Machine Learning Training in Pune - Updated [ June 2022 ]
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Machine Learning Training in Pune

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Learn from Certified Experts

  • Immersive Practical Training with Realistic Scenarios.
  • 1,800+ Experts Trained on Machine Learning.
  • Training in nominal costs by Industrial Machine Learning Expert.
  • Endurance access for Student’s Portal, Study Materials, Videos & Interview Question.
  • Endurable Fee structures with a well-organized Machine Learning course Curriculum.
  • Delivered More than 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Machine Learning Batch to Begin this week – Enroll Your Name Now!

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INR 18000

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INR 20000

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Upcoming Batches

08- Aug - 2022
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

10- Aug - 2022
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

13- Aug - 2022
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

13- Aug - 2022
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

LEARNER CAREER OUTCOMES
62%
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40%
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Learn at Home with ACTE

Online Courses by Certified Experts

Get Our Knowledgeable Machine Learning Course in Pune

  • We Implement Candidates to Fulfill their Dream job with Help of a tech career and with Convenient Programming Skills and IT Skills.
  • Acquire to Obtain Trending updates and Formulas, Graphs, Publishing Reports and Dashboards, Data Models in the Power BI Program from the faculties.
  • You will not solely gain information on Machine Learning and Advanced tools however conjointly gain exposure to trade best practices, ability & SoftSkills.
  • Experienced Trainers and lab Facility.
  • Professional Certificate Program in Machine Learning steerage Support with examination Dumps.
  • For the company, we have a tendency to act as a one-stop recruiting partner. We offer the proper virtuoso candidates who are productive right from day one.
  • We provide a well Organized and Thorough course and Make You a More Valuable Employer for The Company.
  • Concepts: Data Analytics, R programming, data Manipulation in R, Data Import techniques in R, beta data Analysis, Basics of Statistics & Linear & logistic Regression, data Mining: clump techniques, Regression & Classification, ANOVA & Sentiment Analysis, Data Mining: Decision Trees and Random Forest, Project work.
  • START YOUR CAREER WITH A MACHINE LEARNING COURSE THAT GETS YOU EMPLOYMENT OF UPTO 5 LACS IN PRECISELY 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

Machine Learning might be a brilliant professional way. With regards to a 2019 report in this way, Machine Learning Engineer is the top occupation as far as profit, development of postings, and general interest. Machine Learning is the sparkling star of the moment. With every business attempting to utilize AI in their area, learning AI opens a universe of freedoms to foster driving edge Machine Learning.

Since research and investigation are significant components of construction measures that can't be finished while not true examination computations, Machine Learning with Python has acquired a huge impact through this market. Consequently, competitors who have sound data in Machine Learning with Python can get enough open doors in Pune. Additionally, having a Machine Learning affirmation will build the probabilities of being used.

In ACTE Machine Learning classifications, you'll learn about:
  • Basics of utilizing the data to prepare machines.
  • The portrayal of a man-made neural organization.
  • Direct relapse with various factors utilizing Python.
  • Strategic relapse for ordering data utilizing Python.
  • Backing Vector Machines calculations.
  • Planning a Machine Learning framework.
Become familiar with the proposed abilities. Before you'll have the option to start getting work in AI it'll be important for you to achieve knowledge with an approach to assemble utilization of AI:
  • Contests.
  • Building your ventures.
  • Open stockpile projects.
  • Produce an AI diary.
  • Hackathons.
  • Consider a cantonment.
  • Visit organizing occasions.gement.

Machine Learning Jobs are highly popular across the MNCs universally. ML and AL accreditations are the incredibly esteemed information Technology Certification inside the whole business. It gives promising vocation possibilities. Man-made intelligence and AI occupations have bounced by almost 75% in recent years and are ready to remain developing. Following an AI occupation might be a hard determination for a lucrative profession that will be popular for a long time.

  • Knime.
  • Accord.net.
  • Scikit-Learn.
  • TensorFlow.
  • Weka.
  • Pytorch.

