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Build real Machine Learning projects with 17 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

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Practice Machine Learning Programming Projects

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🇨🇳 简体中文 🇯🇵 日本語 🇪🇸 Español 🇫🇷 Français 🇩🇪 Deutsch 🇷🇺 Русский 🇰🇷 한국어 🇧🇷 Português 🇺🇸 English

Machine Learning is revolutionizing industries worldwide. This Skill Tree offers a systematic way to learn ML concepts and techniques. Tailored for beginners, it provides a clear roadmap to grasp algorithms, model training, and data analysis. Hands - on, non - video courses and practical exercises in an interactive ML playground help you develop real - world skills in building and deploying machine learning models.

Exercises

Index Name Difficulty Practice
01 Deploying MobileNet With TensorFlow.js and Flask Beginner 🚀 Start Lab
02 Deploying a Simple TensorFlow Model Beginner 🚀 Start Lab
03 Classifying Iris Using SVM Beginner 🚀 Start Lab
04 Broad Listening Leads to Insight Beginner 🚀 Start Lab
05 Implementing Confusion Matrix for Classification Beginner 🚀 Start Lab
06 Data Cleaning and Purification with Python Beginner 🚀 Start Lab
07 Divide Dataset Into Mini-Batches Beginner 🚀 Start Lab
08 Early Stopping for Machine Learning Beginner 🚀 Start Lab
09 Encoding Label to One-Hot Beginner 🚀 Start Lab
10 Optimizing Gradient Descent for Global Optimization Beginner 🚀 Start Lab
11 K-Nearest Neighbors Regression Algorithm Implementation Beginner 🚀 Start Lab
12 Linear Regression Fitting and Plotting Beginner 🚀 Start Lab
13 Nonlinear Regression Model Estimation Beginner 🚀 Start Lab
14 Implementing Minkowski Distance Metric Beginner 🚀 Start Lab
15 Implementation of Polynomial Regression Beginner 🚀 Start Lab
16 Simple Handwritten Character Recognition Classifier Beginner 🚀 Start Lab
17 Balanced Batch Generation for Imbalanced Datasets Beginner 🚀 Start Lab

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Build real Machine Learning projects with 17 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.

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