Internshala Trainings certificate
NSDC & Skill India certificate
Be in demand
Youtube recommendations, Google search, and surge pricing in Uber - Machine Learning is already used so much in everyday life and its application is only going to increase.
Lucrative salary
The average salary for Machine Learning roles is 11LPA+ according to Glassdoor.
Build the future
Self drive cars or robots that talk and behave like humans, Machine Learning is the future.
Free Placement Prep Training
Learn how to build your resume, make great applications, and ace your interviews.
Curated internships & jobs
Get internships and fresher jobs as per your preference in your inbox.
Get highlighted on Internshala
Top performers will be highlighted in their internship & job applications on Internshala.
ChatGPT
Develop and deploy machine learning models with ease through debugging and algorithm selection tips.
Teachable Machine
Auto-generate machine learning models for your projects without coding. Get insights, analyze data, process language naturally, and brainstorm ideas.
How will your training work?
Learn concepts
Go through training videos to learn concepts
Test yourself
Test your knowledge through quizzes & module tests at regular intervals
Hands-on practice
Get hands on practice by doing assignments and project
1:1 doubt solving
Get your doubts solved by experts through Q&A forum within 24 hours
Take final exam
Complete your training by taking the final exam
Get certified
Get certified in Machine Learning upon successful completion of training
87 video tutorials
4 assignments
3 projects
2 AI tools covered
After completing the training, you can also download videos for future reference
Develop a predictive model to estimate real estate property values based on various features of the properties and their locations.
Predict whether customers in the telecom industry will churn (switch service providers) using machine learning classification algorithms.
Create a classification model to predict the presence of specific diseases based on patient medical data.
Why learn with Internshala Trainings?
Did you know that artificial intelligence (AI) is expected to contribute up to $15.7 trillion to the global economy by 2030, according to the World Economic Forum? This highlights the vast potential and growth opportunities in the field of AI and machine learning (ML).
Enrol in our government-certified machine learning online course and master Python and top machine learning algorithms. Earn a prestigious certificate accredited by IIT-Madras Pravartak, along with NSDC and Skill India certificate. Also, get an Internshala Training certificate that is recognized by over 100,000 companies.
Enhance your skills and become a machine learning expert in just 6 weeks with Internshala's ML course. Sign up today and get access to the following:
Internshala's machine learning training is meticulously structured to cover all fundamental and advanced aspects of machine learning. The course is designed to provide a thorough understanding of machine learning techniques, enabling students to apply them effectively in real-world scenarios.
Students will delve into essential concepts, from data handling and Python programming to various machine learning algorithms and AI applications. Further, they will also work on a real-life project to test their knowledge and skills.
This machine learning certification course is perfect for beginners who wish to become proficient in machine learning. Each module provides a structured and thorough understanding of machine learning concepts, tools, and techniques. Let's take an in-depth look at the syllabus:
In the first module of the course, you'll grasp the fundamentals of machine learning. You will learn how ML algorithms work and also discover various types of machine learning.
In the next module, you'll learn about the various types of data used in machine learning. You'll understand how to represent data graphically and analytically and recognize the constraints of conventional data analysis methods.
In this part of the course, you'll build a foundation in Python and set up Jupyter Notebook. You'll learn essential Python libraries for data analysis, grasp the basics of Python programming (conditionals, loops, functions), explore your dataset, and master advanced data manipulation functions.
In the fourth part of the course, you will gain knowledge about data exploration, and understand target variables, independent numerical variables, and categorical variables. You will also learn how to split data into training and testing sets and understand the importance of feature scaling in data preprocessing.
You will learn to build and evaluate your first predictive model in this part of the course. You will understand the basics of linear regression and gradient descent. Then you will move on to learn more about the assumptions underlying linear regression models. You will also discover how to implement linear regression.
In module 6 of the course, you'll discover common techniques for reducing dimensionality in data. You'll also explore advanced methods for dimensionality reduction.
In the seventh module of this machine learning training, you will understand the fundamental concepts of logistic regression. You will also learn about different metrics for evaluating model performance. Further, you will understand how to implement logistic regression models.
After you learn about logistic regression in module 7, you'll explore decision tree algorithms in module 8. You'll understand the logic and structure of decision trees in machine learning. You'll also learn how to enhance model performance through pruning and hyperparameter tuning.
In the ninth module, you will learn about the fundamentals of ensemble techniques.
You will acquire an understanding of the random forest algorithm and discover how to implement bagging and random forest models.
The 10th module will deal with clustering algorithms, their fundamentals, and their significance in ML training. You will learn about the K-means clustering algorithm and get to know how to implement the K-means clustering algorithm.
In the last module of the course, you will get hands-on experience using AI. You will employ advanced tools like ChatGPT and Gemini to solve complex machine-learning problems with utmost effectiveness.
In this machine learning online course, you will work on real-world projects. You will learn how to use a regression algorithm to predict real estate prices based on various factors. You will also analyze demographic and transaction data to forecast customer retention rates in banks. Additionally, you will automate the loan approval process using customer details and predict credit card payment defaults based on their payment history.
Further, you will assist a marketing team in launching a promotional campaign by applying advanced classification techniques. These projects will give you practical, hands-on experience, making your learning journey exciting as well as enriching.
The demand for machine learning professionals has skyrocketed. There are a variety of exciting roles that you can explore to build a successful career in this domain. Here are some career paths in machine learning that you can consider after pursuing a machine learning certification course:
Internshala's machine learning certification course offers a comprehensive learning experience with several key benefits: