Python for Machine Learning

Last Update 18 May 2025
6 already enrolled

About This Course

This course includes:

  • Access 16 Hours of Hands on Recorded Live Class Videos
  • Access 16 related pre-recoded video will be provided.
  • All PowerPoint (PPT) Modules Will Be Provided
  • Relevant Datasets, Books, and Websites Will Be Shared for Practice
  • Upon completing the course, ongoing training will prepare you for job readiness and marketplace success.
  • Total 6 Practice Exams Will Be Conducted for Evaluation.
  • 4 life projects will be provided you with authentic real-world work experiences.
  • Training for Freelancing and Earning Money in the Field of Data Analytics
  • World-class internship certification from Singapore.
  • Course completion certificate from KSI Data Research.

What you’ll learn:

  • Life Classes: Learn Everything Through Hands-On Experience!
  • Master the Essential Skills to Become a Job-Ready Data Scientist!
  • Become a Job-Ready Data Scientists by Learning All the Skills You will Need!
  • Learn Python code and ML models for various types of prediction
  • Understanding and leaning Neural Network and deep learning
  • Build professional-quality business related ML model from the ground up
  • Combine and process raw data analysis to prepare it for machine learning.
  • Showcase your skills with two full-scale course projects (with step-by-step solutions)
  • Explore powerful artificial intelligence tools and advanced data analysis & visualization techniques
  • Learn from a #1 best-selling instructor and professional Power BI developer

Download Course Outline

Learning Objectives

Jupyter Notebook and Lab
Basic Python for Machine Learning
Numpy and Pandas Library
Matplotlib and Seaborn Library
Machine learning and different Models

Curriculum

88 Lessons

Section 01: Download Python Jupyter lab IDE from Anaconda tool and Basic python code for Machine learning.

Overview of Python: Definition and history.
Unique features of Python and its advantages
Installing Python and setting up the development environment (IDE)
Writing and running your first Python program
Understanding Python identifiers, keywords, and naming conventions
Introduction to comments, documentation, and indentation in Python
Variables and Python data types, including dynamic typing
Type conversion, casting, and variable swapping
Basic input/output functions: Receiving input and printing output
Control structures: Arithmetic, logical, and comparison operators; if statements; loops (for and while, including break and continue)

Section 02: Strings and lists, Dictionaries and Tuples, Functions, Object-Oriented Programming (OOP)

Section 03: Key concepts and functions of NumPy important for machine learning and AI

Section 04: Concepts and features of the Pandas library that are crucial for machine learning and AI

Section 05: Understanding Matplotlib library that are essential for data visualization in machine learning and AI

Section 06: Understanding Seaborn library that are essential for data visualization in machine learning and AI

Section 07: Introduction to Machine learning with few resources

Section 08: Topics to understand Linear Regression

Section 09: Applying linear regression to a real-world project

Section 10: Binary classification logistic Regression for Machine learning.

Section 11: Decision Trees and Random Forests, Gradient Boosting

Section 12: Deep Learning Models (Neural Networks)

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Your Instructors

Khondaker R Islam

4.95/5
3 Courses
21 Reviews
64 Students

Mr. Khondaker R Islam, a Microsoft-certified data science instructor with over 20 years of extensive experience in top-ranked pharmaceutical companies across the USA and Canada. With a distinguished background as a scientist and advisor in research and development, Mr. Islam has made significant contributions to numerous patents and drug discoveries, solidifying his reputation as a leading expert in the field.

Throughout his illustrious career, Mr. Islam has not only excelled in research and development but has also showcased his versatility by serving as a database administrator, software testing expert, and data analytics trainer. His expertise extends beyond theoretical knowledge, as he emphasizes real-world applications and industry-relevant curriculum design to empower learners and students for successful employment opportunities.

Currently serving as the President and CEO of KSI Data Research, Mr. Islam continues to drive innovation and excellence in the field of data science. Prior to this role, he held positions at esteemed organizations such as California Inc, Sallie Mae, Pfizer, WR Grace Com. Purdue Pharma, and Pharmacopeia Inc., among others. His tenure at these world-renowned companies speaks volumes about his exceptional skills and contributions to the industry.

Mr. Islam's academic journey is equally impressive, with degrees from prestigious institutions including the University of Notre Dame, Dhaka University, and Howard University. Additionally, he holds certifications from CBC, Canada in Database Diploma and is recognized as an Oracle and 
With his wealth of knowledge, hands-on experience, and commitment to excellence, Mr. Khondaker R Islam continues to be a driving force in the field of data science, shaping industry solutions and empowering the next generation of professionals

As the President and CEO of KSI Data Research,  thrilled to welcome you to our dynamic digital space. At KSI, we believe in the transformative power of knowledge and technology, and it is our mission to unlock limitless possibilities for individuals and businesses worldwide.

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