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Machine Learning Handwritten Notes

149.00

(1 customer review)

Elevate your Machine Learning skills with our expertly crafted handwritten notes. Whether you’re a novice or a seasoned pro, our notes will boost your understanding and expertise in this cutting-edge field.

Benefits:

  1. Clear and Neat Writing
  2. Easiest Explanation
  3. Best for Exams Preparation
  4. Cover Almost Python Topics
  • Pages: 52
  • Chapters: 8
  • Syllabus: Find Syllabus Below
Category:

Description

Syllabus Included in this Ebook👇

Chapter 1: Introduction to Machine Learning

  • What is Machine Learning?
  • Importance and Applications of Machine Learning
  • Machine Learning vs. Traditional Programming

Chapter 2: Fundamentals of Python

  • Python Basics
  • NumPy and Pandas for Data Manipulation
  • Matplotlib and Seaborn for Data Visualization

Chapter 3: Data Preprocessing

  • Data Cleaning and Handling Missing Values
  • Feature Scaling and Normalization
  • Handling Categorical Data

Chapter 4: Supervised Learning

  • Introduction to Supervised Learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines
  • k-Nearest Neighbors (k-NN)

Chapter 5: Unsupervised Learning

  • Introduction to Unsupervised Learning
  • Clustering Algorithms (K-Means, Hierarchical Clustering, DBSCAN)
  • Dimensionality Reduction (PCA)

Chapter 6: Natural Language Processing (NLP)

  • Introduction to NLP
  • Text Preprocessing
  • Text Classification and Sentiment Analysis
  • Named Entity Recognition (NER)
  • Word Embeddings (Word2Vec, GloVe)

Chapter 7: Case Studies and Practical Projects

  • Real-world Machine Learning Projects
  • Best Practices for Structuring and Documenting Projects

Chapter 8: Future Trends and Advanced Topics

  • Current Trends in Machine Learning
  • Advanced Topics (e.g., Generative Adversarial Networks, Autoencoders, Explainable AI)

1 review for Machine Learning Handwritten Notes

  1. Sakshi Gupta

    Best book for collage students, i prepared my ML exam using this handwritten notes, such a great notes ever

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