List of Experiments
Browse and start your machine learning experiments.
1. Linear regression
Understand the core idea of predicting outcomes using a single independent variable.Explore data fitting through the MSE method and visualize relationships effectively.
2. Logistic Regression
Explore how logistic regression predicts categorical outcomes with probability-based decisions.
3. Classification with SVM
Learn to classify data using Support Vector Machines (SVM),that identifies the optimal hyperplane to separate classes effectively.
4. K-Nearest Neighbors (KNN) classifier
Explore unsupervised learning by classifying new data points based on the proximity of existing labeled examples.
5. Decision Tree
A tree-structured model that Predict outcomes by recursively dividing data into branches based on feature values.
6. K Means Clustering
Partition data into K clusters by minimizing intra-cluster variance for unsupervised learning.
7. Random Forest Algorithm
An ensemble of decision trees that improves predictive accuracy and controls overfitting through averaging.
8. Hierarchical Clustering
Grouping Iris flowers into clusters based on feature similarity using hierarchical clustering.
9. Bayes Classifier
Bayesian classification for predicting gender from person attributes with probabilistic inference.
10. Covolution Neural Networks
Efficient CNN-based system for recognizing handwritten numeric characters.