6 Best Python Machine Learning Courses & Certification [2019]

Best Python Machine Learning course tutorial class certification training online

25 Experts have compiled this list of Best Python for Machine Learning Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn Python for Machine Learning and these courses are suitable for beginners, intermediate learners as well as experts.

 

6 Best Python Data Science Courses, Certification, Training and Tutorial Online [2019]

1. Machine Learning with Python (Coursera)

If you are interested in getting started with the field of machine learning then this is an excellent place to begin. Divided into two parts the classes first discuss the importance of this area and how it can be applied to solve some of the most pressing issues of the world. Following this you will explore some of the fundamental topics like supervised and unsupervised learning, algorithms and evaluation of ML model.

 

Key USPs –

– Learn about classification, clustering and regression problems.

– Tons of examples and demonstrations based on real-world scenarios.

– Guidance is provided for the necessary configuration of tools required to follow along with the lectures.

– Build your portfolio by working on various projects.

– Complete all the graded assessments to earn the completion certificate as well as the IBM digital badge.

 

Duration: 5 to 6 weeks of study, 3 to 6 hours per week

Rating: 4.7 out of 5

You can Sign up Here

 

Review : The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills. -RC

 

 

2. Applied Machine Learning in Python (Coursera)

This comprehensive course uses a practical approach to explain the foundational jargons and the techniques behind the concepts. The initial lectures talk about the dimensions of data, how to perform clustering and apply the different methods of predictive modeling based on the problem. End the lessons by going over some over some of the advanced topics and their limitations.            

 

Key USPs-

– Understand the difference between statistical and ML models.

– Learn about scikit toolkit by following along with the tutorial.

– Identify the characteristics of datasets and decide which technique to apply.

– Write efficient code in Python to analyze challenges and engineer appropriate features.

– The program can be audited for free and the verified certification can be added for an additional fee.

 

Duration: 24 hours, 8 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

Review : Very well structured course, and very interesting too! Has made me want to pursue a career in machine learning. I originally just wanted to learn to program, without true goal, now I have one thanks!! -FL

 

 

3. Python for Data Science and Machine Learning Bootcamp (Udemy)

If you have some prior experience with coding and want to use the knowledge to build a career as a data scientist then this program is here to guide you. Throughout the classes, you will understand how to analyze and visualize data, and implement machine learning algorithms using Python. By the end of the lectures you will be ready to apply for your dream job or go for more advanced certifications.

 

Key USPs-

– Get familiar with tools and software such as Pandas, SciKit-Learn, Seaborn.

– Cover topics like natural language processing, neural networks, regression, plotting and more.

– Every video is accompanied by code notes to help you understand the topic in depth.

– 149 Lectures + 10 Articles + 4 Downloadable resources + Full lifetime access

– Enroll in the course at an affordable rate.

 

Duration: 22.5 hours

Rating: 4.5 out of 5

You can Sign up Here

 

Review : Covers the majority of topics at a decent depth. Demonstrates a working example of every concept, making it easier to relate to. However, does not get into the nitty-gritty of everything taught Overall, a great course for people looking for an applied introduction to different facets of data science. – Shobhit Kulshreshtha

 

 

4. Machine Learning with Python (DataCamp)

Primarily aimed at beginners, this track offers a brief overview of one of the most famous areas of artificial intelligence. Begin by learning how to build predictive models based on the datasets, classifying data and developing an innovative mindset to handle problems in real-time. Once you are done with these lessons you will have a strong foundation that will give you the confidence to enroll in advanced courses and develop marketable skills.   

 

Key USPs-

– Interactive classes make learning a fun experience.

– Keep up with the latest techniques to create solutions using the relevant tools.

– Gain best practices and advice from the instructor and incorporate them into your development process.

– The track consists of 5 courses in total with an increasing level of difficulty.

– Access the lessons for free during the trial period to check if it suits your learning style.

 

Duration: 20 hours

Rating: 4.5 out of 5

You can Sign up Here 

 

 

5. Intro to Machine Learning (Udacity)

It is a fact that machine learning is one of the rapidly growing fields but it sure can be intimidating for beginners to get a grasp of the area. This nanodegree program is here to guide you step by step throughout the whole experience starting from data manipulation and analysis to implementing algorithms. To make the most of the content covered you are expected to have an intermediate level of programming experience in Python.

 

Key USPs-

– All the modules are followed with practical projects that give you the opportunity to integrate and apply the covered theory.

– Get supervision from the one to one mentor assigned to you throughout the program.

– Access to sessions to help you with interview preparation and beyond.

– The study schedule is tailored to fit your daily routine.

– Join the student community to interact with your peer and exchange ideas.

 

Duration: 3 months, 10 hours per week

Rating: 4.5 out of 5

You can Sign up Here 

 

 

6. Machine Learning Certification Training using Python (edureka!)

In this training program you will take a look into all the major concepts such as time series, random forest, decision trees along with the fundamental jargons and classes of algorithms. Once you have a strong footing in the content covered in the lectures, you can move on to real-life case studies to get an understanding of how such challenges are dealt with, in daily scenarios.

 

Key USPs –

– All the concepts are covered from scratch so no prior experience is required.

– Understand the importance of the subject and automate data analysis using Python.

– Learn about reinforcement learning and time series.

– Work with real-time data and get acquainted with the tools used to create predictive models.

– Make decisions for future trends based on the parameters extracted from the datasets.

– Quick response to doubts and queries.

 

Duration: 6 weeks

Rating: 4.4 out of 5

You can Sign up Here

 

So these were the 6 Best Python for Machine Learning Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!