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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.

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Machine Learning with Python: The Ultimate Tutorial
Prerequisites and Eligibility
  • The learners should have basic knowledge of Python programming language
  • Familiarity with data analysis and visualization is an added advantage
Prerequisites image
What You Will Learn
1
Learn about the various libraries

Learn about the various libraries offered by Python to manipulate, preprocess, and visualize data.

2
Learn Machine Learning with Python

Learn Machine Learning with Python, including Supervised and Unsupervised Machine Learning.

3
Learn to use optimization techniques

Learn to use optimization techniques to find the minimum error in your Machine Learning model.

4
Learn hands-on how to work on K-means

Learn hands-on how to work on K-means Clustering and Hierarchical Clustering.

5
Learn to use multiple learning algorithms

Learn to use multiple learning algorithms to obtain better predictive performance

6
Understand Neural Network

Understand Neural Network and apply them to classify image and perform sentiment analysis.

Why choose upGrad KnowledgeHut

The upGrad 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 with recall quizzes, interactive eBooks, case studies 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

1. Statistical Learning 

Learning objectives:

Get acquainted with Linear Aggression and its application


Topics

  • Linear Regression
  • Regularization
  • Logistic Regression
  • Gradient Descent

2. Supervised Machine Learning 

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

3. Unsupervised Machine Learning and Rule Mining

Learning objectives:

Learn Cluster Algorithms and their effective implementation.

Topics

  • Clustering Algorithms
  • Association Rule Mining
Frequently Asked Questions

FAQs

1. Will there be any other learning material other than self-paced videos?

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.

2. Can I pursue this course along with my full-time job?

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.

3. Will I earn a certificate on completion of this course?

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.

4. Can I cancel my enrolment? Do I get a refund?

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

Course Comparison

How Our Course Compares
YouTube VideosOnline CoursesupGrad KnowledgeHut
On-Demand Videos
Immersive Learning Experience
Structured Curriculum
Course Curated by Industry Experts
Auto-Graded Assessments
Real-World Projects
Lifetime Access to Courseware