What is Machine Learning ?
Machine Learning (ML) is a subset of artificial intelligence (AI) that focuses on
the development of algorithms and statistical models that enable computer systems
to improve their performance on a specific task over time. In essence, machine
learning allows computers to learn from data and make decisions or predictions
without being explicitly programmed for each scenario. The primary goal is to
enable machines to learn patterns, trends, and insights from data and use that
knowledge to perform tasks or make decisions autonomously.
Scope of Machine Learning
The scope of machine learning is vast and continues to expand as the field evolves.
Machine learning has applications across numerous industries, contributing to
advancements in technology, decision-making processes, and automation.

Machine Learning

• Python and Libraries for Data Science
• Exploratory Data Analysis (EDA)
• Supervised Learning
• Model Evaluation and Hyperparameter Tuning
• Unsupervised Learning
• Natural Language Processing (NLP)
• Time Series Analysis and Forecasting
• Ensemble Learning and Advanced Topics
• Model Deployment and Production
• Ethical Considerations and Bias in Machine Learning