Machine Learning with Real World Projects: Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

Geekshub Pvt. Ltd.

£372.99

Video Jul 2019 29hrs 47mins 1st Edition

Geekshub Pvt. Ltd.

£372.99

Video Jul 2019 29hrs 47mins 1st Edition

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Key benefits

Learn Machine Learning with real-world case studies
Learn complex theory, algorithms and coding libraries in a very simple way

Description

Want to become a good Data Scientist? Then this is a right course for you. This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well. We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level. We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites. All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Machine-Learning-with-Real-World-Projects

Who is this book for?

Anyone who wants to build his career in Data Science / Machine Learning

What you will learn

Master Machine Learning in Python
Learn to use MatplotLib for Python Plotting
Learn to use Numpy and Pandas for Data Analysis
Learn to use Seaborn for Statistical Plots
Learn All the Mathematics Required to understand Machine Learning Algorithms
Implement Machine Learning Algorithms along with Mathematic intuitions
Projects of Kaggle Level are included with Complete Solutions
Learning End to End Data Science Solutions
All Advanced Level Machine Learning Algorithms and Techniques like Regularisations, Boosting, Bagging and many more included
Learn All Statistical concepts To Make You Ninza in Machine Learning
Real-World Case Studies
Model Performance Metrics
Deep Learning
Model Selection