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IBM - Machine Learning with Python Offered by IBM 

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Machine Learning with Python Offered by IBM
 at 
Coursera 
Overview

Duration

17 hours

Start from

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Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Machine Learning with Python Offered by IBM
 at 
Coursera 
Highlights

  • Flexible deadlines
  • 100% online
  • Graded quizzes and assignments
  • Taught by top companies and universities
  • Learn on your own schedule
  • Apply your skills with hands-on projects
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Machine Learning with Python Offered by IBM
 at 
Coursera 
Course details

Skills you will learn
Who should do this course?
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Risk Managers
  • Data Engineers
What are the course deliverables?
  • Learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, and so on. You'll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. Also, you understand the advantage of using Python libraries for implementing Machine Learning models.
  • Learn about Linear, Non-linear, Simple and Multiple regression, and their applications. You apply all these methods on two different datasets, in the lab part. Also, you learn how to evaluate your regression model, and calculate its accuracy.
  • Learn about classification technique. You practice with different classification algorithms, such as KNN, Decision Trees, Logistic Regression and SVM. Also, you learn about pros and cons of each method, and different classification accuracy metrics.
  • Learn about different clustering approaches. You learn how to use clustering for customer segmentation, grouping same vehicles, and also clustering of weather stations. You understand 3 main types of clustering, including Partitioned-based Clustering, Hierarchical Clustering, and Density-based Clustering.
  • Learn about recommender systems. First, you will get introduced with main idea behind recommendation engines, then you understand two main types of recommendation engines, namely, content-based and collaborative filtering.
  • Project and report submission.
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More about this course
  • This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components:
  • First, you will be learning about the purpose of Machine Learning and where it applies to the real world.
  • Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

Machine Learning with Python Offered by IBM
 at 
Coursera 
Curriculum

Introduction to Machine Learning

Welcome

Introduction to Machine Learning

Python for Machine Learning

Supervised vs Unsupervised

Regression

Introduction to Regression

Simple Linear Regression

Model Evaluation in Regression Models

Evaluation Metrics in Regression Models

Multiple Linear Regression

Non-Linear Regression

1 practice exercise Regression

Classification

Introduction to Classification

K-Nearest Neighbours

Evaluation Metrics in Classification

Introduction to Decision Trees

Building Decision Trees

Intro to Logistic Regression

Logistic regression vs Linear regression

Logistic Regression Training

Support Vector Machine

Clustering

Intro to Clustering

Intro to k-Means

More on k-Means

Intro to Hierarchical Clustering

More on Hierarchical Clustering

DBSCAN

Recommender Systems

Intro to Recommender Systems

Content-based Recommender Systems

Collaborative Filtering

Final Project

OPTIONAL: Signing-up for a Watson Studio Account

OPTIONAL: Sharing Notebooks on Watson Studio

Machine Learning with Python Offered by IBM
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Machine Learning with Python Offered by IBM
     at 
    Coursera 
    Students Ratings & Reviews

    4.7/5
    Verified Icon56 Ratings
    B
    Bhavya
    Machine Learning with Python Offered by IBM
    5
    Learning Experience: This course builds a strong foundation over machine learning following with a basic exposure to python libraries like - scikit learn, scipy numpy, panda, matplotlib and many more.
    Faculty: The way of teaching of the faculties was very systematic and strategic which helps a lot to a new learner follow up with the topics The course curriculum consists of recorded lectures. There are assignments after each module. These assessments helps analyzing our understanding on the topic.
    Course Support: I gained skills from the course which helped me achieve a new job
    Reviewed on 4 Mar 2023Read More
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    R
    RAJ ROHAN
    Machine Learning with Python Offered by IBM
    5
    Learning Experience: It was a challenging course but definitely useful.
    Faculty: Great. Udemy has uploaded everything in a great way.
    Reviewed on 27 Feb 2023Read More
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    A
    Abhishek kumar
    Machine Learning with Python Offered by IBM
    5
    Learning Experience: Course is all about machine learning techniques and algorithms in which following are the topics taught thoroughly regression and it's types classification, svm, knn and supervised and unsupervised why we need and how to implement and it's errors and resolution that's all about course content and i like it very much
    Faculty: Basic they will teach with the help of slides and tried to explain every concept thoroughly and perfectly Course curriculum is updated and fine with mcqs and online projects also available to learn and implement
    Reviewed on 25 Feb 2023Read More
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    A
    Ashwin Subhash Pagare
    Machine Learning with Python Offered by IBM
    4
    Learning Experience: Course is really good, The way of asking question after each session is good.
    Faculty: Faculty is really good, as they explined mehods by real examples. Curriculum is good, but they can go with more details on each topic
    Reviewed on 5 Feb 2023Read More
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    S
    saroj kumar heisnam
    Machine Learning with Python Offered by IBM
    5
    Learning Experience: I have done Mtech in VlSI butafter taking this couse I feel like I found my area of interest. I have been studying things related to AI and Machine learning. This course is really inspiring and it developed my skills from beginner. I would highly suggest everyone to take this course if u are interested in AI and Deep learning.
    Faculty: The faculty were knowledgeable and teach in such a way a beginner won't have a problem. The course and resourse were updated. The assignment was the market demand topics.
    Course Support: The certificate is useful and the lessons were effective
    Reviewed on 2 Jan 2023Read More
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    Machine Learning with Python Offered by IBM
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