- Beginner & Advanced level Classes.
- Hands-On Learning in Machine Learning.
- Best Practice for interview Preparation Techniques in Machine Learning.
- Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
- Affordable Fees with Best curriculum Designed by Industrial Machine Learning Expert.
- Delivered by 9+ years of Machine Learning Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
- Next Machine Learning Batch to Begin this week – Enroll Your Name Now!
Upcoming Batches
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
Most Job Oriented Tools Covered in Machine Learning Training in Noida
Learn From Experts, Practice On Projects & Get Placed in IT Company
- We train students for interviews and Offer Placements in corporate companies.
- Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
- You will not only gain knowledge of Machine Learning and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
- Experienced Trainers and Lab Facility.
- Professional Certificate Program in Machine Learning Guidance Support with Exam Dumps.
- For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
- Resume & Interviews Preparation Support.
- Concepts: Data Analytics, R programming, Data Manipulation in R, Data Import techniques in R, Exploratory data Analysis, Basics of Statistics & Linear & Logistic Regression, Data Mining: Clustering techniques, Regression & Classification, Anova & Sentiment Analysis, Data Mining: Decision Trees and Random Forest, Project work.
- START YOUR CAREER WITH MACHINE LEARNING COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
- Classroom Batch Training
- One To One Training
- Online Training
- Customized Training
- Enroll Now
Course Objectives
Why should I select Machine Learning as a Career?
Machine learning Online Course may be a smart career path. In keeping with a 2019 report by so, Machine Learning Engineer is that the top job in terms of earnings, growth of postings, and general demand. Machine learning is that the shining star of the instant. With each business trying to use AI in their domain, learning machine learning opens a world of opportunities to develop leading-edge machine learning applications in numerous verticals like cybersecurity, image recognition, medicine, or face recognition.
What are the Machine Learning job Opportunities?
Since research and analytics are important elements of structure processes that can't be completed while not statistical analysis calculations, Machine Learning with Python has gained immense influence through this market. Therefore, candidates who have sound information in Machine Learning with Python can get enough opportunities in this Noida. Also, having a Machine Learning certification will increase the probabilities of obtaining utilized.
What will you learn through this Machine Learning Course in Noida?
- Fundamentals of using the information to train machines
- Representation of a man-made neural network
- Linear regression with multiple variables using Python
- Logistic regression for classifying information using Python
- Support Vector Machines algorithms
- Designing a Machine Learning system
- Principal part Analysis for data modeling.
What are the tools utilized in Machine Learning Certification Online Training?
- Knime.
- Accord.net.
- Scikit-Learn.
- TensorFlow.
- Weka.
- Pytorch.
- RapidMiner.
- Google Cloud AutoML.
Does Machine Learning jobs in demand?
Machine Learning Jobs are high in demand across the MNCs globally. ML & AL certifications are the extremely valued data Technology Certification within the entire business. It provides promising career prospects. AI and machine learning jobs have jumped by nearly 75% over the past four years and are poised to stay growing. Following a machine learning job may be a hard selection for a high-paying career that will be in demand for many years.
How to get a machine learning job without a degree?
- Competitions.
- Building your projects.
- Open supply projects.
- Produce a machine learning journal.
- Hackathons.
- Contemplate a cantonment
- Visit networking events.
How quickly can you learn machine learning Course in Noida?
Machine learning courses vary in very amount from 6 months to 18 months. However, the program varies with the sort of degree or certification you decide for. You stand to realize decent knowledge on machine learning through 6-month courses that may offer you access to entry-level positions at prime companies. 10 days will offer enough time to realize a survey of the fundamentals of machine learning, and even permit a brand new professional to use a number of these skills to their project.
What is the Machine Learning with Python Market Trend?
India’s top package companies have most of their operations through this city. The main focus of international companies through this city has created a large competition which might be managed by analyzing the market conditions. Machine Learning with Python programming serves this purpose, and thence aspirants eager to become important data Scientists should learn Machine Learning with Python.
What are the Requirements of a Machine Learning Certification Online Course in Noida?
This Machine Learning course needs an understanding of basic statistics and arithmetic at the school level. Familiarity with Python programming is additionally useful. You must understand these basic courses as well as Python for Data Science, mathematics Refresher, and Statistics Essential for data Science, before stepping into the Machine Learning Course.
How do I become a Machine Learning Engineer?
