Machine Learning

Go Zero-One by learning the much-needed fundamentals of “Machine Learning". In this course, you will learn " Dimensionality Reduction Techniques, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation Metrics".

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Flexible Learning

Learn at your own pace and reach your personal goals on the schedule that works best for you.

Real-world Projects

You’ll master the in-demand technologies by building real-world projects.

Live Mentor Workshops

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Verifiable Certificate

Upon successful completion of the Course, You will receive a Verifiable certificate with QR code.

Quiz & Mock Tests

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Assured Internship

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Machine Learning

Go Zero-One by learning the much-needed fundamentals of “Machine Learning". In this course, you will learn " Dimensionality Reduction Techniques, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation Metrics".

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Includes:
  • Verifiable certificate
  • Quiz & mock tests
  • Live mentor workshops
  • 2 devices access*
Course Description

Become a Machine Learning Specialist.

Machine learning is the fuel we need to power robots, alongside AI. Not only robots, machine learning is being used in various fields be it in finance, music generation, real estate, communication, and whatnot. It has become one of the biggest job prospects of the 21st century. With ML, we can power programs that can be easily updated and modified to adapt to new environments and tasks - to get things done quickly and efficiently. Why not be part of this technological revolution by being part of it. Troubled on how to begin? Don’t worry as we, bring to you an amazing career path course on “Machine Learning” which will take you on an amazing journey and help you to learn Machine Learning with best-in-class content covering all topics starting from Python, Statistics, Mathematics for Machine Learning, and much more. Come join us and be a part of the 21st century’s data revolution.

What you will learn?
  • Basic Data Manipulation
  • Handling Numerical Data
  • Handling Categorical Data
  • Handling Dates and Times
  • Linear Principal Component Analysis
  • Kernel Principal Component Analysis
  • Thresholding Numerical Feature Variance
  • Handling Highly Correlated Features
  • Basics of Supervised Learning
  • k-Nearest Neighbors
  • Linear Model
  • Decision Tree and Random Forest
  • Kernelized Support Vector Machines
  • Basics Of Unsupervised Learning
  • Dimensionality Reduction
  • Clustering
  • Classification Metrics
  • Regression Metrics
  • K-Fold Cross Validation
  • Selecting Best Model Using Exhaustive Search
  • Selecting Best Model Using Randomized Search
  • Selecting Best Model From Multiple Learning Algorithms
  • Selecting Best Model When Preprocessing
Requirements
  • No Prerequisites Required
Course Curriculum
Basic Data Manipulation
12 Lessons
  • Lets start with Creating DataFrame
  • Describing the Data
  • Navigating the Dataframe
  • Selecting Rows Based On Conditionals
  • Replacing Values
  • Renaming Columns
  • Finding the Minimum,Maximum,Sum,Average.Count,Kurtosis and Skewness
  • Finding Unique Values
  • Deleting Columns And Rows
  • Looping And Applying Function Over a Column
  • Concatenating or Merging Data Frames
  • Grouping Rows By Values
  • Basic Numerical Feature Processing
  • Binning Features
  • Detecting and Handling Outliers
  • Scaling Feature and Handling Missing Values
  • Converting String To Dates
  • Date Based Features
  • Time Based Feature
  • Categorical Encoding and Its Need
  • Encoding Categorical Features
  • Frequency Encoding
  • Linear Principal Component Analysis
  • Kernel Principal Component Analysis
  • Thresholding Numerical Feature Variance
  • Handeling Highly Correlated Features
  • Automatic Feature Selection

Get Certified! Get Recognized…

Upon successful completion of the Course, You will receive a Verifiable certificate with QR code. Now employers can verify the certificates just by scanning QR code or by verification ID.

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Learn

Learn in-demand technology skills through immersive content.

Practice

Practice the tech skills and build real-world projects for your portfolio.

Apply

Apply your knowledge in hackathons to grab internships and placements.

Assess

Assess your knowledge with quiz's, mock tests and interviews.

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I was searching for a platform to learn AI/ML course and I came across this SkillLauncher. Their support was awesome from the day of enrollment.

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