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Machine Learning Classification Bootcamp in Python

Are you ready to master Machine Learning techniques and Kick-off your career as a Data Scientist?.

You came to the right place.

Machine Learning skill is one of the top skills to acquire in 2019 with an average salary of over $114,000 in the United States according to PayScale. The total number of ML jobs over the past two years has grown around 600 percent and expected to grow even more by 2020.

This course provides students with knowledge, hands-on experience of state-of-the-art machine learning classification techniques such as

  • Logistic Regression

  • Decision Trees

  • Random Forest

  • Naïve Bayes

  • Support Vector Machines (SVM)

In this course, we are going to provide students with knowledge of key aspects of state-of-the-art classification techniques. We are going to build 10 projects from scratch using real world dataset, here’s a sample of the projects we will be working on:

  • Build an e-mail spam classifier.

  • Perform sentiment analysis and analyze customer reviews for Amazon Alexa products.

  • Predict the survival rates of the titanic based on the passenger features.

  • Predict customer behavior towards targeted marketing ads on Facebook.

  • Predicting bank client’s eligibility to retire given their features such as age and 401K savings.

  • Predict cancer and Kyphosis diseases.

  • Detect fraud in credit card transactions.

Key Course Highlights:

  • This comprehensive machine learning course includes over 75 HD video lectures with over 11 hours of video content.

  • The course contains 10 practical hands-on python coding projects that students can add to their portfolio of projects.

  • No intimidating mathematics, we will cover the theory and intuition in clear, simple and easy way.

  • All Jupyter noteboooks (codes) and slides are provided.

  • 10+ years of experience in machine learning and deep learning in both academic and industrial settings have been compiled in this course.

Students who enroll in this course will master machine learning classification models and can directly apply these skills to solve real world challenging problems.

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Udemy

Rating 4.0 based on 36 ratings
Length 11.5 total hours
Starts On Demand (Start anytime)
Cost $11
From Udemy
Instructors Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team
Download Videos Only via the Udemy mobile app
Language English
Subjects Data Science Business
Tags Data Science Business Development Data & Analytics

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What people are saying

According to other learners, here's what you need to know

machine learning in 5 reviews

Great course to practice Machine Learning classification models!

Very Softball, NO Fundamentals, NO mathematics, NO real machine learning, you do not just go {from some module import chance of survival} then chance of survival(data), then done.

Very good explanation of Machine Learning The second project in each section could be better.

good its a good overview explanation of machine learning I do not like the many repeats, in my opinion the video can be 25% shorter So far so good.

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logistic regression in 3 reviews

Why scale the training set and test set together (Logistic regression)?

The teacher gives a very good picture of artificial intelligence at the beginning, allowing students to understands most of the buzz words related to this area, such as machine learning, deep learning, KNN, Naive bayes algorithm, logistic regression, ... Also, what my favorite thing in this course was that the teacher spent a lot of time to explain the intuition behind each algorithm, so that when we dive into code, we actually know what we are doing, at least at an abstract level (we don't go too far into mathematics, but we get the idea in simple terms).

So far in the logistic regression section, I have not really seen any specific methods to the tune the models or implement any robust feature engineering to really make an impact.

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excellent course in 3 reviews

Excellent course!

Excellent course.

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dr. ryan in 2 reviews

Amazing job of Dr. Ryan Ahmed.

I wait more course form Dr. Ryan Ahmed.

Read more

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

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Udemy

Rating 4.0 based on 36 ratings
Length 11.5 total hours
Starts On Demand (Start anytime)
Cost $11
From Udemy
Instructors Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team
Download Videos Only via the Udemy mobile app
Language English
Subjects Data Science Business
Tags Data Science Business Development Data & Analytics

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