Machine Learning with Python

In recent years, Python has become most preferred language for Data Science and considered as powerful and flexible platform for building Machine Learning systems.

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Course Objectives

  • Introduction to Python for Machine Learning
  • Machine Learning algorithm overview
  • Hands-on coding of popular ML algorithms with Python
  • Building Machine Learning applications with Python package Scikit-Learn
  • Assess the knowledge through the International Association of Business Analytics (IABAC™) framework

Course Module

  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data

  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis

  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks

  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data

  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application

  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model

  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance
Program
Dates

Certification (LP Certificate)

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Certification (KHDA)

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Expert Instructors & Teaching Methods

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Our Trainer

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world. 

 

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Our Trainer

Learners Experience

Frequently Asked Questions

Our trainings are mostly instructor led and classroom based. However, we also offer high quality live and interactive online sessions.

Our highly skilled faculties from around the globe are experts in their fields and come with decades of diverse industry experience. Our trainers are internationally recognized and locally preferred with rich research driven experience which will ensure highly customizable, engaging and top in the class learning experience.

Choosing LearnersPoint is true value for money as our trainings are right blend of theory and practice and specially developed keeping tomorrow's business needs in mind. All the training sessions are closely monitored through specially designed progress tracker to ensure reinforced and unparalleled learning experience.

Once you have registered for a course and wish to not to proceed with the training for any reason, you are entitled for a refund of the fees provided we are notified in writing within 2 days from the date of initial registration before the training commencement. The refunds are processed within 4 weeks from the day of withdrawal.