Overview of Course

Our Machine Learning with Python Training is a comprehensive course designed for beginners to advanced level learners. The course provides an in-depth understanding of the various machine learning algorithms and their applications in real-life scenarios. With this course, you can master the art of using Python for machine learning.

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Course Highlights

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Understand machine learning concepts and algorithms

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Learn Python programming for data analysis and manipulation

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Get hands-on experience with real-world projects and exercises<br /><br />

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


Machine learning concepts and algorithms


Python programming for data analysis and manipulation


Data preprocessing and data cleaning techniques


Supervised and unsupervised learning algorithms


Predictive modeling and evaluation techniques

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  • Option Item Custom Curriculum
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  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes

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Course Reviews


  • Environment Setup
  • Python Variable
  • Python Operator
  • Python Decision
  • Control Statement
  • Python Function & Module
  • Python Strings
  • Python File handling
  • Data Structure

  • Introduction
  • Getting Started with Anaconda and Jupyter
  • Python for Data Analysis  - Numpy
  • Python for Data Analysis - Pandas
  • Python for Data Visualization - Matplotlib
  • Python for Data Visualization - Seaborn
  • Train Your Machine - Scikit-Learn

  • Linear Regression
  • Logistic Regression
  • Gradient Descent
  • Cost and Loss
  • Bias and Variance
  • Data Prepossessing : Label Encoder , Standard Scalar

  • k-Nearest Neighbors (AI Concept and Implementation )
  • Support Vector Machine (AI Concept and Implementation)
  • Decision Tree (AI Concept and Implementation )
  • Random Forest (AI Concept and Implementation )
  • Cross Validation
  • Hyper Parameter Tuning
  • Over Fitting and Under-fitting

  • K-MEAN Clustering (AI Concept and Implementation)
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Target Audience:

  • Data Scientists
  • Software Developers
  • Analytics Professionals
  • Anyone interested in Machine Learning
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  • Basic understanding of programming concepts
  • Familiarity with Python programming language
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Benefits of the course:

  • Gain expertise in machine learning algorithms and techniques
  • Enhance your skills in data analysis and data manipulation
  • Work on real-world projects to gain practical exposure
  • Learn from industry experts with years of experience in the field
  • Get a certificate upon completion of the course
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Exam details to pass the course:

  • There is no specific exam to pass the Machine Learning with Python Training course.
  • Learners will receive a certificate upon completion of the course, which will be based on their performance in the project work and assignments.
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Certification path:

  • The Machine Learning with Python Training course does not require any specific certification to learn the course.
  • However, learners can opt for various certification exams like AWS Certified Machine Learning Specialty or Google Cloud Professional Machine Learning Engineer certification to demonstrate their expertise in the field.
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Career options after doing the course:

  • Machine Learning Engineer
  • Data Scientist
  • Data Analyst
  • Software Developer
  • Business Analyst

Why should you take this course from Skillzcafe:


Why should you take this course from Skillzcafe:

  • Bullet Icon Comprehensive course designed by industry experts
  • Bullet Icon Hands-on experience with real-world projects and exercises
  • Bullet Icon Learn from the comfort of your home with our online training program
  • Bullet Icon Affordable pricing and flexible learning options
  • Bullet Icon Get a certificate upon completion of the course


Learners should have a basic understanding of programming concepts and familiarity with Python programming language.

You will work on various real-world projects related to machine learning algorithms and techniques to gain practical exposure.

You will need to install Python and some Python libraries like Pandas, NumPy, Scikit-learn, and TensorFlow to complete the course exercises and projects.

You will have access to online support from industry experts and course instructors to help you with your queries and doubts.

Yes, you will receive a certificate upon completion of the Machine Learning with Python Training course, based on your performance in the project work and assignments.

Yes, you will have lifetime access to the course material, including the recorded lectures, project work, and assignments.

After completing the course, you can pursue career opportunities like Machine Learning Engineer, Data Scientist, Data Analyst, Software Developer, and Business Analyst.

Yes, you can switch to a different batch if you miss a class, subject to availability.

The Machine Learning with Python Training course is 54 hours long.

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