Machine Learning : Random Forest with Python from Scratch© - Udemy

Are you ready to start your path to becoming a Machine Learning expert!

Are you ready to train your machine like a father trains his son!

A breakthrough in Machine Learning would be worth ten Microsofts." -Bill Gates

There are lots of courses and lectures out there regarding random forest. This course is different!

After taking this course, the curtains of machine learning and especially random forest will be lifted for you. You’ll be learning a state-of-the-art algorithm in details with practical implementation.

This course is truly a step-by-step. In every new tutorial we build on what had already learned and move one extra step forward and then we assign you a small task that is solved in the beginning of next video.

We start by teaching the theoretical part of concept and then we implement everything as it is practically using python

This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well!

We’ll be using python as programming language in this course which is the hottest language nowadays if we talk about machine leaning. Python will be taught from very basic level up to advanced level so that any machine learning concept can be implemented.

We’ll also learn various steps of data preprocessing which allows us to make data ready for machine learning algorithms.

We’ll learn all general concepts of machine learning overall which will be followed by the implementation of one of the most important ML algorithm “random forest”. Each and every concept of random forest will be taught theoretically and will be implemented practically using python.

Machine learning has been ranked one of the hottest jobs on Glassdoor and the average salary of a machine learning engineer is over $110,000 in the United States according to Indeed! Machine Learning is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both beginners with some programming experience or even those who know nothing about ML and random forest!

This comprehensive course is comparable to other Machine Learning courses that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 50 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for random forest and machine learning on Udemy!

We'll teach you how to program with Python, how to use it for data preprocessing and random forest! Here a just a few of the topics we will be learning:

• Programming with Python

• NumPy with Python for array handling

• Using pandas Data Frames to handle Excel Files

• Use matplotlib for data visualizations

• Data Preprocessing

• Machine Learning concepts, including:

• Training and testing sets

• Model training

• Model Validation

• Random forest with sk-learn

• Random forest from absolute scratch

• Implementing random forest on titanic data set

• and much, much more!

Enroll in the course and become an outstanding machine learning engineer today!

Who this course is for:

• This course is for you if you want to learn how to program in Python for Machine Learning

• This course is for you if you want to make a predictive analysis model

• This course is for you if you are tired of Machine Learning courses that are too complicated and expensive

• This course is for you if you want to learn Python and machine learning by doing

• This course is for someone who is absolute beginner and have very little or even zero idea of machine learning

• This course is for someone who want to learn random forest from zero to hero