Data Science and Machine Learning

It helps in making informed decisions using data

It is only used for entertainment purposes

It is not relevant to any industry

It focuses only on collecting data

Recommending shows on Netflix

Writing a novel

Painting a picture

Cooking a meal

A type of computer science that focuses on software testing

A type of computer science that studies human behavior

A type of computer science that focuses on hardware development

A type of computer science that allows computer programs to learn and improve on their own

Supervised learning uses labeled examples.

Unsupervised learning finds patterns in unlabeled data.

Supervised learning is like studying with answer keys.

Unsupervised learning requires labeled data.

NumPy

Pandas

Matplotlib

Tkinter

Analyze Sports Stats

Predict House Prices

Build a personal project

Join clubs and competitions

Classification

Regression

Clustering

Data Visualization

It ensures that AI decisions can be understood and trusted by users.

It makes AI systems operate faster.

It is not important; AI should remain a black box.

It reduces the cost of AI systems.

By using larger datasets

By ensuring diversity in the training data

By increasing the processing power of the computer

By reducing the complexity of the algorithm

Data Scientist

ML Engineer

AI Researcher

Plumber