Machine Learning with Python Course

Python and Machine Learning knowledge are the two basic statistics and programming requirements to stay relevant in today’s world. This Machine Learning with Python course in Dubai combines the new gold standard programming language with the most significant tech development and lets professionals dive into the roots of machine learning using an approachable, and well-known programming language, Python.

Accredited By

  • 40 Hours Training
  • Online / Classroom / Onsite
  • 25 May, 2024 / 25 May, 2024
  • Additional Program Dates
  • 100K+ Happy Students

(600+ Google Reviews)

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What is this Machine Learning with Python course all about?

The Machine Learning with Python course in Dubai is designed to familiarize participants with various machine learning concepts. This comprehensive training with a blend of hands-on exercises trains participants to build machine learning algorithms from scratch. This Machine Learning with Python course offers a deep understanding of Python and ML and how to relate statistical modelling to machine learning. This course is a great choice for professionals to get started on a brilliant career in Machine Learning. 

Why is getting trained in Machine Learning with Python important?

Python is the major code language for AI and ML. With this training, participants acquire the skills to use different machine learning libraries in Python to generate and apply different types of ML algorithms. This training helps professionals to master Python programming skills for machine learning enabling them to stand out in the competitive global job market and invite the greatest opportunities.

Why do companies hire professionals with Machine Learning with Python certification?

Machine Learning with Python-certified professionals possesses a mix of programming, mathematical, and statistical skills with strong specific subject knowledge which makes them in demand in the global job market. Top-tier companies hire these certified professionals for their exceptional domain expertise and knowledge to fulfill their responsibilities of demanding roles.   

Industry Trends

Machine learning is one of the hottest new technologies to emerge in the last decade, transforming fields from consumer electronics and healthcare to retail. This trend has led to intense curiosity about the industry among many students and working professionals. The Machine Learning with Python certification comes with its own set of merits and opportunities in the market. Let us see how.

Market trends

Machine Learning is a good career path. The growth rate of AI and Machine Learning jobs has increased by 75% over the past four years and is poised to keep growing. According to a report by Indeed, Machine Learning Engineer ranks first in the job list in terms of salary, growth of postings, and general demand. Globally, Machine Learning jobs are projected to grow with an annual growth rate of more than 40% by 2024.


Salary Trends

According to the U.S. Bureau of Labor Statistics, the outlook for all types of computer and technology occupations is extremely favorable and is expected to grow by about 11% from 2019 to 2029. As per a report by Indeed, Machine Learning Engineer is the #1 best job of 2019. With an average salary base of $146,085 and a 344% growth in job postings, Machine Learning Engineer is an extremely promising position. 

Demand & Opportunities

As AI and ML are being applied across industries, organizations invest in these fields, and the demand for experts in ML and AI is growing tremendously. Machine Learning is opening doors to some of today’s most exciting career opportunities. The Machine Learning with Python certification gives an assurance of the necessary competency in related roles, thus making these opportunities easier to avail.

A few of the most-sought Machine Learning jobs available in the Dubai region (as observed in popular Dubai job portals) follow:

  1. Machine Learning Engineers assess, organize, and monitor data sets that feed machine learning systems
  2. Data Scientists collect, analyze and interpret complex sets of data by using machine learning and predictive analytics
  3. Natural Language Processing (NLP) Scientists bridge the gap between human communications and computer understanding by drawing insights from computer science and computational linguistics
  4. Business Intelligence (BI) Developers analyze data sets for business and market trends
  5. Software Engineers research, design, implement and support software solutions
  6. Human-centred Machine Learning Designers are responsible for the design, development, and deployment of information systems that learn from and collaborate with humans

Course Outcome

Successful completion of the Machine Learning with Python course will help you to:

  • Understand the concepts of machine learning and its applications

  • Discover how Python utilizes machine learning

  • Understand various libraries offered by Python to manipulate, preprocess, and visualize data