This course can offer you an entire summary of Machine Learning methodologies, enough to arrange for you to stand out in your next role as a Machine Learning Engineer. You'll earn Machine Learning certification which will attest to your new skills and on-the-job experience. Get accustomed to regression, classification, statistic modeling, and clump.
What skills you’ll gain from this Machine Learning?
- Master in supervised and unattended learning ideas and Modeling.
- Gain knowledge on the mathematical and aspects of machine learning.
- Understand the operations of Support vector machines, simple regression, call tree, K-nearest neighbors, and K suggests that clump.
- Attain practical mastery over the Principles, algorithms, and machine learning.
How is python utilized in Machine Learning?
Python offers concise and clear code. whereas complicated algorithms and versatile workflows stand behind machine learning and Python's simplicity allows developers to write down reliable systems. Python code is understandable by humans, which makes it easier to create models for machine learning.
Overview of Machine Learning Training in Noida
ACTE Training is The Best Training in Noida for Machine Learning. We offer extraordinary Machine Learning way Training with proficient strolling footwear withinside the Machine Learning endeavor. We give 100% arrangement help and make your fine art on live drives. Preparing Academy is appraised as one of the Most outstanding Machine Learning Training Institute in Noida dependent on Google audits. We have finished more than 18000 Training Machine Learning and provided 100% arrangement help to college understudies. In the course of recent years, Team at ACTE committed to introducing High-Quality Training in Machine Learning. Mentors at ACTE Training are handpicked from Machine Learning Industry and that they've essentially 13+years of involvement carrying out Machine Learning Training. All Machine Learning Trainers are Professional ongoing strolling experts who proposition active experience-based possibilities.
Artificial Intelligence is a subset of Machine Learning. The investigation of making PCs more human-like in their conduct and choices by enabling them to learn and construct their own writing computer programs is known as AI. This is refined with minimal human collaboration, for example without unequivocal programming. The learning system is robotized and improved relying upon the robots' encounters during the interaction. The machines are provided top notch information, and different procedures are utilized to make ML models to prepare the PCs on this information. The calculation utilized is dictated by the kind of information and the activity that must be robotized.
Additional Info
Introduction of Machine Learning :
Get the charming Online Training from primary records researchers in gadgets becoming more acquainted with. Gives a top to bottom Python way on Machine Learning. This way permits you to expand data in various components of ML. The becoming acquainted with discoveries comprise of Python programming gadgets becoming more acquainted with, managed and unattended becoming acquainted with, vector support, Random Forest Classifiers, the lovely exercise of this period, and so forth The space of e-becoming acquainted with, offering you the most over the top total and calling orientated Machine Learning Training in Noida.
Learners are obtaining in-power records and revel in the phenomenally in-call for musings of Machine Learning, as managed and unattended becoming more acquainted with, possibility, insights, Python programming, name tree, arbitrary woodland, direct and arrangement relapse, and a super arrangement heaps of. finishing this preparation way can furnish you with the abilities set, altogether with insights, measurements, and unmistakable classes of cubic centimeter algorithms.
About Machine Learning Training?Machine becoming more acquainted with is Training PC frameworks to be exhorted from becoming more acquainted with and to build up with information – rather than being explicitly delayed to endeavor to do as such." Machine becoming more acquainted with is manufactured insight (AI) application, which licenses constructions to dissect and increment mechanically from the revel in even as without being coded unequivocally. Machine becoming more acquainted with works in PC applications that could get right of passage to and utilize the records for their getting to know.
Roles and Responsibilities of Machine Learning Engineers:
- Supervised Learning.
- Unsupervised Learning.
- Semi-supervised Learning. Roles of Machine Learning :
- The three Main Roles in Machine Learning
- Data Engineer
- Data individual
- ML Engineer
Each of them specializes in a wonderful part of the devices getting to know the device. Naturally, there is overlap among each function, and we can set up more than one critical additive of the devices anyplace those roles have a tendency to collaborate the most.
1. Data Engineer :Data is that the muse of the devices getting to know, however, records have become a warm subject matter earlier than devices getting to know had their relatively current betterment. Information engineers are tasked with constructing records infrastructure for numerous distinctive programs course, like enterprise intelligence, for years, and it is as an alternative glaring that their abilities could be required for the adoption of the devices getting to know.
So what's going to it suggest that they construct records infrastructure? In trustworthy phrases, they produce structures that ingest, shop, redesign, and distribute records. specific phrases depend completely on what fashion of use case and records they may be handling, as an example, whether or not or now no longer an information warehouse or an information lake is the proper answer.
