Machine Learning with Real World Projects - Geekshub Pvt. Ltd.

Machine Learning with Real World Projects

By: Geekshub Pvt. Ltd.

eText | 24 July 2019 | Edition Number 1

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Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

Key Features

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

Book 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

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

Who this book is for

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