Python for Machine Learning (ML)

Md. Alimul Al Razi
admin
Last Update March 26, 2024
5.0 /5
(1)
1 already enrolled

About This Course

Python for Data Science and Machine Learning Certification Program

Python for Data Science and Machine Learning Certification Program, a comprehensive course designed to equip participants with the essential skills and knowledge to thrive in the rapidly evolving fields of data science and machine learning. This program combines theoretical understanding with hands-on projects, ensuring that participants gain practical experience and a deep understanding of Python’s applications in these domains.

Python stands as the universal language in the dynamic field of data, commanding a surge in demand for proficient professionals. Recent reports reveal an astounding increase of X% in job listings specifically seeking Python expertise for roles in data science and machine learning. What sets Python enthusiasts apart is not just the demand but the accompanying generous salaries that outstrip industry averages, making mastery of Python a lucrative investment in one’s career.

The unparalleled versatility of Python is evident across the entire spectrum of data science tasks. From manipulating and analyzing data to the intricate development of machine learning models, Python’s extensive library ecosystem, featuring powerhouses like Pandas, NumPy, and Scikit-Learn, cements its status as the language of choice for every facet of the data science pipeline.

Our program takes you through an immersive journey covering the breadth of machine learning techniques, from foundational supervised and unsupervised learning to advanced methodologies like ensemble learning and deep neural networks. This hands-on experience equips you to implement machine learning models that not only meet current standards but drive innovation in the field. Python Syntax, functions and Python-related libraries, statistics for Machine learning

Certification in Python for Data Science and Machine Learning is not just a validation; it’s a prestigious endorsement that resonates with employers. Beyond elevating marketability, certification opens doors to advanced roles and a substantial increase in earning potential.

In an era where remote work has become the norm, Python professionals hold a distinctive advantage. The language’s adaptability to virtual work environments ensures that Python enthusiasts can contribute to cutting-edge projects from any corner of the globe.

Our program doesn’t merely prepare you for today’s challenges; it positions you as a visionary for the future. Stay at the forefront of industry trends, including AI integration, natural language processing, and predictive analytics, ensuring that your Python skills remain not only relevant but pioneering in the ever-evolving
landscape of innovation

Learning Objectives

Python
Python Syntax
Functions
Python-libraries
Statistics
Machine learning

Material Includes

  • Yes Materials Included

Requirements

  • No Programming experience required.
  • A Laptop or Pc with access to the internet.

Target Audience

  • University Student
  • College Student
  • School Student

Curriculum

25 Lessons

Week # 01 Introduction to Python

Module #0100:00
Module #0200:00

Week # 02 String, List, set, dictionary & Tuples in Python

Week # 03 Function & OOP (Object oriented programming) in python

Week # 04 Data Science Using Python ( Numpy & Pandas)

Week # 05 Data Science Using Python ( Project-1)

Week # 06 Basic Statistics

Week # 07 Data visualization (Matplotlib and Seaborn libraries)

Week # 08 Data Analytics Using Python ( Project-2)

Week # 09 Introduction in Machine Learning

Week # 10 Feature Engineering

Week # 11 Supervise Machine Learning (Regression )

Week # 12 Supervise Machine Learning (Classification)

Week # 13 Unsupervised Machine Learning ( Clustering )

Week # 14 Principle component Analysis (PCA)

Your Instructors

Md. Alimul Al Razi

5.0/5
2 Courses
1 Review
1 Student
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admin

4.0/5
14 Courses
4 Reviews
103 Students
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