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Foundations of Machine Learning Using Python

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

2 Modules
with Certifications
9:25 Hours
of Recorded Content
5.0 Ratings
by 720 Learners
English
Language
Paid Course
Get this Course @ ₹799
720 enrolled in this course

Foundations of Machine Learning Using Python

Machine Learning using Python is an explorer-level course designed to help learners build practical predictive models and intelligent applications using one of the industry's most widely used programming languages. Starting with regression-based prediction systems and progressing through clustering, recommendation engines, deep learning applications, and model deployment, the course emphasizes project-based learning throughout. Participants will implement solutions for business forecasting, customer analytics, healthcare prediction, and AI-driven recommendation systems while understanding the complete machine learning workflow from data preparation to deployment.
MASTERING THE DATA SCIENCE LIFECYCLE

Comprehensive Syllabus Outline

A comprehensive curriculum designed to take you from beginner to professional.

M1

Module 1: Python Programming & Essentials for ML

Introduction
Python Basics
Python Data Structures
Class and Object
Python Programming Fundamentals

M2

Module 2: Data Preprocessing, Visualization & ML Models

Pandas Library
Sale Data Analysis using Pandas
Working with Numpy Arrays
Data visualization with matplotlib and Seaborn
Exploratory Data Analysis with Pandas, Matplotlib, Seaborn

Capstone Project

Retail Sales Insight Analyzer

Load raw sales records into Pandas, clean and explore them, and turn the findings into clear visual reports that prepare the data for machine learning.

PROJECT

Sales data analysis using Pandas.

Clean, aggregate and analyse real sales records to uncover business trends.

CONCEPT

Python data structures, classes and objects for ML code.

Write well-organised, reusable Python that scales into ML projects.

CONCEPT

Fast numerical computing with NumPy arrays.

Perform vectorised calculations on large datasets efficiently.

CONCEPT

Exploratory data analysis with Matplotlib and Seaborn.

Visualise distributions and relationships before building models.

CORE TOOLING MASTERY

Tech Stack

Master the primary professional software development packages and workflow tools.

Python
Pandas
NumPy
Matplotlib
Seaborn
Jupyter Notebooks
Career Impact

After this Course, You will be Able to

Observe the real-world utility outcomes you gain after program completion.

Write clean Python code using core syntax, data structures and functions.
Model real-world entities in code with classes and objects.
Load, clean and transform tabular data with Pandas.
Perform vectorised numerical operations with NumPy arrays.
Create insightful charts with Matplotlib and Seaborn.
Run end-to-end exploratory data analysis on a real sales dataset.

Course Stats

₹12.35 LPA

Average Salary

₹42 LPA

Highest Salary

135%

Salary Hike

7+ Companies

Hiring Partners

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
DIGITAL VERIFIABLE CREDENTIAL

Let Your Certificates Speak For You

Our certification formally validates your skill set in recruiter searches with unique QR code verification and LinkedIn-ready structures.

Unique Credential ID & QR Code
Recruiters can scan to instantly verify your project files, source repository, and official completion marks.

Linkedin Certified Recognition
Easily push to your Linkedin profile with 1-click credential linking to increase high-end corporate recruiter views.

Certificate Sample
Status
Verified

Where Our Learners Work

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

Flipkart
Freshworks
Juspay
Chargebee
Zoho
PayPal
PREMIER PLATFORM EXPERIENCE

Why Pantech?

An expert-crafted learning infrastructure built for technical fluency.

Industrial Expert Mentors

Direct guidance and weekly doubt clearing sessions hosted by hardware, embedded, and software engineering veterans.

24/7 Interactive Support

Ask coding doubts anytime on our student community workspace and receive instant assistance.

Self-Paced Learning Engine

Access lifetime recorded modules with adaptive pacing to balance academics and professional work.

Career Guidance Support

Exclusive resume review, mock interviews, and placement assistance from industry experts.

We are Accredited by

Our Awards & Achievements
Award 1
VERIFIED STUDENT REVIEWS

What Our Students Say

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VERIFIED LEARNER

Get exclusive lifetime access to coursework, simulators, custom templates, and direct placement opportunities.

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+91 8925533488/89

HAVE QUESTIONS?

Frequently Asked Questions

Find instant answers to all common questions about our technical certificate courses.

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.

9.Which machine learning libraries are covered?

Learners work with Python, Scikit-learn, Pandas, NumPy, TensorFlow, Keras, and related data science tools.

10.Will I learn model deployment?

Yes. The course concludes with model deployment techniques to help you understand how trained machine learning models are moved into production environments.

11. Is this course suitable for aspiring data scientists and AI engineers?

Absolutely. The curriculum provides a practical foundation in machine learning workflows and project implementation, making it valuable for learners pursuing careers in data science, AI, and analytics.

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