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Applied Machine Learning and Predictive Analytics

Name: Applied Machine Learning and Predictive Analytics
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Accelerate your Career

Learn applied machine learning and predictive analytics. Build real-world models for forecasting, classification, and decision-making using Python.

Buy this Course @

₹2,499

3 Modules

with Certifications

4:55 Hours

of Recorded Content

0 Ratings

by 0 Learners

English

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Paid Course

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1500 enrolled in this course

Course Specifications

Sections

Lessons

158

Capacity

Unlimited

Duration

4:55 Hours

Students

780

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

4 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

Applied Machine Learning and Predictive Analytics Course
Overview

This Specialist-level course focuses on applying machine learning and predictive analytics techniques to solve complex real-world problems. Learners will work extensively with Scikit-learn and explore core machine learning concepts including classification, regression, clustering, and ensemble learning. The curriculum covers predictive analytics projects such as COVID-19 prediction, Parkinson’s disease detection, house price forecasting, customer segmentation, and home loan prediction. Participants will also gain exposure to spatial data science and advanced machine learning workflows for business intelligence applications. The course concludes with advanced AI applications including spam classification using natural language processing (NLP), handwritten digit recognition using convolutional neural networks (CNNs), and churn prediction using deep learning. By the end of the program, learners will possess the practical skills required to design and deploy intelligent predictive systems across multiple industries.

Key Features

Mentorship

Receive guidance and insights from industry experts

Hands-on Experience

Gain practical skills in a real-world cutting-edge projects.

Networking

Connect with professionals and peers in your field

Skill Development

Enhance your technical and soft skills

Career Advancement

Boost your resume with valuable experience

Dual Certificate

Get a certification to showcase your achievements

We are Accredited by

Our Awards & Achievements

Applied Machine Learning and Predictive Analytics Course Roadmap

Module 1

Module 1 — Machine Learning Foundations

Sci Kit Introduction - I

Sci Kit - Learn Example

Scikit Learn - Example - II

Stemming_and_lemmatization

Sentence Tokenization

Data Visualization Introduction

Data Visualization - Simple Plot

Module 2

Module 2 — Machine Learning Algorithms and Applications

Spatial data science Introduction

Covid Disease Prediction-I

Covid Disease Prediction-II

Ensemble Learning - I

Ensemble Techniques - II

Parkinson's Disease

Random Forest Regression- I

House price Prediction

K Means Clustering - I

K Means Segmentation

Customer Segmentation Implementation - I

Decision Tree Algorithm

Home Loan Prediction Implementation - I

Home Loan Prediction Implementation - II

Module 3

Module 3 — Advanced AI Applications

Spam Classification using NLP

Churn Prediction using Deep Learning

After this Course, You will be Able to

Grasp FPGA architecture and microcontroller workings for advanced understanding
Build circuits, ranging from basic LEDs to intricate, sensor-driven projects
Master the HDL IDE, enabling proficient coding for real-world applications
Utilize breadboards and electronic components with precision for efficient circuitry
Create groundbreaking solutions by integrating sensors and motors innovatively
Explore diverse projects, from basic LEDs to complex motion-activated systems

Where Our Students Work

Our alumni are driving innovation at the world's most prestigious technology companies.

Learners Reviews

Aditi Sharma

The step by step approach from basics to real time FPGA projects made the concepts crystal clear. I especially loved the UART implementation—it gave me confidence to handle hardware communication protocols.

Rahul

This course bridges the gap between theory and practice. Programming the MAX10 FPGA board and controlling GPIOs gave me the kind of exposure that’s directly useful for internships and entry level roles in VLSI design.

Priya Nair

I came in with only basic digital electronics knowledge. The way Verilog was introduced and gradually applied to sequential circuits and FSMs was perfect. By the end, I could write and test my own HDL codes on Quartus.

Still Having Doubts?

1. Do I need prior experience?

No prior experience is required for foundational modules. Advanced topics may recommend basic knowledge in programming or electronics.

2. What if I face technical issues?

You can reach our support team at training@pantechelearning.com or call +91 89255 334 88 / 89.

3. What will I learn in this course?

You’ll cover: Python foundations for machine learning Data preprocessing and feature engineering Classification, regression, and clustering algorithms Predictive analytics for forecasting and decision-making Real-world applications with hands-on projects

4. How long is the course?

The program includes 3 structured modules, designed to be completed at your own pace, typically within 90 days.

5. Will I get a certificate?

Yes, upon completion you’ll receive a verified certification from Pantech eLearning, which can be shared on LinkedIn and with employers.

6. What is the course fee?

The Applied Machine Learning and Predictive Analytics course is available for ₹2,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in a guided predictive analytics project, such as building forecasting models or classification systems, to reinforce concepts and demonstrate practical learning outcomes.

8. Can I access the course materials anytime?

Absolutely. Once enrolled, you’ll have lifetime access to the course videos, notes, and resources.