**Machine Learning Steps :**- Collecting Data
- Data Wrangling
- Analyse Data
- Train Algorithm
- Test Algorithm
- Deployment

- Supervised Learning
- Reinforcement Learning
- Unsupervised Learning

**1. Supervised Learning :**

- Regression

*) Polynomial

- Decision Tree

- Random Tree

- Classification

*) Naive Bayes

*) SVM

**2. Reinforcement Learning**

- Q - Learning
- SARSA
- DQN
- DDPG

**3. Unsupervised Learning**

- Clustering

*) SVD

*) PCA

*) K-Means

*) PCA

*) K-Means

- Association Analysis

*) FP-Growth

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