Data engineers interface with records scientists round issues with the records. The predominant, not unusualplace subject matter could likely be the delivery of it. {records | information |and records} mortal will have to get right of entry to records to test and teach a version, and consequently, the engineer of the record is there to facilitate that.
2. Data scientists :Data scientists are a unit tasked with locating records-pushed answers to enterprise issues. As an example, they may be looking for personal records to searching for out substantial person segments and constructing fashions to classify the ones customers into segments to distinguish the quit-person knowledge and force loads of engagement. While the primary reason of {records | an information|and records} mortal is to discover records and construct fashions, development and haggling records have a tendency to be the most lengthy part of their advancement.
This is frequently why the characteristic shop is growing as a chief part of the quit-to-quit metric potential unit infrastructure. Data scientists' number one consciousness is on constructing the devices getting to know the rule. However, there is generally pretty a ton of distance among the scientist's environment and additionally, the very last vacation spot is the meeting environment. Many businesses have followed the function of the devices getting to know engineers for the human beings United Nations business enterprise facilitates productionalizing the metric potential unit version.
3. Machine Learning Engineer :Technologies that regulate devices getting to know to learn and served at the cloud (consisting of Kubernetes) course are generally now no longer part of records scientists' middle abilities. Therefore, devices getting to know engineers have emerged due to the productization professionals for mil. To kind of represent the workflow, records scientists construct and validate the version while engineers assure it scales from a version to a manufacturing device.
However, like records engineering, wondering has shifted in the direction of systems anyplace the goal is lots in the direction of constructing a shared device anyplace engineers and scientists collaborate rather than handovers. while records engineers are unit accountable for the records control platform (or characteristic shop), mil engineers watch out for the MLOps platform that has factors to coach, version, and carrier fashions.
Additionally, mil engineers discover a manner to reveal a manufacturing version to ensure that the served predictions are a unit of predicted great and additionally the carrier itself is obtainable in any respect times. Observance moreover generally ties returned to the characteristic shop and records engineering because of what topics is whether or not or now no longer the underlying records has been changed from as soon as the version become closing trained.
Benifits of a Machine Learning Online Course in Noida:
- To look at and convert records technological know-how prototypes.
- To create and generate Machine Learning structures and schemes.
- To carry out implemented math evaluation and fine-song fashions victimization takes examination outcomes.
- To locate provided datasets for training functions.
- To teach and retrain metric potential unit structures and fashions as and as soon as necessary.
- To increase and increase current metric potential unit frameworks and libraries.
- To increase Machine Learning apps in step with purchaser/consumer wishes.
- To examine, test with, and put in force suitable metric potential unit algorithms and gear.
- To examine the problem-fixing abilities and use-instances of metric potential unit algorithms and rank them through their achievement chance.
- To discover and visualize records for better know-how and decide versions in records distribution that could affect version overall performance as soon as deploying it in real-international situations.
Machine Learning Tools:
- Microsoft Azure Machine Course Learning :
- IBM Watson :
- Google TensorFlow :
- Amazon Machine Learning :
- OpenNMS :
A cloud platform that allows builders to make, teach and install AI fashions. Microsoft is usually growing updates and upgrades to its devices getting to know gear and has currently proclaimed modifications to Azure Machine Learning, retiring the Azure Machine Learning paintings table.
No, IBM’s Watson Machine Learning isn’t one issue out of fictitious character. Watson Machine Learning is AN IBM cloud carrier that makes use of information to area devices getting to know and deep getting to know fashions into manufacturing. This device getting to know devices allows customers to carry out training and grading, 2 simple devices getting to know operations.
TensorFlow, that's hired for evaluation and manufacturing at Google, is AN ASCII textual content record laptop code library for dataflow programming. a reasonably-priced line, TensorFlow can be a device getting to know framework. This device getting to know devices is relatively new withinside the marketplace and is evolving quickly. TensorFlow's trustworthy visualization of neural networks might be the most attractive to builders.
It needs to come returned as no wonder that Amazon gives an effective style of devices getting to know gear. a disbursed carrier for growing Machine Learning fashions and generating forecasts. Amazon Machine Learning consists of AN automated information transformation device, simplifying the devices getting to know devices even greater for the person. Additionally, Amazon gives the opportunity devices getting to know the gear that is a fully-controlled platform that produces it trustworthy for builders and information scientists to make use of devices getting to know fashions.
