Machine Learning 🧠

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Machine learning is a type of AI 🧠 that allows software to learn from the data and become more accurate in predicting outcomes without human interventions 👨‍🦱

Machine learning is broadly classified into :

1. Supervised Learning 👀
2. Unsupervised Learning 🙈
3. Semi-Supervised Learning 👀🙈
4. Reinforcement Learning 🙈🙈

Supervised Learning

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The supervised learning is a type of ML that learns from labeled data

• Supervised learning is used in:
  • Regression 📈
  • Classification 🐶🐱

Regression 📈

Regression is type of supervised learning that predicts the continous values.

The most common algorithms:

1. Linear Regression
2. SVR
3. Random Forest Regression

Classification 🐶🐱

Classification is type of supervised learning that predicts the discrete values (Yes or no).

The most common algorithms:

1. Logistic Regression
2. SVC
3. Random Forest Classifier

Unsupervised Learning

In unsupervised learning, the training data consists of a set of input vectors but no corresponding target values

Clustering

A way of grouping the data points into different clusters, consisting of similar data points.

The most common algorithms are:

1. K means Clustering
2. Hierarchical clustering