Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Machine Learning Course Key Features 100% Money Back Guarantee
-
5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Machine Learning Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
For Hands-on Practices -
Lifetime Access
To Self-placed Learning -
Placement Assistance
To Build Your Career
Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
-
Annual SalaryHiring Companies
Machine Learning Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Machine Learning Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Machine Learning technologies :
Syllabus of Machine Learning Online Course Download syllabus
- Basics of Probability
- Basics of Statistics?
- What is Machine Learning?
- Introduction to the standard normal distribution and normal distribution
- Introduction to business moments
- Artificial Intelligence
- Introduction to supervised learning
- One hot encoding
- What is linear regression?
- Introduction to classification problems
- What is logistic regression?
- Gradient descent and cost function
- Decision tree
- Entropy
- Information gain
- Mathematical intuition behind SVM
- Support Vector Machines
- Bootstrapping and majority rule
- Random Forest
- Evaluation of classifiers
- What is clustering?
- Why is clustering important?
- Elbow curve and Kmeans
- Hierarchical Clustering
- Dendrogram
- Evaluation of clustering algorithms
- Principal Component Analysis
- Feature Selection
- Mathematical intuition behind PCA
- Deep learning
- Artificial Neural Network
- Understanding backpropagation
- Different activation functions
Contact Us
+91 9176954999
(24/7 Support)
Get Free Trail Now
Industry Projects
Mock Interviews
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
Machine Learning Training Objectives
- A training course in Machine Learning certification equips learners with the expertise and abilities necessary for the development, build, and implement machine learning models. Deep learning, natural language processing, model selection, algorithm optimization, and data preparation are only a few of the of the topics which are generally addressed throughout the course.
- Several programming languages are commonly used for machine learning, including Python, R, and Java. Python, with libraries like TensorFlow and scikit-learn, is particularly popular due to its simplicity, vast ecosystem, and extensive support for machine learning frameworks.
- Machine Learning can be challenging, especially for beginners without a strong background in mathematics and programming. It requires a solid understanding of concepts like statistics, linear algebra, and calculus. However, with dedication, practice, and the availability of numerous learning resources, it is possible to grasp and apply machine learning techniques effectively.
- Machine learning professionals are often in high demand, and their salaries tend to be quite competitive. Salaries can vary based on factors such as experience, location, job role, and industry. Skilled machine learning engineers, data scientists, and researchers are typically well compensated due to the specialized nature of their work.
- Machine Learning training is suitable for individuals interested in data analysis, predictive modeling, and artificial intelligence. Professionals in fields like data science, computer science, engineering, and research often pursue machine learning training to enhance their skills and stay competitive in their respective industries.
- Introduction to Machine Learning.
- Algorithms involving supervised learning, which include support vector machines, decision trees, and linear regression.
- Feature selection and engineering.
- Deep learning and neural networks.
- Model optimization and performance tuning.
- Healthcare: Diagnosis, drug discovery, and personalized medicine.
- Marketing: Targeted advertising, customer behavior analysis, and campaign optimization.
- Autonomous vehicles: Object detection, image recognition, and self-driving capabilities.
- Natural language processing: Language translation, sentiment analysis, and chatbots.
- Cybersecurity: Anomaly detection, threat detection, and network security.
- Machine Learning is used to analyze large amounts of data, identify patterns, and make predictions or decisions without explicit programming. It enables systems to learn from experience and improve their performance over time. Machine learning is valuable for automating tasks, making accurate predictions, solving complex problems, and gaining insights from data that may not be immediately apparent.
- Yes, machine Learning is considered an important skill within the field of information technology (IT). It involves applying mathematical and statistical techniques to analyze and interpret data, building models and algorithms, and using programming languages to implement machine learning solutions. Machine Learning is often used in data-driven decision-making and automation in various IT applications.
- Data scientists and analysts: They use machine learning algorithms to extract insights and make predictions from large datasets.
- Researchers: They apply machine learning techniques to advance scientific understanding in fields like physics, biology, and social sciences.
- Engineers: They use machine learning to build intelligent systems, such as recommendation engines, image recognition systems, and natural language processing applications.
Exam & Certification
- Participate and Complete One batch of Machine Learning Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Machine Learning course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Recently Placed Students
Pranav Srinivas
Software Testing, CapgeminiMachine Learning Course FAQ's
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.