Machine-Learning-Basics

Repo cover most of the basics of ML, provides an structure plan to learn things quickly and effectively in Machine Learning.

If you Don't Know Python This will be helpful to Quickly go through it. Python

Machine Learning and Deep Learning Algos

Supervised Machine Learning Algorithms

Sno.	Algorithm	Link	Status
1	Simple Linear Regression	Link	✅
2	Multiple Linear Regression	Link	✅
3	Ridge Regression	Link	✅
4	Lasso Regression	Link	✅
5	Elastic Net Regression	Link	✅
6	Logistic Regression	Link	✅
7	Decision Trees	Link(Decision Tree Regressor),Link(Decision Trees)	✅
8	Random Forest	Link(Random Forest Bagging),Link(Random Forest Boosting)	✅
9	Support Vector Machine	Link(SVM Classification),SVM(Kernel)SVM(Regressor)	✅
10	K-Nearest Neighbours	Link	❌
11	Naive Bayes	Link	✅
12	Gradient Boosting	Link	❌
13	AdaBoost	Link	❌

Unsupervised Machine Learning Algorithms

Sno.	Algorithm	Link	Status
1	K-means Clusterring	Link	❌
2	Hierarchical Clustering	Link	❌
3	DBSCAN	Link	❌
4	PCA(Principal Component Analysis)	Link	❌
5	t-SNE	Link	❌
6	Apriori Algorithm	Link	❌
7	FP-Growth	Link	❌

Semi-Supervised Learning Algorithms

Sno.	Algorithm	Link	Status
1	Label Spreading	Link	❌
2	Label Propagation	Link	❌

Reinforcement Learning

Sno.	Algorithm	Link	Status
1	Q-Learning	Link	❌
2	Deep Q-Learning	Link	❌

Deep Learning

Sno.	Algorithm	Link	Status
1	Artificial Neural Networks (ANN)	Link	❌
2	Convolutional Neural Networks (CNN)	Link	❌
3	Recurrent Neural Networks (RNN)	Link	❌
4	Autoencoders	Link	❌
5	Generative Adversarial Networks (GAN)	Link	❌
6	Transformer Networks	Link	❌

Ensemble Learning

Sno.	Algorithm	Link	Status
1	Bagging	Link	❌
2	Boosting	Link	❌
3	Stacking	Link	❌

Dimensionality Reduction

Sno.	Algorithm	Link	Status
1	PCA	Link	❌
2	LDA(Linear Discriminant Analysis)	Link	❌
3	t-SNE	Link	❌

Anomaly Detection

Sno.	Algorithm	Link	Status
1	Isolation Forest	Link	❌
2	One-Class SVM	Link	❌

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