Data Analytics & ML

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Data Analytics and Machine Learning (ML) are two closely related fields that help businesses and organizations make data-driven decisions, uncover patterns, and automate processes.

Data analytics involves collecting, processing, and analyzing data to extract valuable insights. It helps businesses optimize operations, predict trends, and improve decision-making.
🔹 Types: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
🔹 Tools: Python, R, SQL, Power BI, Tableau

Machine Learning is a subset of artificial intelligence (AI) that enables systems to learn from data and improve over time without explicit programming. ML algorithms analyze patterns and make predictions, automating tasks like recommendation systems, fraud detection, and image recognition.
🔹 Types: Supervised, Unsupervised, Reinforcement Learning
🔹 Tools: TensorFlow, Scikit-learn, PyTorch

Together, Data Analytics and ML empower businesses to gain deeper insights, enhance automation, and improve efficiency across industries like healthcare, finance, marketing, and more.