Data Science and Machine Learning are closely related fields that play a significant role in analyzing, predicting, and automating decision-making processes. While Data Science is a broad discipline that involves collecting, processing, and analyzing data, Machine Learning (ML) is a subset of Data Science that focuses on building algorithms that learn from data. Data Science Classes in Pune. https://www.sevenmentor.com/data-science-course-in-pune.php

📌 What is Data Science? Data Science is the process of extracting insights from structured and unstructured data using statistics, data analysis, and machine learning. It helps businesses make data-driven decisions by finding patterns and trends in data.

Key Components of Data Science: Data Collection: Gathering raw data from various sources. Data Cleaning & Preprocessing: Removing inconsistencies and preparing data for analysis. Exploratory Data Analysis (EDA): Identifying trends and correlations in data. Machine Learning & AI: Building models to predict outcomes. Data Visualization: Presenting findings using tools like Tableau and Matplotlib. 🚀 What is Machine Learning? Machine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions without being explicitly programmed. It automates tasks that traditionally required human intelligence.

Key Components of Machine Learning: Training Data: The dataset used to teach the model. Algorithms: Mathematical models that learn from data (e.g., Decision Trees, Neural Networks). Model Training: The process of optimizing the algorithm to make accurate predictions. Evaluation: Testing the model's accuracy using test data.