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Machine Learning Hero
8 chapters and 45 canonical sections synced from the Cuantum content database.
Author
Cuantum Tech.
Chapters
8
Reading time
~ 9h
Level
Professional
Language
English
Edition
2025
Your progress0%
Chapters & sections
8 chapters - 45 sectionsChapter 01
Chapter 1: Introduction to Machine Learning
0/6Chapter 02
Chapter 2: Python and Essential Libraries for Data Science
0/812.1 Python Basics for Machine Learning12m22.2 NumPy for High-Performance Computations12m32.3 Pandas for Advanced Data Manipulation12m42.4 Matplotlib, Seaborn, and Plotly for Data Visualization12m52.5 Scikit-learn and Essential Machine Learning Libraries12m62.6 Introduction to Jupyter and Google Colab Notebooks12m8Chapter 2 Summary12m7Practical Exercises: Chapter 212m
Chapter 03
Quiz Part 1: Foundations of Machine Learning and Python
0/4Chapter 04
Chapter 3: Data Preprocessing and Feature Engineering
0/813.1 Data Cleaning and Handling Missing Data12m23.2 Advanced Feature Engineering12m33.3 Encoding and Handling Categorical Data12m43.4 Data Scaling, Normalization, and Transformation Techniques12m53.5 Train-Test Split and Cross-Validation12m63.6 Data Augmentation for Image and Text Data12m8Chapter 3 Summary12m7Practical Exercises Chapter 312m
Chapter 05
Chapter 4: Supervised Learning Techniques
0/6Chapter 06
Chapter 5: Unsupervised Learning Techniques
0/6Chapter 07
Chapter 6: Practical Machine Learning Projects
0/3Chapter 08