Machine Learning using Python training certification

Machine Learning using Python

Harnessing Machine Learning with Python

Empower Data Insights with Python

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Overview

Machine Learning using Python Certification training

Machine Learning using Python introduces participants to the fundamentals of applying machine learning techniques with Python programming. This course covers essential concepts such as data pre-processing, model training, evaluation, and deployment. Participants learn to implement various machine learning algorithms, including supervised and unsupervised learning, using popular Python libraries like scikit-learn and TensorFlow. By the end of the course, learners will have practical skills in building and evaluating machine learning models, enabling them to extract valuable insights from data and solve real-world problems efficiently using Python.

Industry Demand

Unlock Opportunities: Over Machine Learning using Python Jobs Available by 2030!

Machine Learning using Python

Machine Learning using Python skills are in high demand across industries due to their applications in data analysis, predictive modeling, and automation. Professionals proficient in Machine Learning using Python are sought after for roles involving data-driven decision-making, pattern recognition, and algorithm development. Industries such as technology, finance, healthcare, and e-commerce actively seek these skills to enhance operational efficiencies and customer insights.

Salaries for professionals skilled in Machine Learning using Python vary widely based on experience and location. Entry-level positions typically offer salaries starting around $80,000 per year, while experienced professionals with advanced skills and expertise can command salaries exceeding $120,000 annually, especially in tech hubs and industries requiring complex machine learning solutions.

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Learning formats, including online courses, workshops.

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Hands-On Experience

Our courses include practical labs, real-world projects etc.

High Success Rates

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Machine Learning using Python COURSE PRICING

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Self-Paced Learning

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WHAT YOU’LL LEARN IN THIS training

Learning Objectives

Explore unsupervised learning techniques for clustering and dimensionality reduction.

Utilize Python libraries such as scikit-learn and TensorFlow for machine learning tasks.

Deploy machine learning models with Azure Machine Learning.

Evaluate and optimize machine learning models for performance.

Gain practical experience in building end-to-end machine learning pipelines.

PREREQUISITES FOR this CERTIFICATION TRAINING

Prerequisites and Eligibility

Basic programming skills, preferably in Python
Understanding of fundamental mathematical concepts such as linear algebra and calculus
Familiarity with statistics and probability theory

WHO SHOULD ATTEND THiss COURSE ONLINE

Who This Course Is For?

Data Analysts
Software Developers
Engineers
Statisticians

Researchers
IT Professionals
Anyone interested in machine learning

COURSE SYLLABUS

Curriculum

Module 1: Introduction to Machine Learning

What is Machine Learning
Use cases of Machine Learning
Types of Data
Role of Machine Learning Engineer
Different types of Machine Learning

Environment Setup of anaconda Introduction to python programming

Python Data Structures
Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Python Packages
Overview of OOP Terminology

Module 2: Python for Data Science

Working with NumPy
Working with Pandas
Introduction to Data Visualization
Introduction to Matplotlib and Seaborn
Basic Plotting with Matplotlib and Seaborn
Working with Scikit-Learn

Module 3: Data Wrangling Techniques

Introduction to Data pre-processing
Importing the dataset
Handling Missing data
Working with categorical Data
Splitting the data in to Train and Test set
Feature Scaling

Module 4: Introduction to Supervised Machine Learning Introduction to Regression Algorithms

Linear Regression
Multiple Linear Regressions
Polynomial Regression

Module 5: Introduction to classification algorithms

Logistic Regression
K-Nearest Neighboring
Support Vector Machine
Naive-Bayes
Decision Tree Classification
Random Forest Classification

Module 6: Unsupervised Learning

K-Means Clustering

Module 7: Introduction to different modes of Deployments

Working with the Flask framework
Building an application with Flask Framework
Integrating Machine learning model with Web Application
Introduction to IBM Python Flask APP
Deploying Python Flask application on IBM Python

Module 8: Introduction to IBM Cloud Services

Introduction to IBM Cloud
Introduction to Watson Studio
Building Machine learning model in Watson Studio
Deploying Machine learning Models as web services

Module 9: Introduction to Auto AI

Building a Machine Learning Model Using Auto AI
Introduction to IBM Node-red
Integrating Machine Learning model to IBM Node-red
Building web application

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Machine Learning using Python CERTIFICATION FAQS

Frequently Asked Questions

Why should I pursue Machine Learning using Python?

Learning Machine Learning using Python equips you with the skills to build and deploy machine learning models effectively. Python's simplicity, extensive libraries, and active community make it an ideal language for implementing machine learning algorithms and handling data analysis tasks.

Who should take a Machine Learning using Python course?

This course is suitable for aspiring Data Scientists, Machine Learning Engineers, Software Developers, and anyone interested in gaining practical skills in machine learning. It is also ideal for professionals looking to enhance their knowledge in data analysis, artificial intelligence, and predictive modeling.

How can I prepare for a Machine Learning using Python course?

Preparation involves having a basic understanding of Python programming and fundamental concepts in statistics and linear algebra. Familiarize yourself with Python libraries like NumPy, pandas, Matplotlib, and scikit-learn, and practice solving simple data analysis problems.

What are the benefits of learning Machine Learning using Python?

Mastering machine learning using Python enhances your ability to analyze data, make predictions, and build intelligent systems. It opens up career opportunities in data science, AI development, and analytics, and enables you to contribute to various domains like finance, healthcare, marketing, and more.