logo
Courses
    logo
  • Courses
  • Corporate Training
  • Testimonials
logo

Address

Suite 610 - The Business Center, Opp to Burjuman Centre, Adjacent to Burjuman Metro Station Exit 4, Khalid Bin Walid Street. P.O.Box: 94743 Dubai, UAE

Quick Links

  • About Us
  • Blog
  • Corporate Training
  • Contact Us
  • LP Talks
  • Student Login
  • Privacy Policy
  • Terms and Conditions
  • Refund Policy
  • Pay Now

Contact us

  • info@learnerspoint.org
  • +971 (04) 4038000
  • 800SKILL(75455)
  • +1 347 637 6133
  • +44 20 4524 4199
  • +966112036111
  • +91 97462 22034
  • +971566335515

Stay connected

Privacy Policy

Advanced Machine Learning with Python

Master advanced ML with Python tools

21 hours of expert-led training

In-depth learning on TensorFlow & PyTorch

High-demand skills with 40% job growth

Personalized 1:1 doubt-clearing sessions

4.9/5

4859 Enrolled

Overview

What our training includes:

  • Gain comprehensive insights into Python's role in advanced Machine Learning
  • Master the implementation of ML models using TensorFlow and PyTorch
  • Explore deep learning techniques, including convolutional neural networks
  • Understand and apply unsupervised and semi-supervised learning methods
  • Enhance predictive model accuracy with advanced ensemble techniques

Learning Objectives

After the course concludes, you will be able to:

  • 1

    Develop a solid understanding of advanced machine learning techniques, including neural networks, deep learning, and natural language processing

  • 2

    Apply advanced machine learning methods using Python libraries like TensorFlow, PyTorch, and Scikit-learn

  • 3

    Master techniques for data preprocessing, feature selection, and evaluating machine learning models

  • 4

    Gain proficiency in handling large datasets with Pandas, NumPy, and other relevant libraries

  • 5

    Explore the fundamentals of reinforcement learning and its practical applications

  • objective-image

    Ready to get started?

  • Prerequisites

    The eligibility requirements for this course are as follows:

    • Basic understanding of syntax, data structures, and functions
    • Ability to clean, preprocess and manipulate data to prepare it for analysis
    • Familiarity with popular Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn
    • Familiarity with popular machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, etc

    Overall ratings by our students

    Upcoming sessions

    Our Trainers

    We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in 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 Trainers

    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.

    Certifcate-Image0

    Learners Point Certificate

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

    Certifcate-Image1

    Related courses

    Curriculum

    • Basic understanding of syntax, data structures, and functions.
    • Ability to clean, preprocess and manipulate data to prepare it for analysis.
    • Familiarity with popular Python libraries like NumPy, Pandas, Matplotlib, and Scikit-learn.
    • Familiarity with popular machine learning algorithms like Linear Regression, Logistic Regression, Decision Trees, etc.
    • Unsupervised Machine Learning
    • Deep Belief Networks (DBNs)

    • Feature Selection and Extraction
    • Stacked Denoising Auto-encoders
    • Convolutional Neural Networks
    • Semi-Supervised Learning
    • Text Feature Extraction
    • Improving Machine Learning Results
    • Ensemble Methods

    Frequently asked questions

    Advanced Machine Learning with Python Course is a globally recognised qualification that provides individuals or professionals in Dubai with advanced proficiency in implementing machine learning techniques using Python. It benefits individuals who wish to build or advance their careers in the machine learning domain. Some of these benefits are:

    1. Master advanced machine learning algorithms
    2. Optimize models for better accuracy
    3. Understand deep learning frameworks
    4. Develop skills in natural language processing (NLP)
    5. Gain expertise in computer vision
    6. Work with large datasets
    7. Build end-to-end machine learning pipelines

    Advanced Machine Learning with Python Course is ideal for those who want to take their knowledge and skills to the next level. It is best suited for individuals with a strong background in Machine Learning and some experience programming in Python.

    There are several key topics related to machine learning covered in our Advanced Machine Learning with Python Course. These topics are taught by our expert instructors through hands-on training sessions across 9 specific modules. They are as follows:

    1. Advanced Machine Learning Concepts
    2. Supervised and Unsupervised Learning
    3. Ensemble Methods: Bagging, Boosting, and Stacking
    4. Support Vector Machines (SVM) and Kernel Methods
    5. Dimensionality Reduction Techniques: PCA, LDA and t-SNE
    6. Reinforcement Learning and Markov Decision Processes
    7. Deep Learning Fundamentals with TensorFlow and PyTorch
    8. Building Neural Networks for Advanced Tasks

    Machine Learning is a rapidly growing field that offers many career opportunities for those with the right skills and experience. It is considered to be one of the most in-demand skills for the future, and the number of job openings in the field is expected to grow significantly in the coming years. This makes Advanced Machine Learning with Python Course, good for individuals who wants their career to prosper in this domain.

    Python is a popular programming language for Machine Learning because it has a large ecosystem of powerful libraries and frameworks that make it easy to implement Machine Learning algorithms and models. Many Machine Learning practitioners and researchers use Python as their primary programming language. Thus professionals with Python programming skills are in strong demand in the Machine Learning field.

    Dubai is investing heavily in technology and automation, which has increased the demand for Machine Learning engineers in various sectors. Furthermore, the Dubai government has announced plans to turn it into a smart city, which will boost the use of AI and Machine Learning in the public sector. Hence, individuals certified in our Advanced Machine Learning with Python Course is in great demand.

