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Machine Learning Classification Projects using Python

Name: Machine Learning Classification Projects using Python
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Accelerate your Career

Learn machine learning classification with Python. Build real-world projects using scikit-learn, data preprocessing, model evaluation, and deployment.

Buy this Course @

₹1,499

4 Modules

with Certifications

4:20 Hours

of Recorded Content

0 Ratings

by 0 Learners

English

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Paid Course

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Name

Email ID

Phone Number

1500 enrolled in this course

Course Specifications

Sections

Lessons

Capacity

Unlimited

Duration

4:20 Hours

Students

720

Access Duration

90 Days

Created Date

2 Jun 2026

Updated Date

4 Jun 2026

About Courses Certificate Benefits Requirements Testimony Bonuses FAQs

Machine Learning Classification Projects using Python Course
Overview

This Explorer-level course focuses on developing practical machine learning solutions through real-world classification projects. Learners will understand the complete machine learning workflow, including data preparation, model training, testing, and performance evaluation. The curriculum features diverse applications such as rainfall prediction, loan status prediction, Titanic survival analysis, credit card fraud detection, heart disease prediction, diabetes prediction, breast cancer detection, wine quality prediction, fake news detection, and sentiment analysis. Through hands-on implementation of classification models, participants will strengthen their understanding of supervised learning techniques and predictive analytics. The course is designed to help learners transition from foundational concepts to solving industry-relevant business and healthcare challenges using machine learning

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

Machine Learning Classification Projects using Python Course Roadmap

Module 1

Module 1 — Machine Learning Workflow

Train Test Model

Module 2

Module 2 — Classification Projects

Rain Fall Prediction

Loan Status Prediction

Titanic Survival Prediction

Credit Card Fraud Detection

Module 3

Module 3 — Healthcare Prediction Projects

Heart Disease Prediction

Diabetic Prediction using machine Learning

Breast Cancer Predication

Module 4

Module 4 — Applied Classification Projects

Wine Quality Prediction

Sentiment Analysis

Fake News Detection

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 courses. Advanced modules 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 / +91 89255 334 89.

3. What will I learn in this course?

You’ll cover machine learning classification with Python, including data preprocessing, feature engineering, model building with scikit‑learn, evaluation metrics (accuracy, precision, recall, F1‑score), and deployment strategies. You’ll gain hands‑on experience by building real‑world classification projects such as spam detection, sentiment analysis, and medical diagnosis systems.

4. How long is the course?

The program includes 4 structured modules, designed to be completed within 90 days with guided project work.

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 Machine Learning Classification Projects using Python course is available for ₹1,499, inclusive of all modules and certification.

7. Is there any project work included?

Yes, you’ll apply your skills in guided classification projects, such as text classification, image recognition, and predictive analytics.

8. Can I access the course materials anytime?

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