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Mastering Machine Learning Algorithms using Python
Mastering Machine Learning Algorithms using Python

Mastering Machine Learning Algorithms using Python: Build and Optimize ML Models Using Supervised and Unsupervised Algorithms

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Profile Icon Manas Dasgupta
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R$50 per month
Video Jul 2024 28hrs 35mins 1st Edition
Video
R$501.99
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Renews at R$50p/m
Arrow left icon
Profile Icon Manas Dasgupta
Arrow right icon
R$50 per month
Video Jul 2024 28hrs 35mins 1st Edition
Video
R$501.99
Subscription
Free Trial
Renews at R$50p/m
Video
R$501.99
Subscription
Free Trial
Renews at R$50p/m

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Key benefits

  • From basic ML concepts to advanced algorithms
  • Detailed Python modules to enhance your coding skills
  • Techniques for tuning and optimizing machine learning models

Description

Embark on a comprehensive journey into the world of machine learning with this expertly designed course. Begin with foundational principles, terminology of machine learning. Explore various types of machine learning problems, including regression and classification, and understand the crucial role of data. Progressing further, the course covers essential statistical techniques and Python programming. Learn to work with different data types, perform descriptive statistics, and understand probability theory and hypothesis testing. The Python modules span from basic syntax to advanced data manipulation with libraries like NumPy and pandas, providing a solid foundation for data analysis and model building. The course culminates with hands-on projects and case studies, blending theoretical knowledge with practical experience. You'll implement algorithms such as linear and logistic regression, Naive Bayes, decision trees, random forests, and support vector machines. The deep learning section offers a glimpse into neural networks. Through these projects, you’ll gain the skills to optimize and evaluate models, ensuring their effectiveness in real-world scenarios.

Who is this book for?

This course is designed for data enthusiasts, aspiring data scientists, Machine Learning Engineers and AI professionals. A basic understanding of programming is recommended, but no prior knowledge of machine learning is required. The course will guide you from fundamental concepts to advanced implementations, making it suitable for beginners and intermediate learners alike.

What you will learn

  • Implement regression and classification algorithms
  • Perform exploratory data analysis and data preprocessing
  • Utilize Python libraries for data manipulation and visualization
  • Build and optimize machine learning models
  • Understand the principles of deep learning
  • Develop skills to solve real-world machine learning problems

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 15, 2024
Length: 28hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781836646716
Category :
Languages :

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Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Jul 15, 2024
Length: 28hrs 35mins
Edition : 1st
Language : English
ISBN-13 : 9781836646716
Category :
Languages :

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Table of Contents

13 Chapters
Introduction to Machine Learning Chevron down icon Chevron up icon
Statistical Techniques Chevron down icon Chevron up icon
Learning Python Chevron down icon Chevron up icon
Exploratory Data Analysis Chevron down icon Chevron up icon
Linear Regression Chevron down icon Chevron up icon
Logistic Regression Chevron down icon Chevron up icon
Naive Bayes Classification Algorithm Chevron down icon Chevron up icon
Decision Tree Classifier Chevron down icon Chevron up icon
Random Forest Ensemble Chevron down icon Chevron up icon
Support Vector Machine Chevron down icon Chevron up icon
Dimensionality Reduction - Principal Component Analysis (PCA) Chevron down icon Chevron up icon
Unsupervised Learning using K-Means Clustering Chevron down icon Chevron up icon
Introduction to Deep Learning Chevron down icon Chevron up icon
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