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Go coding challenges
225 challenges you can solve in Go, from first loops to graphs, dynamic programming and machine learning. Write your code in the browser, run the tests instantly and get an AI review.
Easy · 134 Medium · 67 Hard · 24
Skills you'll practise: CountingDigit extractionString splitting2D listsArithmeticFormulasListsLoopsConditionsDivisibilityFloating pointGradient descent
- Python · C++ · C#
- Automated tests
- AI code review
- Community solutions
- 226
- Challenges
- 123
- Solutions shared
- 9
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All challenges
Search by topic, language, or difficulty.
Easy
Word Tokenizer and Vocabulary
Split text into lowercase words and build a vocabulary sorted by frequency, the first step of any language model.
You'll learn
TokenizationVocabulary building
No solutions yet
Medium
Information Gain
Compute how much splitting on a feature reduces entropy, the criterion behind ID3 decision trees.
You'll learn
EntropyDecision trees
No solutions yet
Easy
Shape Factory
Create shapes from text descriptions with a factory and return the area of each one.
You'll learn
Factory methodPolymorphism
No solutions yet
Easy
Min-Max Normalization
Rescale a feature so its smallest value becomes 0 and its largest becomes 1.
You'll learn
Feature scalingData preprocessing
No solutions yet
Easy
Temperature Sensor Adapter
Adapt readings from Fahrenheit, Kelvin and Celsius sensors to one Celsius interface.
You'll learn
Adapter patternUnit conversion
No solutions yet
Medium
RAII Release Order
Work out the order in which scoped resources are released when their scopes end, as RAII guarantees.
You'll learn
RAIIStacks
No solutions yet
Easy
Matrix Multiplication
Multiply two matrices, the operation behind every layer of a neural network.
You'll learn
MatricesLinear algebra
No solutions yet
Easy
Categorical Cross-Entropy Loss
Measure the loss of a multi-class classifier from its predicted probabilities and the true classes.
You'll learn
Classification lossLogarithms
No solutions yet
Medium
K-Means Clustering
Group points into k clusters by repeatedly assigning them to the nearest centroid and moving the centroids.
You'll learn
ClusteringCentroids
No solutions yet
Medium
Sinusoidal Positional Encoding
Compute the sine and cosine position vectors Transformers add to token embeddings.
You'll learn
Positional encodingTrigonometry
No solutions yet
Medium
K-Nearest Neighbors Classifier
Predict a label by majority vote of the k closest training points.
You'll learn
KNNDistance metrics
No solutions yet
Medium
Naive Bayes Classifier
Predict a class from categorical features with Bayes' theorem and Laplace smoothing.
You'll learn
Bayes' theoremLaplace smoothing
No solutions yet
Easy
Z-Score Standardization
Center a feature at 0 and scale it to a standard deviation of 1.
You'll learn
StandardizationMean and std dev
No solutions yet
Easy
Build a JSON Object
Turn keys and values into a JSON object string, escaping quotes and backslashes correctly.
You'll learn
JSON formatEscaping
No solutions yet
Easy
Gini Impurity
Measure how mixed the labels in a group are, the score decision trees use to choose splits.
You'll learn
Decision treesImpurity measures
No solutions yet
Medium
Temperature and Top-K Sampling
Choose the next token like a language model does: keep the top k logits, apply temperature, and sample.
You'll learn
Text generationSampling
No solutions yet
Medium
Simple Linear Regression (Least Squares)
Fit the best straight line through data points with the least squares formulas.
You'll learn
Least squaresRegression
No solutions yet
Medium
Linear Regression with Gradient Descent
Learn the slope and intercept of a line by repeatedly stepping down the mean squared error.
You'll learn
Gradient descentRegression
No solutions yet
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