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Machine Learning with Python: The Ultimate Tutorial

Learn Python libraries for data, Supervised/Unsupervised ML, optimization, Regression/Classification, Clustering, multiple algorithms, and Neural Networks.

Bestseller 16,422+ Learners

Created By Ashish Gulati

  • Expert-Led On-Demand Videos

  • Immersive Learning Experience

  • Outcome Focus

  • Industry-Vetted Curriculum

  • Auto-Graded Assessments

  • Recall Quizzes

  • Real-Time Insights

    What You Will Learn

    • Learn about the various libraries offered by Python to manipulate, preprocess, and visualize data.
    • Learn Machine Learning with Python, including Supervised and Unsupervised Machine Learning.
    • Learn to use optimization techniques to find the minimum error in your Machine Learning model.
    • Learn hands-on how to work on K-means Clustering and Hierarchical Clustering.
    • Learn to use multiple learning algorithms to obtain better predictive performance.
    • Understand Neural Network and apply them to classify image and perform sentiment analysis.

    KnowledgeHut Edge

    Superior Outcomes

    Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform.

    Immersive Learning

    Go beyond just videos and learn hands-on with guided exercises, projects, assignments and more.

    World-Class Instructors

    Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM.

    Real-World Learning

    Get an intimate, insider look at leading companies in the field through real-world case studies.

    Industry-Vetted Curriculum

    Curriculum primed for industry relevance and developed with guidance from industry advisory boards.

    Continual Support

    Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills.

    Curriculum

    Learning objectives:

    Get acquainted with Linear Aggression and its application 

    Topics
    • Linear Regression 
    • Regularization 
    • Logistic Regression 
    • Gradient Descent 

    Learning objectives:

    Learn Machine Learning Fundamentals and gain an overview of Ensemble Learning. 

    Topics
    • Machine Learning Fundamentals 
    • Feature Engineering 
    • Decision Tree Algorithms 
    • Ensemble Learning: Bagging and RandomForest 
    • Boosting Models 
    • Naive Bayes Classifier 

    Learning objectives:

    Learn Cluster Algorithms and their effective implementation. 

    Topics
    • Clustering Algorithms 
    • Association Rule Mining 

    Prerequisites

    • The learners should have basic knowledge of Python programming language
    • Familiarity with data analysis and visualization is an added advantage

    What Our Learners Are Saying

    I never thought I'd come across such an insightful ML course in an on-demand format. This is apt for working professionals.

    V
    Vince Jerome

    Machine Learning Engineer

    The self-paced videos, projects, and handy assignments were really helpful in developing the in-demand ML with Python Skills.

    R
    Reena Pathak

    Software Engineer

    A well-structured ML course in terms of curriculum and learning resources. On-demand learning is a big bonus.

    C
    Clement Joseph

    Data Engineer

    The ML course curriculum is engaging. The on-demand format with self-paced videos and assignments makes it the best.

    A
    Amal Langdon

    Data Analyst

    I was able to strengthen my fundamentals in ML Algorithms while working my regular software engineer job.

    K
    Katherine Wilson

    Software Developer

    How Our Course Compares

    YouTube Videos Online Courses KnowledgeHut

    On-Demand Videos

    Immersive Learning Experience

    Structured Curriculum

    Course Curated by Industry Experts

    Auto-Graded Assessments

    Real-World Projects

    Lifetime Access to Courseware

    Course Advisor

    Ashish Gulati
    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

    Course Advisor

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

    Ashish Gulati
    Ashish Gulati

    Data Science Expert

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    Frequently Asked Questions

    Yes, you will experience KnowledgeHut's immersive learning in an on-demand format. This will include e-learning material to help you: 

    • LEARN with recall quizzes, interactive eBooks, and case studies 
    • ASSESS your skills progression with diagnostic, module-level, and final assessments
    • PRACTICE with real-world simulations and Cloud Labs 
    • GAIN INSIGHTS with real-time reports and analytics on how you're progressing, your learning challenges, and suggestions of sections to revisit to build competency in the required areas. 

    Yes, our online course is designed to give you flexibility to skill up as per your convenience. The course is delivered in a Self-Paced mode so that you can balance your work and learning as per your schedule. 

    Yes! Upon passing this course, you will receive a signed certificate of completion from KnowledgeHut. Thousands of KnowledgeHut alumni use their course certificate to demonstrate skills to employers and their networks.

    More than the certificate, however, you will get to showcase your newly acquired skills by working on real-world projects and adding these to your portfolio. KnowledgeHut’s courses are well-regarded by industry experts, who contribute to our curriculum and use our tech programs to train their own teams. 

    You can cancel your enrolment and receive refunds in line with our Cancellations and Refunds policy found at https://www.knowledgehut.com/refund-policy

    Please make sure that your computer meets the following software and system requirements: 

    • Software Requirements: Internet browser
    • System Requirements: Linux/Unix Operating System, an Internet browser, and high-speed Internet connectivity.

    Yes, it does. In the unlikely event that you are not satisfied with the course, and you wish to withdraw within the first seven days, we’ll issue a 100% refund. No questions asked!