Machine Learning courses differ in each sum from a half year to a year and a half. Notwithstanding, the program varies with the kind of degree or certificate you choose for. You remain to acknowledge respectable information on Machine Learning through half-year courses that may offer you admittance to passage-level situations at prime organizations.

What is the Machine Learning with Python market pattern in Pune?

India's top package organizations have the majority of their activities through this city. The principal focal point of global organizations through this Pune has created an immense rivalry which may be overseen by breaking down the economic situations. AI with Python programming fills this need, and the wannabes eager to become significant information Scientists should learn Machine Learning with Python.

What are the necessities of a Machine Learning Training Course?

After this Oracle DBA Online Training, the significant areas where you excel are as follows:

This Machine Learning course needs comprehension of fundamental insights and math at the school level. Experience with Python writing computer programs is moreover helpful. You should comprehend these fundamental courses just as Python for Data Science, Arithmetic Refresher, and Statistics Essential for Data Science, before venturing into Machine Learning on the web course.

What skills will you acquire from this Machine Learning Course?

On with progress completing our AI course, you'll be a forerunner in it with the underneath abilities:
  • Expert in directed and unattended learning thoughts and Modeling.
  • Gain information on the numerical and parts of AI.
  • Comprehend the activities of Support vector machines, straightforward. relapse, call tree, K-closest neighbors, and K recommends that cluster.
  • Achieve useful dominance over the Principles, calculations, and AI.

How would I turn into a Machine Learning Engineer?

This course can offer you a whole outline of Machine Learning strategies, enough to organize you to hang out in your next part as a Machine Learning Engineer. You'll procure Machine Learning confirmation which will validate your new abilities and hands-on experience. Get acquainted with relapse, grouping, factual displaying, and bunch.

How is python used in Machine Learning?

Python offers compact and clear code. While uncertain calculations and soft work processes remain behind AI and Python's effortlessness permits designers to record dependable frameworks. Python code is reasonable for people, which makes it simpler to make models for Machine Learning.

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Overview of Machine Learning Training in Pune

Machine learning algorithms can be used to gather understanding of the cyber phenomenon that generated the data under study, abstract understanding of the underlying phenomena in the form of a model, predict future values of a phenomenon using the above-generated model, and detect anomalous behaviour exhibited by a phenomenon under observation.There are a number of open-source implementations of machine learning algorithms that can be used with either API calls or non programmatic applications. Weka,1 Orange2, and RapidMiner3 are examples of such implementations. The output of such algorithms can be fed into visual analytic tools like Tableau4 and Spotfire5 to generate dashboards and actionable pipelines. Machine Learning provides a computer-based idea that needs to adapt learning and acquire experience. It is a data analysis process that automates the building of the analysis model. ACTE offers training concepts for machinery and trains students as experts in the field. It offers the best machine learning course in Pune with professional trainers who provide real-time training and projects for applicants for better knowledge.

 

Additional Info

Top 5 Machine Learning Trends:

Machine Learning is one technology that has grown in popularity over time! If you are in any way connected to the tech industry (and sometimes even if you aren't! ), you've probably heard of the popularity of Machine Learning and Artificial Intelligence. Machine Learning is being used by an increasing number of companies, including Google (as expected) and Netflix (Wow!) as well as smaller companies that use ML algorithms to extract insights from data. There are numerous new innovations and Machine Learning Trends that may emerge. There are already many applications of Machine Learning in the industry, such as its integration with the Internet of Things, as well as its more widespread use in industries such as cybersecurity, finance, medicine, and so on. According to a Salesforce Research survey, 83 percent of IT leaders believe that Machine Learning and Artificial Intelligence are improving customer engagement. This clearly demonstrates that ML as a technology is gaining traction.

The Intersection Of ML and IoT:- IoT is already a well-established technology in which multiple devices or "things" are linked across a network and can communicate with one another. These devices are becoming increasingly common, to the point where there may be more than 64 billion IoT devices. All of these devices collect data, which can then be analysed and studied to gain valuable insights. That is where Machine Learning comes into play! Machine Learning algorithms can be used to transform data collected by IoT devices into actionable results.

