All you Need To Get Started with Machine Learning with Python Course

New to Machine Learning using Python programming? But do you wish to get training in ML with Python to start your career in this field? Then, this comprehensive course from Edoxi Training Institute is just right for you!

You will learn all the concepts of Python and ML along with supervised and unsupervised learning, understand how Statistical Modelling relates to Machine Learning, and learn to build algorithms with practical hands-on exercises. 

Why should you learn Machine Learning with Python?

Big data and its analysis have grown exponentially that it has changed the way businesses operate. Python Programming is a strong contender for carrying out predictive analysis on Big Data because of its syntax, clarity, and easy readability.
Python for Machine Learning is a potent programming language for building algorithms for smart and intelligent machines that work without human intervention and continuously learn, evolve, and improve by taking in new data.

  • Python-based machine learning is widely used in healthcare, insurance, banking, software and several other industries.
  • The machine learning industry is growing at an exponential rate. It is a trend that will sweep the world in the near future.

Master Machine Learning with Python and become part of the technology revolution that will shape the future world

Objectives of our Machine learning with Python Training in Dubai? 

During your Machine Learning and Python Course with Edoxi Training Institute in Dubai, you'll learn from the basic to advanced ML concepts.
You will understand all the concepts of Python and ML along with Supervised and unsupervised learning, understand how Statistical Modelling relates to Machine Learning, and learn to build algorithms with practical hands-on exercises. 

  • Statistical Learning 
    Understand the behavior of data as you build significant models
  • Python for Machine Learning
    Learn about the various libraries offered by Python to manipulate, pre-process and visualize data
  • Fundamentals of Machine Learning
    Learn about Supervised and Unsupervised Machine Learning
  • Optimization Techniques
    Learn to use optimization techniques to find the minimum error in your machine learning model
  • Machine Learning Algorithms
    Learn various machine learning algorithms like KNN, Decision Trees, SVM, Clustering in detail
  • Building models
    Build model using algorithms to implement in scenarios using Python libraries such as Scikit learn
  • Dimensionality Reduction
    Learn the technique to reduce the number of variables using Feature Selection and Feature Extraction
  • Neural Networks
    Understand Neural Network, apply them to classify the image, and perform sentiment analysis
  • Ensemble Learning
    Learn to use multiple learning algorithms to obtain better predictive performance

Who can pursue our Machine learning with python Training in Dubai 

  • Software Engineers
  • Data Engineers
  • Data Analysts
  • Data Scientists
  • E-commerce Professionals
  • Search Engine Domain Professionals
  • Fresh Graduates
  • Software professionals looking for a career switch
  • Candidates with elementary programming knowledge
  • Candidates with knowledge of linear algebra and statistics

Why Choose Edoxi for Machine learning with Python Course? 

At Edoxi Training Institute, our comprehensive course on Machine Learning with Python will help you to learn about the purpose of Machine Learning and where it applies to the real world. You will also get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

Machine learning enthusiasts are today among the most sought-after professionals. Learn to build incredibly smart solutions that positively impact people’s lives, and make businesses more efficient!
Sign up for this comprehensive course and learn from industry experts who will handhold you through your learning journey. Earn an industry-recognized Machine Learning with Python Certification from Edoxi Training Institute upon successful completion of the course.

Course Advisor

Jothi Kumar

Software and IT Trainer

Jothi is a Microsoft-certified technology specialist with more than 12 years of experience in software development for a broad range of industry applications. She has incomparable prowess in a vast grouping of software development tools like Microsoft Visual Basic, C#, .NET, SQL, XML, HTML, Core Java and Python.

Jothi has a keen eye for UNIX/LINUX-based technologies which form the backbone of all the free and open-source software movement. As a Big data expert, Jothi has experience using several components of the Hadoop ecosystem, including Hadoop Map Reduce, HDFS, HIVE, PIG, and HBase. She is well-versed in the latest technologies of information technology such as Data Analytics, Data Science and Machine Learning.

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What is Machine Learning?

Machine learning is an application of Artificial Intelligence which trains computers and machines to predict outcomes based on examples and previous experiences, without the need for explicit programming.Currently, machine learning has been used in multiple fields and industries. For example, medical diagnosis, image processing, prediction, classification, learning association, regression etc.
Image recognition is one of the most common uses of machine learning. There are many situations where you can classify the object as a digital image. For example, in the case of a black and white image, the intensity of each pixel is served as one of the measurements. In coloured images, each pixel provides 3 measurements of intensities in three different colours – red, green and blue (RGB).
At Edoxi Training Institute, our Machine learning course will help you to master this science and understand Machine Learning algorithms, which include Supervised Learning, Unsupervised Learning, Reinforcement Learning and Semi-Supervised Learning algorithms.