  • Build machine learning algorithms from the scratch

  • Understand complex logic and data structures

  • Use multiple learning algorithms to obtain better predictive performance

Course Module

  • There are no prerequisites for this Machine Learning with Python course. However, professionals with prior knowledge of foundational python programming and statistics will have the upper hand when grasping concepts.
  • Introduction to Scikit Learn
  • Features of Scikit-Learn
  • Conventions
  • Implementation Steps
  • Data types and Its measures
  • Random Variables Its application with variables
  • Probability-Application with Examples
  • Probability Distribution with Examples
  • Sampling Funnel-Why and How
  • Is Your Data Clean?
  • What is Data Pre-Processing?
  • Data Cleaning Techniques
  • Introduction
  • Need for Feature Engineering in Machine Learning
  • Steps in Feature Engineering
  • Feature Engineering Techniques
  • Linear Regression - Mathematical Intuition
  • Programming of Linear Regression in Python-Scikit Learn
  • Unsupervised Learning
  • Types of Unsupervised Learning
  • Applications of Unsupervised Learning
  • Introduction to Clustering Algorithms
  • Types of Clustering Algorithms
  • What is K-Means Clustering?
  • Implementation of K-Means Clustering
  • Improving Models
  • Basics of Machine Learning
  • What and why Machine Learning
  • Applications of Machine Learning
  • Types of Machine Learning
  • Main Challenges of Machine Learning
  • Vectors (2D,3D)
  • Dot Product
  • Hyperplane
  • Square, Rectangle
  • Hypercube
  • What Is Statistics
  • Basic Terminologies In Statistics
  • Types Of Statistics
  • Descriptive Statistics
  • Measure of Central Tendency ( Mean, Median, Mode )
  • Measures of Dispersion ( Variance, Standard Deviation,Range-its Derivation )
  • Measures of Skewness & Kurtosis
  • Inferential Statistics
  • Introduction
  • 2D Scatter-plot
  • 3D Scatter-plot
  • Pair Plots
  • Univariate, Bivariate, and Multivariate
  • Histogram
  • Box-plot
  • Variance, Standard Deviation
  • Median
  • IQR ( InterQuartile Range)
  • Confusion Matrix
  • ROC Curve
  • Cross Validation in Machine Learning
  • K Fold Cross Validation & Grid Search
  • Difference Between Regression and Classification
  • Various Algorithms in Classification
  • Logistic Regression
  • What is Association Rule Mining?
  • Algorithms in Association Rule Mining
  • Implementation of Apriori in Python

Program Dates

25 May
  • 02:00 PM
  • Sat
  • Classroom
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Expert Instructors & Teaching Methods



We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainer

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Why Count on Learners Point?

Being the leading providers of the Machine Learning with Python course in Dubai, at Learners Point we help professionals master the necessary skill sets to successfully complete the Machine Learning with Python certification.

Following are the USPs our Machine Learning with Python training course offers you:

  • We look at real-world scenarios organizations face and formulate our Machine Learning with Python training course evaluating practical requirements
  •  Apart from theoretical knowledge, we also focus on practical case studies to give you a reality check and insight into what exactly will be asked of you while delivering in a demanding role
  • Our bespoke Machine Learning with Python course also equips you with hands-on experience by offering assignments related to the actual work environment
  • Apart from organizing group sessions, we also offer a guided learning experience to enhance the quality of our Machine Learning with Python training program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional


Learners Experience

"Although I was initially apprehensive to sign up with Learners Point for my Machine Learning with Python course, I'm glad I did. The instructor was patient enough to answer all of my questions, and the entire course helped me learn new material. I recommend Learners Point for having an easy admissions process."

Mehbooba Sajjad

Machine Learning Engineer

"I've finished the Learners Point Academy's Machine Learning with Python course in Dubai. It was a fantastic learning opportunity. All of the concerns were addressed by the very understanding instructor. I wholeheartedly suggest Learners Point Academy for future endeavors because the lessons were presented thoroughly."

Gamal Abdullah

Data Analyst

"The course's curriculum was incredibly well-organized, which enabled me to acquire the required material. I was able to learn a lot about the course thanks to the trainees' sessions and the blended learning approach. I fully endorse Learners Point Academy's course."

Ashraf Iqbal

Technical Support Professional

"The instructor is fantastic. I would take a class with him again. He understands the material and explains it well."

Eric Fardy

Data Scientist

"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."

Dana Bode

Machine Learning Professional

Our Graduates

Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Machine Learning with Python Course

The global job growth for AI and Machine Learning jobs has increased by almost 75% over the past four years and is poised to keep growing. Pursuing a career in Machine Learning is a solid choice for high-paying jobs that will be in demand for decades.
Python is one of the most commonly used languages to build Machine Learning systems. This Machine Learning with Python training enables you to polish your programming and statistical skills and invites numerous opportunities in this emerging sector.
The following are the prerequisites for this Machine Learning with Python course:
1) Basic programming knowledge
2) Familiarity with statistics
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.
Python is the most popular programming language that is used in machine learning and data science applications. Learning Machine Learning with Python will enhance your value in the global job market and give your career a boost. The skills gained through this training approve of your efficiency while performing demanding roles, hence inviting high job positions with lucrative salary packages.
This Machine Learning with Python course in Dubai is ideal for Software or Data Engineers interested in learning the fundamentals of quantitative analysis and machine learning and anyone interested in the field of machine learning and wanting to master essential machine learning algorithms for implementing them in real-life business solutions.
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.