Automated Machine Learning:- Automated Machine Learning is the next stage of Machine Learning development! It's a godsend for both newcomers to the complex world of Machine Learning and seasoned data scientists and analysts. Using Automated Machine Learning, these data scientists can create Machine Learning models with greater efficiency and productivity while maintaining high quality.

Machine Learning in Cyber Security:- Machine Learning is becoming increasingly popular in recent years, and its applications in a variety of industries are expanding. One of the most well-known is the cyber security industry. Machine Learning has numerous applications in cyber security, including improving available antivirus software, combating cybercrime, identifying cyber threats, and so on.

Rise of AI Ethics:- There have already been numerous controversies surrounding AI Ethics. The most well-known was when Amazon discovered in 2018 that their Machine Learning-based recruiting algorithm was biassed against women. Because it was trained on data with the majority of candidates being men, the algorithm favoured men over women. Another recent scandal occurred in 2020, when Google fired Dr. Timnit Gebru, a prominent researcher on racial bias in technology who was investigating bias in Google's AI systems.

AI Engineering:- Everyone has heard of software engineering, but now AI engineering is on the rise as a career! This is a significant development because the integration of Artificial Intelligence and Machine Learning in the industry has been haphazard and ad hoc, with no best practises regulations in place. As a result, Gartner predicts that only 53% of AI and ML projects will make it from prototype to full production in a company, with the remaining 47% failing.

Job Roles and Responsibilities in Machine Learning :

Data Scientists are primarily concerned with generating valuable insights in order to drive business growth through data-driven decision making. Machine Learning Engineers, on the other hand, focus on creating self-running software for predictive model automation. In such models, each time the software performs a function, the results of that operation are used to perform future operations more accurately. This constitutes the software's "learning" process. Netflix and Amazon's recommendation engines are the best examples of this type of intelligent software.

  • To investigate and transform data science prototypes.
  • Machine Learning systems and schemes must be designed and developed.
  • Using test results, perform statistical analysis and fine-tune models.
  • To locate available datasets for training purposes on the internet.
  • To train and retrain ML systems and models as needed.
  • Extending and improving existing machine learning frameworks and libraries.
  • To create Machine Learning apps based on the needs of the customer/client.
  • To investigate, test, and implement appropriate ML algorithms and tools.
  • To rank ML algorithms based on their success probability after analysing their problem-solving capabilities and use-cases.
  • To investigate and visualise data in order to gain a better understanding and identification.

Advantages of Machine Learning:

  • Easily identifies trends and patterns:- Machine Learning can analyse large amounts of data and identify specific trends and patterns that humans would miss. For example, an e-commerce website like Amazon uses it to understand its users' browsing habits and purchase histories in order to provide them with the most relevant products, deals, and reminders. It uses the results to show them advertisements that are relevant to them.

  • No human intervention needed (automation):- You don't have to supervise your project every step of the way with ML. Giving machines the ability to learn allows them to make predictions and improve algorithms on their own. Anti-virus software is a good example of this; it learns to filter new threats as they are identified. ML is also adept at detecting spam.

  • Continuous Improvement:- As ML algorithms gain experience, their accuracy and efficiency improve. This enables them to make more informed decisions. Assume you need to create a weather forecasting model. Your algorithms learn to make more accurate predictions faster as the amount of data you have grows.

  • Handling multidimensional and multi-variety data:- Machine Learning algorithms are adept at dealing with multidimensional and multivariate data, and they can do so in dynamic or uncertain environments.

  • Wide Applications:- You could be an e-tailer or a healthcare provider and use ML to your advantage. Where it does apply, it has the potential to help customers have a much more personalised experience while also targeting the right customers.