The Open Neural Networks Library can be a laptop code library that implements neural networks. Written in C++ programming language, It gives you the perk of downloading its complete library for gratis from GitHub or SourceForge.
Objectives of Machine Learning:
1. Gets deleted Data Entry Manual :Double and wrong records are now one of all THE firms' pinnacle challenges. ML and predictive modeling structures can save you guide records access errors. By exploiting the received records, ML structures enhance those procedures. Employees can consequently use it concurrently to perform sports that provide a fee to the company.
2. Spam detection :The devices have been used for numerous years for getting to know to apprehend unsolicited mail. Email carrier carriers formerly hired pre-current, rule-primarily based unsolicited mail filtering structures. Spam filters, however, are more and more organizing new guidelines through unsolicited mail and phishing messages the usage of neural networks.
3. Recommendations on merchandise :In the improvement of product-primarily based recommendations, unattended getting to know allows. Today the bulk of e-trade websites appoint devices getting to know to make product guidelines. Here, ML algorithms are used to locate hidden styles and associated items collectively the usage of the shopping for records of clients and suit them with a massive product inventory. These merchandises are then proposed to clients, which motivates the acquisition of the product.
4. Financial assessment :ML might also additionally now be applied in monetary evaluation with sizeable volumes of quantitative and dependable historic records. In portfolios, algorithmic trade, mortgage underwriting, and detections of fraud ML are already being implemented in finance. But destiny ML programs in finance will consist of chatbots and different course conversational safety, purchaser care, and sentiment evaluation interfaces.
5. Acknowledgment of photo :Computer imaginative and prescient is nicely diagnosed for the cap potential for photo popularity to generate numerically and symbolic photograph records and different records of excessive dimensions. It consists of records mining, ML, sample popularity, and the invention of records from databases. ML is a vital part of photo popularity and is hired through corporations in numerous enterprises such as healthcare, automotive, etc.
6. Diagnostic Medical :ML assisted numerous healthcare organizations, the usage of superior diagnostic gear and powerful healing techniques, to decorate their affected person's fitness and reduce fitness care expenditures. Health care is presently used to provide nearly faultless diagnoses, foresee readmissions, endorse medicines, and pick out sufferers of excessive risk. The affected person statistics and records set collectively with the signs displayed through the affected person draw those forecasts and insight.
7. Customer pride increasing :ML can assist to enhance consumer loyalty and additionally offer a fantastic purchaser revel in. This is finished through leveraging beyond name records for purchaser conduct evaluation and thorough as it should be assigning the consumer requirement to the maximum suitable purchaser offerings manager. This cuts dramatically the charges and attempts spent in consumer relationships control. This is why massive agencies make use of predictive algorithms to make tips of merchandise to their clients.
Skills had to be a Machine Learning Engineer :
- Advanced diploma in pc Science/Maths/Statistics or a related discipline.
- Advanced maths and Statistics skills (linear natural mathematics, calculus, theorem statistics, suggest, median, variance, etc.)
- Robust information modeling and information layout skills. Programming knowledge in Python, R, Java, C++, etc.
- Knowledge of big information frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.
- Experience in running with cc frameworks like TensorFlow and Keras.
- Experience in running with several cc libraries and programs like Scikit analyze, Theano, Tensorflow, Matplotlib, Caffe, etc.
- Strong written and verbal communications
- Excellent social and collaboration skills.
Industry trends:
No-Code Machine LearningAlthough a good deal of devices getting to know is treated and installation the usage of laptop code, that is now no longer usually the case. No-code devices getting to know is a manner of programming ML programs while not having to undergo the lengthy and exhausting tactics of pre-processing, modeling, designing algorithms, accumulating new records, retraining, deployment, and greater. Some of the primary blessings are Quick implementation. Without any code had to be written or the want for debugging, the maximum of the time spent might be on getting outcomes rather than improvement. Lower charges. Since automation gets rid of the want for longer improvement time, massive records technological know-how groups are now no longer necessary. Simplicity No-code ML is less complicated to apply because of its simplistic drag and drop format. No-code devices getting to know makes use of drag and drop inputs to simplify the method into the following:
1.Begin with person conduct records
2.Drag and drop Training records
3.Use a query in simple English
4.Evaluate the outcomes
5.Generate a prediction report
TinyML:In a global increasingly more pushed through IoT replies, TinyML makes its way in with the general mish-mash. While monstrous scope gadgets becoming acquainted with programs exist, their ease of use in all decency is restricted. More limited-size programs are oftentimes important. It can require some investment for a web solicitation to deliver records to a gigantic worker for it to be prepared through gadgets becoming acquainted with a bunch of rules after which despatched returned. All things being equal, a more prominent appropriate strategy is most likely to apply ML applications on viewpoint gadgets.
