Machine Learning Training
Machine Learning training course online will help you learn Python, Data Analytics, Data Visualization, Predictive Analytics, ML, etc.
This ML certification course provides hands-on experience on 10+ industry projects, 30+ case studies. Propel your career towards a better job and salary with Machine Learning
Choose Your Plan
Mentor-Led: RS 5300/-
Mentor-Led: RS 5300/-
Mentor-Led: RS 5300/-
- Get Trained by Trainers from IIT Alumni
- 40 + hours of live online training sessions
- Recorded Videos
- 5 + Machine Learning projects
- 40+ Hours of practical Assignments
- Dedicated mentoring sessions from industry experts
- Certification
Advanced : RS 8850/-
Mentor-Led: RS 5300/-
Mentor-Led: RS 5300/-
- Get Trained by Trainers from IIT Alumni
- 80 + hours of Live training Sessions
- Recorded Videos
- 10 + projects
- 60+ Hours of practical Assignments
- Guaranteed machine learning internship
- Dedicated mentoring sessions from industry experts
- Certification
Explore our Machine Learning Projects
Predicting the Fare to be charged for a passenger
Identify the level of income qualification needed for the families in Latin
Restaurant recommendation engine for Zomato using user review data
Predict California House Prices using Regression
Create a system that recommends movies based on the user choices
Build an SMS spam detection web application
Graduate Admission Prediction using Regression
Titanic Survival Prediction
IRIS Flower Classification
Machine Learning Course Curriculum
Module-1: Introduction to Machine Learning
- What is Machine Learning
- Use cases of Machine Learning
- Types of Data
- Different types of Machine Learning
- Python Concepts
- Sequences and Iteration
- Booleans and Conditionals
- Functions& Modules
- Python Data Structures
- Overview of OOPs
- Creating Classes
- Creating Instance Objects
Module-2: Maths and statistics for Machine Learning
- Mathematics
- Linear Algebra
- Statistics
- Central Tendency Vs Dispersion
- Percentiles
- Dependant variable, Independent variable
- Types of data
- Outliers
- Understanding data
Module-3: Machine Learning tools & package
- Python Packages
- Numpy
- Pandas
- Scikit-learn
- Data Processing
- Data Visualization
- Introduction to Data Visualization
- Introduction to Matplotlib
- Basic Plotting with Matplotlib, Seaborn
- Pre-processing Data using machine learning tools
Module-4: HTTP API Requests
- HTTP Requests
- http methods
- REST API’s
- Requests modules
- WeatherAPI
- Using Python requests to access weather data
- Working with JSON data
Module-5 : Recommendation systems
- Introduction to Recommendation systems
- Movie Recommendation systems
- Restaurant Recommendation system
Module-6 : Introduction to Regression Algorithms
- Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Decision Tree
Module-7: Introduction to Classification algorithms
- Logistic Regression
- K-Nearest Neighboring
- Naive-Bayes
- Decision Tree
- Model Evaluation
Module-8: Deploying Machine Learning Model using Flask
- Web Development using HTML and CSS
- Web Application using Flask and Python
- Deploying ML Model using Flask Framework
- Final Industrial Projects