  • Reusability and inclusion:- SAs previously mentioned, Selenium test suites can be reused and tested on several browsers and operating systems. The difference is, however, whether Selenium is not a comprehensive testing tool for Web automation. Therefore, the scope of testing must be enlarged by third party frameworks and add-ons.

  • Flexibility:- In testing the life cycle, test management is extremely important. With Selenium characteristics, such as grouping and repairing of test cases, it becomes easier and more efficient. This helps developers and testers change the code quickly, reduce duplication, reduce complications and improve maintenance. These characteristics make Selenium more flexible and usable than other testing tools for automation and thus help to preserve an edge.

  • Parallel testing and rapid marketing:- Automated testing aims primarily to save time and effort. By using the Selenium Grid, multiple tests can be performed in parallel and thus the test time is reduced. You can parallel test through as many as hundreds of browsers using Selenium with the help of cloud grids for cross-browser testing.

  • Unused Hardware:- Compared with other vendor-oriented automation instruments such as QTP, UFT, and SilkTest, Selenium requires less hardware compared with other test tools.

  • Learning and using Easy:- Selenium scripts isn't a kind of 100-page complicated algorithm writing. Writing scripts for selenium is just writing some codes to automate your website's functionality. Documents on the Selenium website are also very good at starting the Selenium automation testing for developers and testing providers. Selenium tutorials, testing and development aid is only a Google search away, with the radically growing community. You can also use record and play functionality to generate Selenium scripts for future reference with the Selenium IDE extension on the Firefox browser.

  • Continuous updates:- Selenium is supported by a community, which we all know does not stay in an active community, so Selenium is constantly updating and updating the community. The best thing about having a Community is that these upgrades are easy to understand and readily available. This makes Selenium resourceful and cost-effective in comparison with other tools.

Machine Learning Career Scope:

Following the acquisition of the necessary ML skills, the top five promising Machine Learning career paths that you can pursue are as follows:

Machine Learning Engineer:- As previously stated, a career as a Machine Learning Engineer is one of the most coveted and promising in the field of Data Science. Machine Learning Engineers are primarily responsible for designing and developing ML systems and applications using ML algorithms and tools. It is their responsibility to shape and develop efficient self-learning ML applications through statistical analysis and fine-tuning with test results. They also conduct and run ML experiments in a variety of programming languages, including Python, Java, Scala, R, and C++, to name a few.

Data Scientist:- Data Scientists are high-profile experts who collect, store, process, analyse, and interpret massive amounts of data using advanced technologies (such as Big Data, AI, ML, Deep Learning, and so on) and analytical tools on a daily basis. Their primary responsibility is to extract valuable insights from large datasets and convert them into business value.

NLP Scientist:- The goal of natural language processing (NLP) is to give machines the ability to understand natural human languages. NLP scientists are primarily in charge of designing and developing machines and applications that can learn human language speech patterns and translate spoken words into other languages. The goal is for machines to understand human languages as naturally as humans do. NLP applications such as Grammarly and Duolingo are excellent examples.

Software Developer/Engineer (AI/ML):- Intelligent computer programmes are created by software developers/engineers with AI/ML specialisation. Their primary responsibility is to create effective ML algorithms and applications. Software Developers/Engineers create specific computer functions; prepare product documentation, flowcharts, layouts, diagrams, charts, etc. for visualisation; write and test code; create technical specifications, upgrade and maintain systems, and much more.

Human-Centered Machine Learning Designer:- Machine Learning has a distinct branch dedicated to developing ML algorithms that are centred on humans. As a result, the term Human-Centered Machine Learning was coined. Human-Centered Machine Learning Designers are in charge of developing intelligent systems that can "learn" individual humans' preferences and behaviour patterns through information processing and pattern recognition. To account for every conceivable user scenario, these systems require little or no human intervention or even cumbersome programmes. The Recommendation Engine on Netflix and Amazon is an excellent example of Human-Centered Machine Learning.

