Machine Learning with Python Certification


Machine Learning with Python Certification

  • Supervised & Unsupervised Learning, Regression & Classifications and more
  • Advanced ML algorithms like KNN, Decision Trees, SVM and Clustering
  • Build and deploy deep learning and data visualization models in a real-world project

  • Learn from anywhere in the world. Connect with an Instructor in real time.
  • Attend Live Class from a PC or Mobile.
  • Ask questions from an Instructor in real time over voice & chat.
  • Includes Certificate of Completion.
  • Official Exam & Certification Assitance.
  • Get 30 Days free after class support.

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Course Description

About the Course

In this four-week course, you will dive into the basics of machine learning using python; a well-known programming language. Get introduced to data exploration and discover the various machine learning approaches like supervised and unsupervised learning, regression, and classifications and more.

Practice exploring and visualising data using Python and built-in libraries like Pandas, Matplotlib and Scikit. Prepare yourself with sought-after Machine Learning with Python skills to add to your resume, such as regression, classification, clustering and sci-kit learn. Learn Machine Learning with Python and add new projects to your portfolio.

Course Curriculum

Course # : MLP-0037
Exam : Machine Learning with Python Certification

Machine Learning with Python Certification


  • Understand the fundamental concepts of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
  • Develop proficiency in Python programming for machine learning, including data manipulation, visualization, and model implementation using popular libraries such as NumPy, Pandas, and Scikit-learn.
  • Learn various machine learning algorithms, such as linear regression, logistic regression, decision trees, random forests, support vector machines, and k-nearest neighbors.
  • Gain knowledge of model evaluation techniques, including cross-validation, performance metrics (e.g., accuracy, precision, recall), and learning curves, to assess the performance of machine learning models.
  • Understand the concept of feature engineering and learn techniques to preprocess, transform, and select features for machine learning models.
  • Explore dimensionality reduction techniques, such as principal component analysis (PCA) and t-SNE, to handle high-dimensional data and improve model performance.
  • Gain hands-on experience with model training, tuning, and optimization to achieve the best possible performance from machine learning models.
  • Learn how to handle common challenges in machine learning, such as overfitting, underfitting, and dealing with imbalanced datasets.

Target Audience

  • Anyone interested in Machine Learning and using it to solve problems
  • Software or data engineers interested in quantitative analysis with Python
  • Data analysts, economists or researchers


  • Sufficient knowledge of at least one coding language is required.
  • Minimalistic and intuitive, Python is best-suited for Machine Learning training.

Why Machine Learning with Python Certification from SkillCertified™

  • Live Interactive Learning
    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
  • Lifetime Access
    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
  • 24x7 Support
    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
  • Hands-On Project Based Learning
    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
  • Industry Recognised Certification
    • SkillCertified Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion
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