Machine Learning using Python Certification Training

Machine Learning using Python Certification Training in Charlotte, NC

Get certified in Machine Learning using Python and transform your career
Course is designed for all those who are interested in learning Machine Learning techniques in data science domain and write intelligent applications using Python.
Start learning Machine Learning using Python from the comfort of your home and get certified at the end of course
Curated by Data Science industry experts, the course covers in-depth knowledge on Machine Learning using Python ecosystem
We guarantee great learning experience at the lowest price in the industry

Machine Learning using Python Course Overview

Encertify’s Machine Learning using Python course helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

This course is designed to make you grab the concepts of Machine Learning. Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in the python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in the python programming language to enhance your learning experience.

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Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.

After completing this Machine Learning Certification Training using Python, you should be able to:

Gain insight into the 'Roles' played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in future, living the present

This Python Machine Learning Certification Course is a good fit for the below professionals:

Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

The pre-requisites for the Machine Learning Certification Training using Python includes development experience with Python. Fundamentals of Data Analysis practised over any of the data analysis tools like SAS/R will be a plus. However, Python would be more advantageous. You will be provided with complimentary “Python Statistics for Data Science Course” as a self-paced course once you enrol for the course.

Machine Learning using Python Course Topics

What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science
Introduction to Python

Data Analysis Pipeline
What is Data Extraction
Types of Data
Raw and Processed Data
Data Wrangling
Exploratory Data Analysis
Visualization of Data

Python Revision (numpy, Pandas, scikit learn, matplotlib)
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
Gradient descent

What is Classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA

What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is Support Vector Machine?
Illustrate how Support Vector Machine works?
Hyperparameter optimization
Grid Search vs Random Search
Implementation of Support Vector Machine for Classification

What is Clustering & its Use Cases?
What is K-means Clustering?
How K-means algorithm works?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How Hierarchical Clustering works?

What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How Recommendation Engines work?
Collaborative Filtering
Content Based Filtering

What is Reinforcement Learning
Why Reinforcement Learning
Elements of Reinforcement Learning
Exploration vs Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
α values

What is Time Series Analysis?
Importance of TSA
Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity
ACF & PACF

What is Model Selection?
Need of Model Selection
Cross – Validation
What is Boosting?
How Boosting Algorithms work?
Types of Boosting Algorithms
Adaptive Boosting

Goal: In this module, you will learn how to approach and implement a Project end to end, and a Subject Matter Expert will share his experience and insights from the industry to help you kickstart your career in this domain. Finally, we will be having a Q&A and doubt clearing session.

Objectives: At the end of this module, you should be able to:

How to approach a project
Hands-On project implementation
What Industry expects
Industry insights for the Machine Learning domain
QA and Doubt Clearing Session

Why choose our Machine Learning using Python in Charlotte, NC?

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported, no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Machine Learning using Python Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com to find out more about our group discount offerings.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to support@encertify.com to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email support@encertify.com to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained through our programs

Machine Learning using Python Certification Training in Charlotte, NC

Charlotte, North Carolina – Capture Growth in a Financial & Tech Powerhouse

Charlotte is a major U.S. financial hub (banking, fintech) and is diversifying heavily into technology, energy, logistics, and healthcare. With major firms locating innovation centers and fintech operations there, the city has become a hotbed for digital transformation.

Certified skills in Project Management, Agile / Scrum, Cloud, DevOps, AI / Data Science & BI, and Quality Management are increasingly valued. Financial institutions are adopting cloud, AI analytics, and automation; logistics firms are optimizing supply chains with data; healthcare systems are migrating to digital platforms. Roles for certified professionals include cloud engineers, data analysts, project leads, DevOps engineers, and process improvement experts.

In Charlotte’s dynamic market, certification gives you the credibility to lead digital initiatives across sectors. Whether you aim to climb within finance, tech, or adjacent industries, your credentialed expertise will make you an attractive candidate for high-impact, well‑rewarded roles.

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