Characteristics of Machine Learning:

  • Data scientists are valued:- In terms of strategy, the MMLO has already justified (and hired) the use of a data scientist. It has prepared the data environment so that data scientists can be effective. Following the realisation of the benefits, the company has gone a step further and hired additional data scientists. When a new data scientist is hired, the documentation and defined business goals (which adhere to reasonable, established constructs in the data environment) allow these new scientists to get up to speed in weeks, not quarters.

  • ML is a normal part of every project:- The project specification process in the MMLO includes a checkpoint to ensure that ML is appropriately considered for major projects. Every project or architectural review will include people with ML knowledge and leadership skills. It would be easy to maintain the status quo, use long-familiar working processes, and continue to rely solely on legacy approaches, but a mature ML organisation understands that ML must be specifically included today.

  • Models and data are actively managed:- The MMLO catalogues all models as they progress through their life cycle, allowing models to be reused and leveraged rather than being "one and done." The data environment is also mature, with enterprise data catalogued, accessible, performing as expected, and well-managed. This means that all enterprise data, as well as relevant external data, is captured and used. It denotes the presence of data warehouse and data lake infrastructures, as well as a data catalogue that captures the location of information. It indicates that the enterprise's commitment to the cloud is genuine, and that the data governance programme is pervasive across major subject areas.

  • It takes ML configuration and transparency seriously:- Mistakes in ML configuration can be expensive, resulting in wasted efforts and computing resources. Mistakes can lead to production problems. Manual errors, as well as omissions and oversights in the model that lead to waste, are uncommon in a mature ML shop. In these shops, ML systems are transparent, with a special emphasis on cases that have the potential to result in loss, harm, or damage to the company. Their models are consistent and predictable, with auditable and reproducible results. The MMLO recognises the importance of being able to repeat experiments and obtain similar results. Unused and redundant settings are detectable in the mature ML operator's environments.

  • Testing and model maintenance are needed for well-functioning systems:- Mature ML operators take their processes to a whole new level. Access to models is restricted. Naturally, code should be tested, but the mature ML operator understands that some data testing is also required for a well-functioning system. Mature ML operators perform data testing to monitor changes in data distribution. The mature environment allows current goals to repurpose existing models. Instead of starting from scratch, the MMLO can add features to differentiate a new model. The use of a repository for models, as well as robust model packaging, deployment, serving, and monitoring, are all part of the ML process.

  • Ethics is not an afterthought:- MMLO AI programmes have ethical frameworks in place to ensure that ethics and security are prioritised. For example, while not yet perfected, these programmes have taken steps to eliminate the possibility of malicious use of ML, which could include cyber attacks, deployment of physically destructive force, deep privacy invasion, or the application of undue influence.

Salary Package of Machine Learning:

Machine Learning is in high demand, but companies require individuals to have the necessary skill sets. These engineers are always in high demand. The list goes on and on. That is the primary reason for the high machine learning salary in India. The constant increase in demand. Furthermore, the higher the salary, the better the experience. According to Payscale, the average machine learning salary in India is approximately Rs. 686,281 per year, including bonuses and profit-sharing. It is a well-known fact that the larger the brand or company, the higher the salary an individual can expect. Let's take a look at some of the highest-paying jobs – Tata Consultancy Services Limited pays a salary of approximately Rs. 4,42,000 per year. It is followed by Intel Corporation, which has a market capitalization of Rs 20,00,000.

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Key Features

ACTE Pune offers Machine Learning Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.
 

Curriculum

Syllabus of Machine Learning Course in Pune
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
Module 2: Introduction to R programming
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors
Module 3: Data Manipulation in R
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions
Module 4: Data Import techniques in R
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping
Module 5: Exploratory data Analysis
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs
Module 6: Basics of Statistics & Linear & Logistic Regression
  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression
Module 7: Data Mining: Clustering techniques, Regression & Classification
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering
Module 8: Anova & Sentiment Analysis
  • Anova
  • Sentiment Analysis
Module 9: Data Mining: Decision Trees and Random Forest
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest
Module 10: Project work
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Hands-on Real Time Machine Learning Projects

Project 1
MNIST Digit Classification Machine Learning.

