Machine Learning

Overview
Curriculum
FAQs

MACHINE LEARNING

Master Machine Learning with Python through a practical, industry-focused training program designed for students, freshers, and working professionals. Learn how to build intelligent systems using Python and modern Machine Learning techniques while working on real-world datasets and hands-on projects.

This course covers the complete Machine Learning workflow, including data preprocessing, data visualization, feature engineering, regression, classification, clustering, model evaluation, and neural networks. Gain practical experience with industry-standard tools such as Python, NumPy, Pandas, Matplotlib, Seaborn, and Scikit-Learn. build a strong portfolio that prepares you for careers in AI, Data Science, and Machine Learning.

Explore Our Course Modules

Module 1: Python Programming Fundamentals

Python Basics & Syntax
Variables & Data Types
Operators & Expressions
Lists, Tuples, Sets & Dictionaries
Functions & Modules
Python Best Practices

Module 2: Python Libraries for Machine Learning

Introduction to NumPy
Data Manipulation with Pandas
Data Visualization with Matplotlib
Data Visualization with Seaborn
Hands-on with Python Libraries

Module 3: Control Flow & Data Structures

Conditional Statements
Loops (For & While)
Functions & Lambda Expressions
Exception Handling
File Handling

Module 4: Data Analysis & Visualization

Introduction to Data Analysis
Exploratory Data Analysis (EDA)
Data Cleaning
Statistical Summaries
Visualizing Insights
Mini Data Analysis Project

Module 5: Machine Learning Fundamentals

Introduction to Machine Learning
Types of Machine Learning
Supervised Learning
Unsupervised Learning
Model Development Workflow

Module 6: Regression Algorithms

Linear Regression
Multiple Linear Regression
Polynomial Regression
Model Evaluation Metrics
Regression Hands-on

Module 7: Classification Algorithms

Logistic Regression
K-Nearest Neighbors (KNN)
Naïve Bayes
Support Vector Machine (SVM)
Decision Tree Classifier

Module 8: Clustering Techniques

K-Means Clustering
Hierarchical Clustering
Cluster Evaluation
Real-World Clustering Examples

Module 9: Advanced Machine Learning Models

Decision Trees
Random Forest
Bagging
Boosting
Ensemble Learning

Module 10: Feature Engineering & Data Preprocessing

Data Cleaning
Handling Missing Values
Outlier Detection
Feature Scaling
Feature Selection
Data Transformation

Module 11: Model Evaluation & Optimization

Train-Test Split
Cross Validation
Hyperparameter Tuning
Performance Metrics
Model Optimization Techniques

Self Paced

Learn at your own pace

^INR 6,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

Mentor Led

Guided Learning with mentor support

^INR 9,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

Professional

Be placement ready

^INR 14,999

Recorded Sessions
Hands-on Projects
Certifications
Doubt Clear Sessions
Live Sessions
Mentor Guidence
Placement Support
1:1 Mentoring

🏆 CAREER BOOSTER

Earn Industry-Recognized Certificates

Showcase your skills, strengthen your resume, and stand out to employers with industry-recognized certificates.

TOOLS & TECHNOLOGIES

Learn the Technologies That Matter

Explore the tools and technologies used to build, experiment with, and deploy modern AI solutions.

