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Applied Advanced Machine Learning In Python

Advanced Machine Learning In Python Programming Language
5.0
5.0/5
(4 reviews)
109 students
Created by

9.7

CourseMarks Score®

10.0

Freshness

9.2

Feedback

9.2

Content

Platform: Udemy
Video: 2h 56m
Language: English
Next start: On Demand

Top Machine Learning courses:

Detailed Analysis

CourseMarks Score®

9.7 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 4/2022.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.2 / 10
We analyzed factors such as the rating (5.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.2 / 10
Video Score: 8.0 / 10
The course includes 2h 56m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
5 resources.
0 exercise.
0 test.

Table of contents

Description

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 and project-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!

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

Requirements

• Student should have a fair idea about Python Programming Language and Google Colab IDE
• Student should be familiar with the basic ML Model building and statistics behind that.

This course is for

• Intermediate & Advance Machine Learning Enthusiasts

How much does the Applied Advanced Machine Learning In Python course cost? Is it worth it?

The course costs $14.99. And currently there is a 73% discount on the original price of the course, which was $20. So you save $5 if you enroll the course now.

Does the Applied Advanced Machine Learning In Python course have a money back guarantee or refund policy?

YES, Applied Advanced Machine Learning In Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Applied Advanced Machine Learning In Python course, but there is a $5 discount from the original price ($20). So the current price is just $14.99.

Who is the instructor? Is Sachida Kumar a SCAM or a TRUSTED instructor?

Sachida Kumar has created 1 courses that got 4 reviews which are generally positive. Sachida Kumar has taught 109 students and received a 5.0 average review out of 4 reviews. Depending on the information available, Sachida Kumar is a TRUSTED instructor.
Senior Data Scientist
A Data Science & AI Practitioner & Career Coach (with over 10 yrs. of Industrial Experience in Top MNCs)
Cofounder of feuchr-School Of Excellence Academy
Research Scholar & Key Imminent Speaker.
I LOVE MAKING COMPLEX THINGS SIMPLER.
Qualifications:
-> B Tech in EEE
-> Masters (PGDM) in Data Sci. & Operation Management.
-> Ph.D. Holder in Data Science & Computer Application.

9.7

CourseMarks Score®

10.0

Freshness

9.2

Feedback

9.2

Content

Platform: Udemy
Video: 2h 56m
Language: English
Next start: On Demand

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