect your class files to Google Colab and Google Drive to start using Jupyter Notebooks. Watch this tutorial to learn the key concepts and...
Explore the MNIST dataset to recognize handwritten digits using neural networks. Watch this tutorial to learn the key concepts and techniques.
Apply domain knowledge and data analysis to select relevant features for modeling car prices. Watch this tutorial to learn the key concepts and techniques.
Construct a sequential three-layer neural network using Keras. Watch this tutorial to learn the key concepts and techniques.
Analyze Titanic survival rates by gender and port of embarkation to identify influential factors. Watch this tutorial to learn the key concepts and techniques.
Build a random forest classifier model to predict Titanic survival using Kaggle's dataset. Watch this tutorial to learn the key concepts and techniques.