Python

Jupyter Notebook

Anaconda

NumPy

Pandas

Matplotlib

Seaborn

Scikit-learn

TensorFlow

Jupyter Lab

Machine Learning

Data Visualization

VS Code

Google Colab

Git

Power BI

Excel

Top Companies Hiring

CAREER OUTCOMES

Top Companies Hiring for These Skills

TCS

IT Services

Infosys

IT Services

Wipro

IT Services

HCLTech

IT Services

Tech Mahindra

IT Services

Cognizant

IT Services

Accenture

IT Services

Capgemini

IT Services

Google

IT Product

Microsoft

IT Product

Amazon

IT Product

TCS

IT Services

Infosys

IT Services

Wipro

IT Services

HCLTech

IT Services

Tech Mahindra

IT Services

Cognizant

IT Services

Accenture

IT Services

Capgemini

IT Services

Google

IT Product

Microsoft

IT Product

Amazon

IT Product

Swiggy

Startup

Zomato

Startup

Paytm

Fintech

PhonePe

Fintech

Razorpay

Fintech

Zerodha

Fintech

HDFC Bank

Banking & Finance

ICICI Bank

Banking & Finance

Swiggy

Startup

Zomato

Startup

Paytm

Fintech

PhonePe

Fintech

Razorpay

Fintech

Zerodha

Fintech

HDFC Bank

Banking & Finance

ICICI Bank

Banking & Finance

    
 
 
       Posted on Google  
   
   shivani verma 
 
 
 
 Trustindex verifies that the original source of the review is Google. i have taken the course for my extra learning and it helped me to crack my placement . teachers explained every topic very well .
  
 
      Posted on Google  
   
   himanshu namdev 
 
 
 
 Trustindex verifies that the original source of the review is Google. I had good experience throughout the training, specially one on one mentorship was really helpful
  
 
      Posted on Google  
   
   Vanya Singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. Learning environment was encouraging and motivating. Gained not only technical knowledge but also the courage to chase bigger career goals.
  
 
      Posted on Google  
   
   Vishakha Sharma 
 
 
 
 Trustindex verifies that the original source of the review is Google. faculty is amazing
  
 
      Posted on Google  
   
   shiv pratap kanhaiya singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. Amezing experience
  
 
      Posted on Google  
   
   Teena Prajapat 
 
 
 
 Trustindex verifies that the original source of the review is Google. Nice learning environment with proper workstations. Team is supportive and place is well maintained. Had a good experience at Steatic Solutions. Professional setup and clear guidance. Recommended👍.
  
 
      Posted on Google  
   
   Aarti Singh 
 
 
 
 Trustindex verifies that the original source of the review is Google. It was a good course have taken marketing one, really appreciate how well it was structured, because of which was easy to follow and helped in gaining clear understanding of what was being taught.

Curriculum

13 Sections
59 Lessons
12 Weeks

Expand all sectionsCollapse all sections

Module 1: Python Fundamentals
6 Items
Module 2: Python File Handling & Data Structures
6 Items
Module 3: Loops & Conditional Statements
3 Items
Module 4: Data Analysis with NumPy
3 Items
Module 5: Data Analysis with Pandas
3 Items
Module 6: Data Visualization
5 Items
Module 7: Statistical Thinking in Python
4 Items
Module 8: Supervised & Unsupervised Learning
7 Items
Module 9: Logistic Regression
3 Items
Module 10: Linear Regression
2 Items
- 10.1
  Linear Regression Fundamentals
- 10.2
  Metrics for Linear Regression
Module 11: Data Preprocessing for Machine Learning
7 Items
Module 12: Tree-Based Models
5 Items
Module 13: Neural Networks & Projects
5 Items

How do I enroll in a course?

To enroll in a course, you need to create an account on our platform, browse our course catalog, and click on the "Enroll" button next to the course you want to join. Follow the on-screen instructions to complete the registration process.

Will I receive a certificate upon completion?

Yes, most of our courses offer a certificate of completion, provided you meet all the course requirements, such as passing quizzes and submitting assignments.

Are there any exams or assessments?

Courses often include quizzes, assignments, and sometimes final exams to assess your understanding of the material. The specific assessment methods will be detailed in the course syllabus.

How do I pay for a course?

Courses can be paid for using a credit/debit card, PayPal, or other payment methods specified at checkout. Payment is required at the time of enrollment.

Course Info

Price :
₹9,999.00
Duration : 12 week
Skill Level : Intermediate
Category : Technical Courses

Module 1: Python Programming Fundamentals

Module 2: Python Libraries for Machine Learning