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Machine Learning with Python: A Practical Introduction
BY
IBM
via Edx
Learn about Machine Learning with Python: A Practical Introduction is necessary to create a successful application with ...Read more
Beginner
Online
5 Weeks
Free
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
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Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Learning efforts
4-6 Hours Per Week
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Course overview
Machine Learning with Python: A Practical Introduction Certification Course will explore many popular and modern algorithms including Classification, Regression, Clustering, and models such as Train Split, Root Mean Squared Error (RMSE). Also, students will look and learn from genuine and authentic examples of machine learning and see how it affects society in ways you may not have speculated.
Machine learning from the past few years has become an integral part of many commercial applications, software and research projects, yet this field is not exclusive to huge companies and organizations with extensive research teams. If you start to use Python language, even as a beginner, this short-term course will teach you practical ways to write and build your own machine learning solutions and machine learning applications are limited only by your imagination.
The Machine Learning with Python: A Practical Introduction Classes will be useful for the students to create products that parse, reduce, simplify and categorize computer data, and then extract actionable intelligence from that data. Machine Learning with Python: A Practical Introduction Certification Course is offered by EdX in association with IBM. There are two options for pursuing the self-paced programme; verified and free. In the verified mode, the learners can take the self-paced course by paying the fee and get unlimited access and in the free mode, they can audit it for a limited duration.
The highlights
- Provided by EdX
- Progress at your own speed
- Self-paced course
- E-Certification
Classes by Senior Data Scientist at IBM
Program offerings
- Python
- Python functions
- Introduction to python
- Machine learning
Course and certificate fees
Type of course
Free
Machine Learning with Python: A Practical Introduction Certification Fees is free for all and those requiring shareable certificate need to pay some amount, seats are reserved on a first-come first served basis.
Description | Amount (In INR) |
Course Training Fee for Students | Rs. 8,284/- |
certificate availability
Yes
certificate providing authority
IBM
certificate fees
₹8,284
Who it is for
There shall be ample job opportunities for these roles below if the relevant students apply for Machine Learning with Python: A Practical Introduction Online Course:
- Computer Programmer
- Python Developer
- Machine Learner
- Computer Coder
- Python Programmer
- DevOps Engineer
- Neural Networks Engineer
What you will learn
Machine learning
Knowledge of python
This Machine Learning with Python: A Practical Introduction Training enables learners to take the steps that are necessary to create and implement a successful machine-learning application with Python and the scikit-learn library. It centers around the practical aspects of using machine learning algorithms, rather than the mathematics behind them. Familiarity with the NumPy and Matplotlib libraries will further help you get even more from this short term course. Machine Learning With Python Certification Course helps you get to the desired skills in no time at self-paced learning.
You’ll be capable of performing these after finishing the Machine Learning with Python: A Practical Introduction Certification by EdX
- Work with algorithms
- Transform theoretical knowledge into practical skill
- Hands-on labs
- Basic concepts and applications of machine learning
- Advantages and disadvantages of most widely used machine learning algorithms
- Represent any data processed by machine learning
The syllabus
Module 1: Introduction to Machine Learning
Module 2: Regression
- Linear Regression
- Non-linear Regression
- Model evaluation methods
Module 3: Classification
- K-Nearest Neighbour
- Decision Trees
- Logistic Regression
- Support Vector Machines
- Model Evaluation
Module 4: Unsupervised Learning
- K-Means Clustering
- Hierarchical Clustering
- Density-Based Clustering
Module 5: Recommender Systems
- Content-based recommender systems
- Collaborative Filtering
Admission details
For admissions to this Machine Learning with Python: A Practical Introduction Classes, visit the website https://authn.edx.org/register and register your names.
Step 1: Visit the link
Step 2: Fill up the application form
Step 3: Upload necessary documents
Step 4: Pay the required fee
Step 5: Go through screening
How it helps
Machine Learning with Python: A Practical Introduction Certification Benefits includes the use of machines to reduce human effort and make life a bit easier but considering the advancement in technology we need to think about its apt usefulness and we can surely say that we have achieved way beyond our expectations. Python Certificate Course has a good number of open source libraries and frameworks that make any application development easy and quick. Moreover Machine Learning with Python has numerous libraries that serve different purposes and can be accessed by anyone at any time. Another benefit is that most companies are willing to pay a crazy sum of money to hire people that are well versed in Machine Learning with Python language.
Instructors
Mr Saeed Aghabozorgi
Senior Data Scientist
IBM
Ph.D
FAQs
Why is Python in demand?
According to research and projection, there is a huge gap between demand and supply of python developers/experts in countries like India, USA. Expertise in python by gaining experience or through training adds value to your resume.
How are the classes for this Machine Learning with Python: A Practical Introduction Online Course being held ?
The classes for this course are being held online for 5 weeks.
Are Python Programmers in demand?
Python developers are in high demand because the language is so popular and widely used in web applications to data science and machine learning.
Can a fresher learn machine learning?
Of course. A fresher can get a machine learning job if he/she masters the required skills and thus they need to plan on how they can perform well and work closely with people in the same field.
What is machine learning in Python?
Machine Learning in Python is the ability of the computer processor to learn without being explicitly programmed or automating the learning process without any external human assistance.
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