Machine Learning with Python

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.

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  • 5 weeks | 35 hours Bootcamp
  • Online / Offline / Blended
  • 27 May, 2022 / 4 Jun, 2022
  • Additional Program Dates
  • 100K+ Happy Students

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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 modeling to machine learning. This course is a great choice for professionals to get started on a brilliant career in Machine Learning. 

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 learnin...

Read More

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 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...

Read More

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.   

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 marke...

Read More

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 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 Trend 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-Centered 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

  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model

Course Module

  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model

Program Dates

27 May
  • 11:00 AM
  • Fri
  • Classroom
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4 Jun
  • 11:00 AM
  • Sat
  • Classroom
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Expert Instructors & Teaching Methods

 

 

Learners Point has a reputation for high-quality training that makes a difference in people’s lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

Our Trainer

 

 

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

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

Eric F

Student

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

The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were [...]

RC

University student

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!

Frequently Asked Questions

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.
Enquire Now Talk to an Expert

Frequently Asked Questions

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 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.
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.
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 following are the prerequisites for this Machine Learning with Python course:
1) Basic programming knowledge
2) Familiarity with statistics
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.
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.
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