Machine Learning
Learn Machine Learning from fundamentals to advanced concepts and build predictive models using Python, real-world datasets, and practical machine learning techniques.
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Practical Training on Live Projects
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Placement Assistance
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Years of Experienced Industry Trainers
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Learners Trained
The Machine Learning Course is designed to help learners understand how machines learn from data and how machine learning models can be developed to solve real-world problems. The course takes you from the fundamentals of machine learning to practical model development and evaluation.
You will learn important concepts such as data preprocessing, exploratory data analysis, supervised learning, unsupervised learning, feature engineering, model evaluation, and model optimization. You will also work with popular machine learning algorithms for classification, regression, clustering, and prediction.
Understand core machine learning concepts, workflows, types of learning, and how ML models solve real-world problems.
Learn and implement algorithms for classification, regression, clustering, and prediction using practical datasets.
Learn how to clean data, handle missing values, identify important features, and prepare datasets for effective model training.
Build, test, evaluate, and optimize machine learning models using appropriate performance metrics and techniques.
· Traditional v/s Machine Learning Programming
· Real life examples based on ML
· Steps of ML Programming
· Data Preprocessing revised
· Terminology related to ML
· Supervised & Unsupervised Learning
· Math behind KNN
· KNN implementation
Understanding hyper parameters
· Confusion Matrix
· Accuracy Score
· Recall & Precision
· F-1 Score
· R2 Score
· Math behind Regression
· Simple Linear Regression
· Multiple Linear Regression
· Polynomial Regression
· Boston Price Prediction
· Cost or Loss Functions
o Mean absolute error
o Mean squared error
o Root mean squared error
o Least Square Error
· Regularization
· Theory of Logistic Regression
· Binary and Multiclass classification
· Implementing iris dataset
Sigmoid and softmax functions
Hands-on practical capstones and production-grade applications
Machine Learning
Started 14 Sept 2026 · Monday to Thursday · Mentor: Aditya sir
Machine Learning EngineerData ScientistAI/ML EngineerData AnalystPython DeveloperJunior Data ScientistMachine Learning Developer
Get 100% Placement Support with resume guidance, interview preparation, mock interviews, and career assistance.
Student Testimonials
Real feedback from graduates across classroom and online programs
“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine Learning“I had a great learning experience at LN AI Academy. The trainers explain complex topics in a very simple and practical way. The hands-on projects helped me understand how AI and Data Science are used in real-world applications.”
Rahul SharmaData Science Training“LN AI Academy has been a great place to improve my technical skills. The concepts are explained from the basics, followed by practical sessions and projects. The learning environment is friendly and comfortable for beginners.”
Arjun MehtaPower Bi Training“I joined LN AI Academy to learn Data Analytics and Machine Learning. The training is practical, and the trainers are very supportive. I especially liked the project-based learning and the way doubts are explained patiently.”
Priya VermaData Analytics Training“I would recommend LN AI Academy to anyone who wants to learn AI, Data Science, and Machine Learning. The training is focused on practical knowledge, and the trainers are knowledgeable and supportive throughout the course.”
Amit KumarAI Training“My experience at LN AI Academy has been really good. Aditya Sir explains difficult concepts with simple examples and gives proper guidance during practical sessions. The projects helped me gain more confidence in my skills.”
Neha SinghMachine LearningFAQs
Anything else? Talk to us on the contact page — a counsellor replies within a day.
The course covers machine learning fundamentals, data preprocessing, supervised learning, unsupervised learning, feature engineering, model evaluation, and optimization.
Yes. The course covers concepts step by step, but basic Python knowledge is recommended for following the practical sessions.
No. Prior machine learning experience is not required. You will learn the concepts and implementation from the fundamentals.
The course primarily uses Python along with popular machine learning and data science libraries.
Yes. You will learn practical techniques for classification, regression, clustering, and other machine learning tasks.
Yes. The course includes hands-on projects based on practical use cases such as house price prediction, customer churn, customer segmentation, and loan approval prediction.
Yes. The course includes 100% Placement Support, including resume guidance, interview preparation, mock interviews, and career assistance.
Talk to a counsellor about your background and goals. Fifteen minutes of honest advice — no sales script, no obligation.
15000+GST20000+GST
