📣 Avail Discount On Our Selected Courses: Get Our Mentor-Led Courses for Flat 50% off! Explore
📣 Avail Discount On Our Selected Courses: Get Our Mentor-Led Courses for Flat 50% off! Explore
Machine Learning Certification Course
Learn to Train Your First Neural Network in Python In Weeks
- 1 Year Course Access
- Live Mentorship by Experts
- Internship Certificate
- 20 - 30 Hours of Live Class
- 2 Capstone Projects
- Course Completion Certificate
Our Official Internship Partners
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Become a Better
ML Engineer
Over 200 students have already
registered for the next batch!
- Still have any doubt?
- Get one-to-one mentorship.
- Construct counterfeit neural organizations with Tensorflow and Keras.
- Arrange pictures, information, and opinions utilizing profound learning.
- Make forecasts utilizing direct relapse, polynomial relapse, and multivariate relapse.
- Information Visualization with MatPlotLib and Seaborn.
- Actualize ML at gigantic scope with Apache Spark's MLLib.
- Comprehend support learning - and how to construct a Pac-Man bot.
- Arrange information utilizing K-Means grouping, Support Vector Machines (SVM), KNN, Decision Trees, NMLve Bayes, and PCA.
- Use trMLn/test and K-Fold cross approval to pick and tune your models.
- Fabricate a film recommender framework utilizing thing based and client-based shared separating.
- Clean your information to eliminate exceptions.
- Plan and assess A/B tests utilizing T-Tests and P-Values.
- You'll require a personal computer (Windows, Mac, or Linux) equipped for running Anaconda 3 or more current. The course will walk you through introducing the essential free programming.
- Some earlier coding or scripting experience is required.
- At any rate secondary school level, numerical abilities will be required.
ML is the study of getting PCs to act without being expressly modified. In the previous decade, ML has given us self-driving vehicles, commonsense discourse acknowledgment, compelling web search, and an incomprehensibly improved comprehension of the human genome.
- Programming designers or software engineers who need to change into the worthwhile information science and ML profession way will gain so much from this course.
- Information examiners in the account or other non-tech enterprises who need to change into the tech business can utilize this course to figure out how to dissect information utilizing code rather than instruments. Yet, you'll need some related knowledge in coding or scripting to be effective.
- On the off chance that you have no earlier coding or scripting experience, you ought NOT to take this course - yet. Go take an early on Python course first.
Why Study Machine Learning?
Jobs on the Rise.
According to a recent survey, jobs in machine learning are rising.
Lucrative Career.
Machine learning is a constantly evolving and lucrative career.
High Paying Jobs.
This is a growing sector with many high-paying jobs.
Fast Growing Field.
The field is growing quickly, making it an exciting and rewarding career path.
Machine Learning Course Syllabus
In the past decade, we have seen a dramatic increase in the use of machine learning. This technology is being used across a variety of industries, from retail to finance, and its impact is only increasing. For businesses, machine learning can be used to improve customer service, target marketing, and even predict future trends. For individuals, machine learning is providing new opportunities for personalization and customization. In this session, we will provide an introduction to machine learning, including its definition, history, and applications.
Supervised learning is a type of machine learning algorithm that uses a known set of training data to train a model to produce desired output. Linear regression is a type of supervised learning algorithm that finds the linear relationship between a dependent variable and one or more independent variables.
In this session we will discuss more about Supervised Learning and Linear Regression.
There are many supervised machine learning models that can be used for classification, but logistic regression is a popular choice due to its simplicity and interpretability. In this session, we'll explore how logistic regression works and how it can be used for classification tasks. We'll also see how to train and evaluate a logistic regression model using Python.
Decision trees are a powerful tool for both classification and regression tasks. A decision tree is a model that is used to predict the value of a target variable by learning simple decision rules inferred from the data features. Random forests are a modification of decision trees. In this session, we will discuss more about Decision Tree and Random Forest.
In machine learning, there are a few different methods for classification. Naive Bayes and Support Vector Machine are two of the most popular methods.
In this session, we'll take a look at both methods and see how they compare.
Looking for the complete module?
