python machine learning

Python for Beginners to Learn New Techniques Complete guide for data analytics Exercise tricks &Tips to Learn Faster C

By: Tony F. Charles

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Paperback | 11 November 2019

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Do you want to enter into the new world of Python machine learning as a beginner in an efficient and effective way?

Do you want to master Python programming language basic syntax, functions and library handling techniques with an ultimate guide book?
Do you want to learn algorithms in a faster way?

Machine learning and Data Science theories provide simple and effective techniques to automate processes and deliver long term advantages to businesses and industries. Python machine learning lets readers begin Python from scratch and develop strong skills for developing and implementing machine learning models.

this book also includes in-depth explanations regarding machine learning algorithms, deep learning concepts, and data analytics approaches. For effective learning, beginners can overview code samples and acquire sharp Python programming skills to develop reliable, accurate, and high-performing machine learning and deep analytics models.

In this book you will learn:

Machine Learning Algorithms
Basics of Python
Getting Started with Machine learning
What is machine learning
Installing machine libraries in your system
Supervised Machine Learning for Discrete Class Label
Machine learning methods
K-Nearest Neighbors
Decision Tree
Support Vector Machine
Naive Bayes Classification
Logistic Regression
Neural Network
Supervised Machine Learning for Continuous Class Label
Regression Models
Unsupervised Machine Learning
Understanding and challenges
Dimension Reduction
Clustering Models
Working with d104 Data
Representing d104 Data as bags of words
Stopwords
Machine Learning Real World Applications

Even if you don't have any experience you can get excellent results In a few days.

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