38 AI & ML Solvers

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Explore our complete collection of AI and Machine Learning solvers with powerful search functionality

38 Solvers Found

Linear Regression

Least squares method and best-fit line calculation

Supervised Learning
  • Interactive plots
  • R² score
  • Step-by-step solution
Open Solver

Logistic Regression

Binary classification with sigmoid function

Supervised Learning
  • Sigmoid activation
  • Binary classification
  • Iterative training
Open Solver

Polynomial Regression

Polynomial curves with Ridge & Lasso regularization

Supervised Learning
  • Degree 1–8 curves
  • Ridge (L2) & Lasso (L1)
  • R²/RMSE metrics
Open Solver

Neural Networks

Forward propagation and activation functions

Deep Learning
  • Visual architecture
  • Multiple activations
  • Adjustable parameters
Open Solver

CNN

Convolutional networks for image processing

Deep Learning
  • Convolution layers
  • Pooling operations
  • Filter visualization
Open Solver

RNN

Recurrent networks for sequential data

Deep Learning
  • Sequence processing
  • Hidden states
  • Time steps
Open Solver

LSTM

Long short-term memory networks

Deep Learning
  • Gates mechanism
  • Long-term memory
  • Gradient stability
Open Solver

Transformer

Attention-based neural networks

Deep Learning
  • Multi-head attention
  • Positional encoding
  • Parallel processing
Open Solver

GAN

Generative adversarial networks

Deep Learning
  • Generator network
  • Discriminator network
  • Adversarial training
Open Solver

Autoencoder

Neural network for dimensionality reduction

Deep Learning
  • Encoder-decoder
  • Latent space
  • Reconstruction
Open Solver

SVM

Support vector machines for classification

Supervised Learning
  • Hyperplane optimization
  • Kernel methods
  • Margin maximization
Open Solver

Decision Tree

Tree-based classification algorithm

Supervised Learning
  • Tree visualization
  • Entropy calculation
  • Information gain
Open Solver

Naive Bayes

Probabilistic classification algorithm

Supervised Learning
  • Bayes theorem
  • Probability calculation
  • Fast training
Open Solver

KNN

K-nearest neighbors algorithm

Supervised Learning
  • Distance calculation
  • K neighbors
  • Voting mechanism
Open Solver

Perceptron

The foundational linear classifier

Supervised Learning
  • Online weight updates
  • Decision boundary
  • Convergence theorem
Open Solver

Softmax Regression

Multiclass logistic regression

Supervised Learning
  • Multiclass
  • Cross-entropy
  • Gradient descent
Open Solver

Linear Discriminant Analysis

Closed-form Gaussian classifier

Supervised Learning
  • Shared covariance
  • Linear boundaries
  • Dimensionality reduction
Open Solver

Random Forest

Ensemble of decision trees

Ensemble Methods
  • Bootstrap sampling
  • Multiple trees
  • Voting mechanism
Open Solver

XGBoost

Extreme gradient boosting algorithm

Ensemble Methods
  • Gradient boosting
  • Regularization
  • Tree ensemble
Open Solver

AdaBoost

Adaptive boosting ensemble method

Ensemble Methods
  • Weak learners
  • Adaptive weighting
  • Sequential training
Open Solver

Ensemble Methods

Combine multiple models for better performance

Ensemble Methods
  • Voting
  • Bagging
  • Stacking
Open Solver

K-Means

Clustering algorithm for grouping data

Unsupervised Learning
  • Cluster visualization
  • Centroid calculation
  • Iterative refinement
Open Solver

DBSCAN

Density-based spatial clustering

Unsupervised Learning
  • Density-based
  • Arbitrary shapes
  • Outlier detection
Open Solver

PCA

Principal component analysis

Unsupervised Learning
  • Dimensionality reduction
  • Variance explained
  • Eigenvalues
Open Solver

Hierarchical Clustering

Agglomerative clustering with dendrogram

Unsupervised Learning
  • Dendrogram
  • Single/complete/average linkage
  • Cut at any k
Open Solver

Gaussian Mixture Model

Soft clustering via the EM algorithm

Unsupervised Learning
  • EM algorithm
  • Soft assignments
  • Covariance ellipses
Open Solver

Apriori & Association Rules

Market-basket analysis

Unsupervised Learning
  • Frequent itemsets
  • Support & confidence
  • Lift
Open Solver

Gradient Descent

Optimization algorithm for machine learning

Optimization
  • Cost function
  • Learning rate
  • Convergence
Open Solver

Hyperparameter Tuning

Optimize model parameters

Model Optimization
  • Grid search
  • Random search
  • Bayesian optimization
Open Solver

Cross-Validation

Model evaluation and validation technique

Model Optimization
  • K-fold validation
  • Model evaluation
  • Generalization
Open Solver

Q-Learning

Reinforcement learning algorithm

Reinforcement Learning
  • Q-values
  • Reward system
  • State-action pairs
Open Solver

Time Series

Temporal data analysis and forecasting

Time Series
  • Trend analysis
  • Moving average
  • Forecasting
Open Solver

Feature Engineering

Transform and create features

Data Preprocessing
  • Normalization
  • Standardization
  • Encoding
Open Solver

Matrix Operations

Linear algebra operations

Mathematics
  • Multiplication
  • Transpose
  • Determinant
Open Solver

Statistics

Statistical analysis and measures

Mathematics
  • Mean & median
  • Variance
  • Standard deviation
Open Solver

Hypothesis Testing

t-tests & z-tests with exact p-values

Mathematics
  • One/two-sample t-test
  • z-test
  • p-values & CI
Open Solver

Markov Chains

Transition matrices & stationary distributions

Probability
  • Transition matrix
  • n-step evolution
  • Stationary distribution
Open Solver

Calculator

Scientific calculator with ML functions

Tools
  • Scientific ops
  • ML functions
  • Activation functions
Open Solver

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