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Python Machine Learning Basics

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Syllabus

Curriculum / Syllabus

Structured modular learning flow designed to take you from absolute basics to job readiness.

Detailed Program Overview & Curriculum

🐍 Python for Machine Learning

> Python & Jupyter Notebook Basics
> NumPy Arrays & Operations
> Pandas DataFrames

🧹 Data Cleaning & EDA

> Handling Missing Values
> Outlier Detection
> Exploratory Data Analysis (EDA)
> Visualization (Matplotlib & Seaborn)

🤖 Machine Learning Fundamentals

> What is Machine Learning?
> Supervised vs Unsupervised Learning
> Train-Test Split
> Scikit-learn Introduction

📈 Regression Models

> Linear Regression
> Multiple Regression
> Model Evaluation (R², RMSE)

🎯 Classification Models

> Logistic Regression
> Decision Trees & K-Nearest Neighbors (KNN)
> Confusion Matrix, Accuracy & F1-Score

🧩 Unsupervised Learning

> K-Means Clustering
> Hierarchical Clustering
> Dimensionality Reduction (PCA Basics)

🚀 Model Tuning & Project

> Feature Scaling & Selection
> Cross-Validation Basics
> End-to-End Mini Project

Program Details

₹300₹375

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Upon completing the core modules and successfully delivering the capstone projects, you will receive a verified course completion certificate. This credential highlights your skills and practical training, and can be shared directly on LinkedIn and job applications.

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