The goal of this project is to create a model that will be able to recognize and determine the handwritten digits from its image by using the concepts of Convolution Neural Network.

Project 2
Stock Price Prediction using Machine Learning.

The recent trend in stock market prediction technologies is the use of machine learning which makes predictions based on the values of current stock market indices.

Project 3
Bitcoin Price Predictor Project.

The Project aim to understand and find daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price.

Project 4
Uber Data Analysis Project.

This project objectives is to characterize the demand based on identified patterns in the time series and estimate the value of the NYC market for Uber.

Our Best Hiring Placement Partners

ACTE is certify around the world. It expands the worth of your resume and you can accomplish driving position posts with the assistance of this affirmation in driving MNC's of the world. The certificate is just given after fruitful finishing of our preparation and pragmatic based undertakings
  • 100% work blueprint for the right competitors. totally a task organized course, which covers the particular progression beginning from the incredibly key and stroll around the obvious level and, thusly, it gives huge degree of information in solitary turn of events.
  • After satisfaction of half computerization enlightening class content, we will put together the get-together calls to understudies and set them up to f2f correspondence.
  • We will send learner Resumes to affiliations work learner land position, we out and out help work learner &land learner dream position.
  • We are associated with top affiliations like Google, CTS, TCS, IBM, and so on it make us prepared to put our understudies in top MNCs across the globe.
  • We have separate understudy's passageways for condition, here you will get all the get-together plans and we enlighten you through messages.
  • Machine Learning guides help understudies in empowering their resume arranging with the current business needs.

Get Certified By Machine Learning & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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a downloadable Certificate in PDF format, immediately available to you when you complete your Course

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a physical version of your officially branded and security-marked Certificate.

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About Skillful Machine Learning Trainer

  • Our Machine Learning Training in Pune. We change our associations to student outstanding standards, with a solid spotlight on intricate agreement and anticipating significant length exercises.
  • Instructors awaken up-and-comers understanding by showing them by and large on the most notable moves close , offering Learners with the Best Machine Learning Training planning to the candidates.
  • We have gotten particular excellent qualifications for Machine Learning Training in Pune from reviewed that IT affiliations.
  • Delivered by ensured tutors and specialists each with over 10+ significant length of association.
  • Our Tutor is all through instructed about being understudy attracted and finishing tasks to hit cutoff times and targets.
  • Trainers are besides assist competitors with getting set in their particular relationship by expert reference/inner using measure.

Machine Learning Course Reviews

Our ACTE Pune Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Hasya

Software Engineer

ACTE is one of the best institutes in Porur for Machine Learning as their learning process starts from the very basic and then keeps on getting complex. The internship really helps me to gain more knowledge in real-time projects. If anyone is looking to do a Machine Learning / Data Science/ Artificial Intelligence course I would highly recommend this institute.

Emmanual Phyaz

Student

Actually i went through Machine Learning course in ACTE institute,i am very happy to say that i learned total concepts of Machine Learning ,here the way of teaching is good and sir will interact with students ,if we have any doubt sir will clarify ,its good institute to learn Machine Learning concepts in Pune.

Mugunthan

Machine learning classes taught by the ACTE classes are excellent. They guided me very well in the project. They have shown the right path for the industry ready. Thankyou very much to ACTE Institute in Velachery.

Pavithra

Student

ACTE is the best place to kick start Machine Learning and other Data Science courses in Anna Nagar. Their guidence is good and at the same time providing better lab practice.Which helps you make informed predictions and assure you to move forward,Honestly, I would definitely recommend this place for Data Science with Python, Data Science using R,Big Data,Machine Learning,Business Analytics..

Venila

This is good Machine Learning training institute in Chennai.This institute provided training on all latest modules in Machine Learning , Big Data and Data Science Class room and online.Got training on solving real world problems

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Machine Learning Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • 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
ACTE
    • Gives
Certificate
    • 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
  • 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
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

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
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Machine Learning batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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