How Edoxi’s Machine Learning Course with Python help you?

Our Machine Learning Course with Python helps you to understand and learn:

  • The basic concepts of the Python Programming language
  • About Python libraries (Scipy, Scikit-Learn, TensorFlow, Numpy, Pandas,)
  • The data structure of Python
  • Machine Learning Techniques
  •  Basic Descriptive and Inferential Statistics before advancing to serious Machine learning development.
  • Different stages of Data Exploration/Cleaning/Preparation in Python
What are the Course specifications of Machine Learning with Python at Edoxi? 

The Machine Learning Course with Python by Edoxi is a 48 hour, instructor-led live training course. It also includes 45 hours of the hands-on practical session, along with 10 live projects.

Why Learn Machine Learning from Edoxi?

Our Machine Learning course with Python will help you get hands-on experience of the following:

  • Learn to implement statistical operations in Excel.
  • Get a taste of how to start work with data in Python.
  • Understand various optimization techniques like Batch Gradient Descent, Stochastic Gradient Descent, ADAM, RMSProp.
  • Learn Linear and Logistic Regression with Stochastic Gradient Descent through real-life case studies.
  • Learn about unsupervised learning technique - K-Means Clustering and Hierarchical Clustering. Real-Life Case Study on K-means Clustering.
  • Learn about Decision Trees for regression & classification problems through a real-life case study.
  • Get knowledge on Entropy, Information Gain, Standard Deviation reduction, Gini Index, CHAID.
  • Learn the implementation of Association Rules. You will learn to use the Apriori Algorithm to find out strong associations using key metrics like Support, Confidence and Lift. Further, you will learn what are UBCF and IBCF and how they are used in Recommender Engines.
What are the prerequisites for Machine Learning with Python?

 For Machine Learning, it is important to have sufficient knowledge of at least one coding language. Python being a minimalistic and intuitive coding language becomes a perfect choice for beginners.

How does Machine Learning work?

The algorithm of machine learning is trained using a training data set so that a model can be created. With the introduction of any new input data to the ML algorithm, a prediction is made based on the model.
The accuracy of the prediction is checked and if the accuracy is acceptable, the ML algorithm is deployed. For cases where accuracy is not acceptable, the Machine Learning algorithm is trained again with supplementary training data set.
There are various other factors and steps involved as well. This is just an example of the process.

What are the advantages of Machine Learning?
  •  It is used in multifold applications such as financial and banking sectors, healthcare, publishing, retail, social media, etc.
  • Machine learning can handle multi-variety and multi-dimensional data in an uncertain or dynamic environment.
  • Machine learning algorithms are used by Facebook and Google to push advertisements which are based on past search patterns of a user.
  • In large and complex process environments, Machine Learning has made tools available which provide continuous improvement in quality.
  • Machine learning has reduced the time cycle and has led to the efficient utilization of resources.
What are Industries using Machine Learning?

Various industries work with Machine Learning technology and have recognized its value. It has helped and continues to help organisations to work in a more effective manner, as well as gain an advantage over their competitors. 

Financial services:

Machine Learning technology is used in the financial industry due to two key reasons: to prevent fraud and to identify important insights in data. This helps them in deciding on investment opportunities, that is, helps the investors with the process of trading, as to identify clients with high-risk profiles. 


Machine learning is finding varied uses in running government initiatives. It helps in detecting fraud and minimizes identity theft. It’s also used to filter and identify citizen data. 

Health Care: 

Machine Learning in the health care sector has introduced wearable devices and sensors that use data to assess a patient’s health in real-time, which might lead to improved treatment or diagnosis. 

Oil and Gas:

There are numerous use cases for the oil and gas industry, and it continues to expand. A few of the use cases are: finding new energy sources, predicting refinery sensor failure, analyzing minerals in the ground, etc. 


Websites use Machine Learning to recommend items that you might like to buy based on your purchase history.

What is the future of Machine Learning? 

Machine learning has transformed various sectors of industries including retail, healthcare, finance, etc. and continues to do so in other fields as well. Based on the current trends in technology, the following are a few predictions that have been made related to the future of Machine Learning.
Personalization algorithms of Machine Learning offer recommendations to users and attract them to complete certain actions. In future, the personalization algorithms will become more fine-tuned, which will result in more beneficial and successful experiences.
With the increase in demand and usage for Machine Learning, the usage of Robots will increase as well.
Improvements in unsupervised machine learning algorithms are likely to be observed in the coming years. These advancements will help you develop better algorithms, which will result in faster and more accurate machine learning predictions.
Quantum machine learning algorithms hold the potential to transform the field of machine learning. If quantum computers integrate to Machine Learning, it will lead to faster processing of data. This will accelerate the ability to draw insights and synthesize information.