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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