By strolling more limited-size ML applications on IoT viewpoint gadgets, we can accomplish decline dormancy, declining energy consumption, decline required transfer speed, and ensure individual protection. Since the records would prefer not to be despatched out to records preparing focus, dormancy, data transmission, and energy admission are essentially diminished. Protection is similarly kept up with because the calculations are made locally.
AutoMLSimilar in objective to no-code ML, AutoML pursuits to make developing gadgets becoming more acquainted with programs more noteworthy convenient for manufacturers. Since gadgets becoming more acquainted with has wound up increasingly more gainful in various enterprises, off-the-rack answers were in unreasonable call for. Auto-ML pursuits to connect the distance by offering a helpful and simple answer that doesn't rely upon the ML subject matter experts.
Information researchers working on gadgets becoming more acquainted with drives should the awareness of preprocessing the records, developing elements, demonstrating, planning neural organizations if profound becoming more acquainted with is concerned withinside the undertaking, post-handling, and result from assessment. Since those obligations are extremely intricate, AutoML bears the cost of improvement through the use of templates.
Machine Learning Operationalization Management (MLOps)Machine Learning Operationalization Management (MLOps) is an activity of developing gadgets becoming acquainted with programming program replies with a point of convergence on dependability and productivity. This is a solitary way of improving the way that gadgets becoming acquainted with answers are progressed to lead them to more prominent advantages for organizations.
Machine becoming more acquainted with and AI might be progressed with traditional improvement disciplines, nonetheless, the particular inclinations of this period propose that it tends to be higher reasonable for an unmistakable methodology. MLOps bears the cost of a fresh out of the plastic new strategy that blends ML structures improvement and ML structures sending squarely into an unmarried consistent method.
Full-stack Deep LearningThe immense spreading of profound becoming acquainted with structures and venture wishes assuming you need to comprise of profound becoming more acquainted with replies into stock achieved the development of an enormous call for "full-stack profound becoming more acquainted with".
What is full-stack profound becoming more acquainted with? How about we consider you have incredibly affirmed profound becoming acquainted with engineers which have effectively made a couple of extravagant profound becoming acquainted with forms for you. Yet, legitimate after the acquaintance of the profound getting with know the rendition, it's miles just a few archives that aren't identified with the external global wherein your clients live.
General Adversarial Networks (GAN)ACTE time is a way of assembling more intense responses for executions comprising of separating among particular kinds of pictures. Generative neural organizations produce tests that should be looked at through discriminative organizations which throw unwanted created content. Like parts of government, General Adversarial Networks give tests and balances to the technique and development precision and unwavering quality. It's urgent to remember that a discriminative adaptation can't depict the sorts that it's miles given. It can most successfully utilize the restrictive chance to recognize tests among or more prominent classes. Generative styles awareness on what those classes are and disseminate joint possibility.
Payscale :
The normal pay for a Machine Learning Engineer is 814K in India. An entrance stage Machine Learning Engineer may likewise furthermore expect to acquire around Rs. 501,058 in sync with the year. At the point when he advances to the mid-stage position, the normal Machine Learning Engineer pay is Rs. 1,142,459 in sync with the year. As per the Center for Monitoring Indian Economy (CIME) insights, the joblessness charge has diminished from 11. nine rates in May 2021 to nine.2 rate in June 2021. For measure searchers, the IT venture has fanned out a pristine course of potential outcomes. The making of the contemporary state of the art innovation comprising of gadgets becoming acquainted with, robots, manufactured knowledge, distributed computing, etc has luckily made new expert opportunities for applicant laborers.