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

    • Afghanistan+93
    • Albania+355
    • Algeria+213
    • Andorra+376
    • Angola+244
    • Antigua and Barbuda+1268
    • Argentina+54
    • Armenia+374
    • Aruba+297
    • Australia+61
    • Austria+43
    • Azerbaijan+994
    • Bahamas+1242
    • Bahrain+973
    • Bangladesh+880
    • Barbados+1246
    • Belarus+375
    • Belgium+32
    • Belize+501
    • Benin+229
    • Bhutan+975
    • Bolivia+591
    • Bosnia and Herzegovina+387
    • Botswana+267
    • Brazil+55
    • British Indian Ocean Territory+246
    • Brunei+673
    • Bulgaria+359
    • Burkina Faso+226
    • Burundi+257
    • Cambodia+855
    • Cameroon+237
    • Canada+1
    • Cape Verde+238
    • Caribbean Netherlands+599
    • Cayman Islands+1
    • Central African Republic+236
    • Chad+235
    • Chile+56
    • China+86
    • Colombia+57
    • Comoros+269
    • Congo+243
    • Congo+242
    • Costa Rica+506
    • Côte d'Ivoire+225
    • Croatia+385
    • Cuba+53
    • Curaçao+599
    • Cyprus+357
    • Czech Republic+420
    • Denmark+45
    • Djibouti+253
    • Dominica+1767
    • Dominican Republic+1
    • Ecuador+593
    • Egypt+20
    • El Salvador+503
    • Equatorial Guinea+240
    • Eritrea+291
    • Estonia+372
    • Ethiopia+251
    • Fiji+679
    • Finland+358
    • France+33
    • French Guiana+594
    • French Polynesia+689
    • Gabon+241
    • Gambia+220
    • Georgia+995
    • Germany+49
    • Ghana+233
    • Greece+30
    • Greenland+299
    • Grenada+1473
    • Guadeloupe+590
    • Guam+1671
    • Guatemala+502
    • Guinea+224
    • Guinea-Bissau+245
    • Guyana+592
    • Haiti+509
    • Honduras+504
    • Hong Kong+852
    • Hungary+36
    • Iceland+354
    • India+91
    • Indonesia+62
    • Iran+98
    • Iraq+964
    • Ireland+353
    • Israel+972
    • Italy+39
    • Jamaica+1876
    • Japan+81
    • Jordan+962
    • Kazakhstan+7
    • Kenya+254
    • Kiribati+686
    • Kosovo+383
    • Kuwait+965
    • Kyrgyzstan+996
    • Laos+856
    • Latvia+371
    • Lebanon+961
    • Lesotho+266
    • Liberia+231
    • Libya+218
    • Liechtenstein+423
    • Lithuania+370
    • Luxembourg+352
    • Macau+853
    • Macedonia+389
    • Madagascar+261
    • Malawi+265
    • Malaysia+60
    • Maldives+960
    • Mali+223
    • Malta+356
    • Marshall Islands+692
    • Martinique+596
    • Mauritania+222
    • Mauritius+230
    • Mexico+52
    • Micronesia+691
    • Moldova+373
    • Monaco+377
    • Mongolia+976
    • Montenegro+382
    • Morocco+212
    • Mozambique+258
    • Myanmar+95
    • Namibia+264
    • Nauru+674
    • Nepal+977
    • Netherlands+31
    • New Caledonia+687
    • New Zealand+64
    • Nicaragua+505
    • Niger+227
    • Nigeria+234
    • North Korea+850
    • Norway+47
    • Oman+968
    • Pakistan+92
    • Palau+680
    • Palestine+970
    • Panama+507
    • Papua New Guinea+675
    • Paraguay+595
    • Peru+51
    • Philippines+63
    • Poland+48
    • Portugal+351
    • Puerto Rico+1
    • Qatar+974
    • Réunion+262
    • Romania+40
    • Russia+7
    • Rwanda+250
    • Saint Kitts and Nevis+1869
    • Saint Lucia+1758
    • Saint Vincent and the Grenadines+1784
    • Samoa+685
    • San Marino+378
    • São Tomé and Príncipe+239
    • Saudi Arabia+966
    • Senegal+221
    • Serbia+381
    • Seychelles+248
    • Sierra Leone+232
    • Singapore+65
    • Slovakia+421
    • Slovenia+386
    • Solomon Islands+677
    • Somalia+252
    • South Africa+27
    • South Korea+82
    • South Sudan+211
    • Spain+34
    • Sri Lanka+94
    • Sudan+249
    • Suriname+597
    • Swaziland+268
    • Sweden+46
    • Switzerland+41
    • Syria+963
    • Taiwan+886
    • Tajikistan+992
    • Tanzania+255
    • Thailand+66
    • Timor-Leste+670
    • Togo+228
    • Tonga+676
    • Trinidad and Tobago+1868
    • Tunisia+216
    • Turkey+90
    • Turkmenistan+993
    • Tuvalu+688
    • Uganda+256
    • Ukraine+380
    • United Arab Emirates+971
    • United Kingdom+44
    • United States+1
    • Uruguay+598
    • Uzbekistan+998
    • Vanuatu+678
    • Vatican City+39
    • Venezuela+58
    • Vietnam+84
    • Yemen+967
    • Zambia+260
    • Zimbabwe+263

    Learn now, pay later

    Dive into your course now and pay in installments