Machine Studying with Python

About this Course

This course dives into the fundamentals of machine studying utilizing an approachable, and well-known programming language, Python.

On this course, we shall be reviewing two foremost parts: First, you’ll be studying in regards to the goal of Machine Studying and the place it applies to the true world. Second, you’ll get a normal overview of Machine Studying subjects akin to supervised vs unsupervised studying, mannequin analysis, and Machine Studying algorithms. On this course, you observe with real-life examples of Machine studying and see the way it impacts society in methods you might not have guessed! By simply placing in just a few hours per week for the following few weeks, that is what you’ll get. 1) New expertise so as to add to your resume, akin to regression, classification, clustering, sci-kit be taught and SciPy 2) New tasks you can add to your portfolio, together with most cancers detection, predicting financial developments, predicting buyer churn, advice engines, and lots of extra. 3) And a certificates in machine studying to show your competency, and share it anyplace you want on-line or offline, akin to LinkedIn profiles and social media. When you select to take this course and earn the Coursera course certificates, additionally, you will earn an IBM digital badge upon profitable completion of the course.

This course is a part of a number of packages

This course could be utilized to a number of Specializations or Skilled Certificates packages. Finishing this course will rely in the direction of your studying in any of the next packages:

• IBM AI Engineering Skilled Certificates
• IBM Information Science Skilled Certificates

WHAT YOU WILL LEARN

• Give examples of Machine Studying in varied industries.

• Define the steps machine studying makes use of to unravel issues.

• Present examples of assorted strategies utilized in machine studying.

• Describe the Python libraries for Machine Studying.

SKILLS YOU WILL GAIN

• Python Libraries
• Machine Studying
• regression
• Hierarchical Clustering
• Okay-Means Clustering

Syllabus – What you’ll be taught from this course

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WEEK

1

1 hour to finish

Introduction to Machine Studying

On this module, you’ll study functions of Machine Studying in several fields akin to well being care, banking, telecommunication, and so forth. You’ll get a normal overview of Machine Studying subjects akin to supervised vs unsupervised studying, and the utilization of every algorithm. Additionally, you perceive the benefit of utilizing Python libraries for implementing Machine Studying fashions.

WEEK

2

5 hours to finish

Regression

On this module, you’ll get a short intro to regression. You study Linear, Non-linear, Easy and A number of regression, and their functions. You apply all these strategies on two totally different datasets, within the lab half. Additionally, you discover ways to consider your regression mannequin, and calculate its accuracy.

WEEK

3

5 hours to finish

Classification

On this module, you’ll study classification method. You observe with totally different classification algorithms, akin to KNN, Choice Timber, Logistic Regression and SVM. Additionally, you study execs and cons of every methodology, and totally different classification accuracy metrics.

WEEK

4

4 hours to finish

Clustering

On this module, you’ll study totally different clustering approaches. You discover ways to use clustering for buyer segmentation, grouping similar automobiles, and likewise clustering of climate stations. You perceive 3 foremost varieties of clustering, together with Partitioned-based Clustering, Hierarchical Clustering, and Density-based Clustering.