Key Features
- 40 Hours Course Duration
- 100% Job Oriented Training
- Industry Expert Faculties
- Free Demo Class Available
- Completed 500+ Batches
- Certification Guidance
Authorized Partners
Curriculum
Syllabus of Machine Learning Course in Noida
Module 1: Introduction to Data Analytics- Business Analytics, Data, Information
- Understanding Business Analytics and R
- Compare R with other software in analytics
- Install R
- Perform basic operations in R using command line
- Learn the use of IDE R Studio
- Use the ‘R help’ feature in R
- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
- Data sorting
- Find and remove duplicates record
- Cleaning data
- Recoding data
- Merging data
- Slicing of Data
- Merging Data
- Apply functions
- Reading Data
- Writing Data
- Basic SQL queries in R
- Web Scraping
- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing Graphs
- Basics of Statistics
- Inferencial statistics
- Probability
- Hypothesis
- Standard deviation
- Outliers
- Correlation
- Linear & Logistic Regression
- Introduction to Data Mining
- Understanding Machine Learning
- Supervised and Unsupervised Machine Learning Algorithms
- K- means clustering
- Anova
- Sentiment Analysis
- Decision Tree
- Concepts of Random Forest
- Working of Random Forest
- Features of Random Forest
Hands-on Real Time Machine Learning Projects
Project 1
Robotics Industry
This project was to make experts how to implement Machnine learning on robotics.
Project 2
TensorFlow
TensorFlow is one of the best and popular machines learning open source projects.
Our Top Hiring Partner for Placements
- We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
- We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
- After completion of 70% Machine Learning training course content, we will arrange the interview calls to students & prepare them to F2F interaction
- Machine Learning Trainers assist students in developing their resume matching the current industry needs
- We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
- We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge
Get Certified By Oracle & Industry Recognized ACTE Certificate
Complete Your Course
a downloadable Certificate in PDF format, immediately available to you when you complete your CourseGet Certified
a physical version of your officially branded and security-marked Certificate.About Experienced Machine Learning Trainer
- Our Machine Learning Training in Noida. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
- As all Trainers are Machine Learning domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
- All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
- Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
- Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Machine Learning training to the students.
- We have received various prestigious awards for Machine Learning Training in Noida from recognized IT organizations.
Machine Learning Course FAQs
Looking for better Discount Price?
Does ACTE provide placement?
- ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
- We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
- More than 3500+ students placed in last year in India & Globally
- ACTE 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 Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
Is ACTE certification good?
-
- Gives
-
- For Completing A Course
- Certification is Accredited by all major Global Companies
- ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
Work On Live Projects?
- The entire Machine Learning training has been built around Real Time Implementation
- You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
- GitHub repository and Showcase to Recruiters in Interviews & Get Placed
Who are the Trainers?
What if I miss one (or) more class?
What are the modes of training offered for this Machine Learning Course?
Why Should I Learn Machine Learning Course At ACTE?
- Machine Learning Course in ACTE is designed & conducted by Machine Learning experts with 10+ years of experience in the Machine Learning domain
- Only institution in India with the right blend of theory & practical sessions
- In-depth Course coverage for 60+ Hours
- More than 50,000+ students trust ACTE
- Affordable fees keeping students and IT working professionals in mind
- Course timings designed to suit working professionals and students
- Interview tips and training
- Resume building support
- Real-time projects and case studies
Can I Access the Course Material in Online?
What certification will I receive after course completion?
How Old Is ACTE?
What Will Be The Size Of A Machine Learning Batch At ACTE?
Will I Be Given Sufficient Practical Training In Machine Learning?
How Do I Enroll For The Machine Learning Course At ACTE?
- 50+ [REAL-TIME] Nutanix Interview Questions and Answers
- 50+ [REAL-TIME] SAP PS Interview Questions and Answers
- 50+Wipro Interview Questions and Answers
- 50+ REAL-TIME Clobal Interview Questions and Answers
- 50+ REAL-TIME Microsoft Dynamics 365 Interview Questions and Answers
Recent Interview Questions & Answers
Job Opportunities in Machine Learning
More Than 35% of Individuals Favor Machine Learning. Machine Learning Stands Out as One of the Most Popular and Sought-after Technologies in the Tech Industry.
You can Work as a
Upcoming In-Demand Jobs
Salary In Machine Learning
- Data Analyst ₹3 LPA - ₹5 LPA
- Machine Learning Engineer ₹4 LPA - ₹6 LPA
- Business Intelligence (BI) Analyst ₹4.5 LPA - ₹6.5 LPA
- AI Engineer ₹5 LPA - ₹7 LPA
- Deep Learning Engineer ₹6 LPA - ₹8 LPA
- Machine Learning Consultant ₹7 LPA - ₹10 LPA
- Machine Learning Research Scientist ₹8 LPA - ₹12 LPA
- Robotics Engineer ₹9 LPA - ₹13 LPA