Data Science and Machine Learning

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Master the Future: Complete Data Science and Machine Learning. In an era where data is the new oil, the ability to analyze, interpret, and predict trends is the ultimate competitive advantage. This course is your comprehensive roadmap to mastering the ecosystem of Data Science and Machine Learning using Python. Whether you are looking to automate complex processes, identify hidden patterns, or build the next generation of AI-driven applications, this course provides the end-to-end training required to transform raw data into actionable intelligence.

53 Modules

226 Lectures

40H

Data Science and Machine Learning

₹399

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Course Content

What You'll Learn

Python Libraries: Master NumPy for math and Pandas for data manipulation.
Supervised Learning: Build Regression and Classification models (KNN, Trees, SVM).
Unsupervised Learning: Explore Clustering (K-Means) and PCA for data reduction.
Data Visualization: Create stunning charts using Matplotlib and Seaborn.
Real-World Practice: Complete a hands-on Kaggle heart attack prediction project.
Performance Metrics: Evaluate models using Cross-Validation and error analysis.
Complex Systems: Learn to build Recommender Systems and Neural Network foundations
AI Fundamentals: Understand the core logic behind Machine Learning and AI.

Requirements

Python Basics: A simple understanding of variables, loops, and functions.
Tech Literacy: Ability to install software and navigate your computer.
Basic Hardware: Any PC, Mac, or Linux machine capable of running a browser.
Software: Usage of free tools like Anaconda and Jupyter Notebooks.
Commitment: Desire to finish lectures in order and tackle practical challenges.
No Advanced Math: No PhD required; we explain the math in plain English.
Ambition: A passion to join the high-growth field of Data Science.

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