Applied Advanced Machine Learning In Python

Applied Advanced Machine Learning In Python, available at $54.99, has an average rating of 4.8, with 13 lectures, based on 5 reviews, and has 155 subscribers.

You will learn about Fundamentals about Machine Learning & how it is better than conventional automations Starting From What Is Machine Learning To Practical Implementation Covers Detailed Concept Of All ML Models & Algorithms-Basic To Adv How To Build Your ML Models On Real Data Set Fine tuning Of The Models For Better Accuracy & Prediction Understanding The Parameters Of All Kinds Of ML Models Steps Involved In ML Model Building & Important Terms How To improve The Accuracy Using Advance Techniques . Important Model Evaluation Metrics & Important Resources This course is ideal for individuals who are Intermediate & Advance Machine Learning Enthusiasts It is particularly useful for Intermediate & Advance Machine Learning Enthusiasts.

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Summary

Title: Applied Advanced Machine Learning In Python

Price: $54.99

Average Rating: 4.8

Number of Lectures: 13

Number of Published Lectures: 13

Number of Curriculum Items: 13

Number of Published Curriculum Objects: 13

Original Price: ?3,999

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals about Machine Learning & how it is better than conventional automations

Starting From What Is Machine Learning To Practical Implementation

Covers Detailed Concept Of All ML Models & Algorithms-Basic To Adv

How To Build Your ML Models On Real Data Set

Fine tuning Of The Models For Better Accuracy & Prediction

Understanding The Parameters Of All Kinds Of ML Models

Steps Involved In ML Model Building & Important Terms

How To improve The Accuracy Using Advance Techniques .

Important Model Evaluation Metrics & Important Resources

Who Should Attend

Intermediate & Advance Machine Learning Enthusiasts

Target Audiences

Intermediate & Advance Machine Learning Enthusiasts

Learn the hands-on tutorial on Advance Machine Learning Algorithms like GBM, AddaBoosting techniques, XGBoost, and many more.This Course Will Give You A Precise Approach To Machine Learning:

Starting From What Is Machine Learning To Practical Implementation

Covers Detailed Concept Of All ML Models & Algorithms-Basic To Adv.

How To Build Your ML Models On Real Data Set.

Fine-tuning Of The Models For Better Accuracy & Prediction.

Understanding The Parameters Of All Kinds Of ML Models.

Steps Involved In ML Model Building & Important Terms.

Machine Learning In MS Excel, Python & R Prog. Lang.

Salary Structure And Role Of ML Practitioner.

How To Improve Accuracy Using Advance Techniques.

Important Model Evaluation Metrics & Important Resources

Learn the Applied Data Science and Machine Learning, get hired and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know).

This comprehensive andproject-based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real-world projects to add to your portfolio.You will get access to all the code, workbooks, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on-the-job skills that employers want.

The curriculum is going to be very hands-on as we walk you from start to finish about becoming a professional Machine Learning and Data Science engineer.

The topics covered in this course are:

Let’s Understand Machine Learning In Details

Everything You Need To Know About ML Before Getting Started

General Approach To All ML Model Building

Overview To Advance ML Models

Facts About Adv ML Models

Fundamentals About Gradient Boosting Technique

Hands On Tutorial- GBM With Python

Intro To AddaBoost

AddaBoost Working Principle

AddaBoost With Python

XGBoost Overview, Intro

XGBoost Parameters

XGBoost With Python-Part 1

XGBoost With Python-Part 2

XGBoost With Python-Part 3

XGBoost Conclusion

By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects. By the end, you will have a stack of projects you have built that you can show off to others.

Here’s the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don’t know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don’t really explain things well enough for you to go off on your own and solve real-life machine learning problems.

Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don’t know what to do other than watch another tutorial. No! This course will push you and challenge you to go from a beginner in Data Science experience to someone that can go off to advance model building.

Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career.

You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Everything You Should Know About Machine Learning

Lecture 2: Mindset To Use machine Learning

Lecture 3: Introduction Me

Chapter 2: Approach To Machine Learning Model Building

Lecture 1: General Approach To Machine Learning Model Building

Chapter 3: Gradient Booting Machine Learning Algorithm

Lecture 1: GBM ML Algorithms-Fundamentals

Lecture 2: GBM ML Algorithms-Hands On Tutorial

Chapter 4: AddaBoost Machine Learning Algorithm

Lecture 1: AddaBoost ML

Lecture 2: AddaBoost-Hands On Tutorial

Chapter 5: Extreme Gradient Boosting Technique

Lecture 1: XGBoost Fundamentals

Lecture 2: XGBoost Working Principle

Lecture 3: XGBoost-Hands On Tutorial

Lecture 4: XG Boost-Hands On Tutorial-Part 2

Lecture 5: XGBoost-Hands On Tutorial-Part 3

Instructors

Anand Kumar
Senior Data Scientist

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5 stars: 4 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!