Download Full Syllabus
Certificates you will receive post completion of Machine Learning Course
- We acknowledge your hard work and dedication towards the program by bestowing a course completion certificate from YHills.
- We also provide internship certificates from YHills and top-hole universities after post successful completion of the internship.
- We purvey an Industry certificate from renowned and prestigious companies as an incentive.
Machine Learning Course Fee
Choose from our different pricing plans for our Machine Learning course.
Self Paced
₹ 4000
/ Course
- Access to our corporate network
- Linkedin recommendation
- Personal student dashboard
- Access everything on fingertip
- Recorded Video Lectures
- Industrial Projects
- Certifications
- Live Sessions
- Direct Mentoring
- Doubt Clearing Sessions
- Aptitude Grooming
- Personality Development
- Group Discussion
- Resume Building
- Placement Assistance
- IBM / Microsoft Certificate
Mentor Led
₹ 6000
/ Course
- Access to our corporate network
- Linkedin recommendation
- Personal student dashboard
- Access everything on fingertip
- Recorded Video Lectures
- Industrial Projects
- Certifications
- Live Sessions
- Direct Mentoring
- Doubt Clearing Sessions
- Aptitude Grooming
- Personality Development
- Group Discussion
- Resume Building
- Placement Assistance
- IBM / Microsoft Certificate
Professional
₹ 9000
/ Course
- Access to our corporate network
- Linkedin recommendation
- Personal student dashboard
- Access everything on fingertip
- Recorded Video Lectures
- Industrial Projects
- Certifications
- Live Sessions
- Direct Mentoring
- Doubt Clearing Sessions
- Aptitude Grooming
- Personality Development
- Group Discussion
- Resume Building
- Placement Assistance
- IBM / Microsoft Certificate
Meet Our Mentors
We are ready to assist, advise, encourage and listen as you begin your professional courses at YHills.
Garima Mittal
AutoCAD Trainer
Nischal Aremanda
Web Development Trainer
Premalatha T
Machine Learning & Data Science Trainer
Vaishnavu C V
Cyber Security Consultant | Mentor
Hear what our students says
15,000+ Students have already learned with YHills!
After taking this machine learning course, I have a much better understanding of how to use machine learning and data science in my business.
Anzu Thakur
Mastering Machine Learning: A [Step-by-Step] Guide for Beginners
Have you ever noticed how the internet seems to know what you like?
Well, it’s because of something called machine learning.
It’s like a smart computer program that learns from data and helps make decisions.
Machine learning is used in many things we see online, like the posts we see on social media and the ads that pop up.
It’s pretty cool.
Here’s a fun fact: Companies all over the world use machine learning, and it’s predicted that by 2030, the global machine learning market will be worth a lot of money—USD 419.94 billion, to be exact.
That’s a huge amount of money!
FAQ's
At YHills Edutech, we believe in providing excellent customer service, ensuring that all your queries are answered promptly and efficiently.
Yes, of course it is! Machine learning is a branch of artificial intelligence (AI) that focuses on the development of computer systems that can learn from data and make predictions based on new information.
Machine learning can be used in almost every industry! It has already been used to improve the quality of healthcare, solve crimes more efficiently than humans ever could before, predict stock prices accurately enough to make billions of dollars in profits, etc. The possibilities are endless!
Yes! You don't need any prior experience with math or statistics to take this course—we'll be using Python and R, which are both easy-to-learn languages that allow you to get your hands dirty with data right away.
Because machine learning is all about handling big data! The more data you have and the bigger your company is, the more machine learning will help you. It can help automate processes like predictive analytics or customer service chatbots. It can also help with image recognition or speech-to-text conversion. If you're working at a large company (or any company with lots of data), chances are there's a place for machine learning in your workflow somewhere.
A few examples include chatbots, self-driving cars, and autonomous weapons. Chatbots use machine learning to understand what you're saying and respond appropriately. Self-driving cars use machine learning to predict the actions of other drivers and pedestrians around them and then take action accordingly. And autonomous weapons use machine learning in order to learn about their environment and decide how best to attack targets based on what they see.
There are several courses that are related to computer science including:
Learn Python in Weeks and Train Your First Neural Network
Are you prepared for getting started on your journey in Machine Learning?