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Home / ML on Cloud / Machine Learning Course in Noida
"As one of the hottest aspects of computer science, the Machine Learning market is projected to grow from $7.3 billion in 2020 to $30.8 billion in 2024."- (Source). Look around and you will see we are amidst the perfect storm for the growth in the field of Machine Learning, a subset of Artificial Intelligence. Machine learning & Artificial Intelligence are going to change the way we interact with everything in our environment. Both technologies when coupled together aid in processing operations with the utmost accuracy. Industries around the world, have realized the prospects of Machine Learning and are adopting it as a core technology. With new advancements in this field, Machine Learning is extensively implemented to make predictions and get valuable insight into business decisions and operations. So, grab hold of your business class ticket and soar into the most exciting careers in data analysis with this course.
Total Duration
3 Months
Prerequisites
This course in Noida is structured to impart machine learning skills using the two most popular programming languages Python and R. This course enables the student to perform Data Wrangling, Data Cleansing and Data Mining (Supervised and Unsupervised) on structured as well as unstructured data. Python and R can be used as statistical software to develop regression analysis algorithms and other statistical computations in machine learning. Apprehend different machine learning algorithms like Black Box techniques, Neural Networks, and Support Vector Machines. The students will be able to build prediction models with Amazon Machine Learning Services in the machine learning. Present reports to management with Data Visualization software, Tableau. This course in Noida covers all the basic as well as advanced concepts of ML with hands-on experience with live projects that will allow you to work and gain experience on the real-time practical concepts. This training will help you skyrocket in your Artificial Intelligence career with the twin engines of Python and R programming. Join our Machine Learning using Python and R program and learn to script winning Machine Learning algorithms in Python and R. Use Python and R to enable regression analysis and to build predictive models. Orient yourself with Black Box techniques like Neural Networks and SVM in this course. What is Machine Learning? Every time we create new technology, we create a bigger buzz. Two major technologies sweeping the market are Artificial intelligence (AI) and Machine learning (ML). Machine Learning is a subset of Artificial Intelligence that focuses on designing systems that enable a machine to perform tasks without explicit coding. All the Artificial Intelligence advancements we hear about and the applications we see are all a result of Machine Learning Algorithms. Machine-learning Algorithms use a huge amount of data and statistics to find patterns and inferences it collects from the statistical models and complex algorithms.
Machine Learning is a process that uses Artificial intelligence to facilitate learning by creating an experience for the machines. This process starts with feeding good data into the machine and then training the machines with the help of various machine learning models and different algorithms. It can handle any amount of data by setting up cloud solutions and data centers. This way it saves time and allows organizations to use the relevant data for better efficiency. Machine Learning is making quite an impact and has managed to grab the attention of many companies, because of its powerful computational processing abilities, continuously filtering the growing volumes of huge data sets, and offering affordable data storage options. In this course, the students will be exposed to the landscape of Machine Learning and its archetype of supervised and unsupervised learning. Students will explore the process of investigating data to solve predictive tasks, such as speech recognition, object recognition, automatic algorithm configuration, time series forecasting, machine translation, and much more. Students will also understand the popular machine learning approaches and the underlying mathematical relationships between the various algorithms. This course will also give students a chance to understand the fundamental issues and challenges of machine learning which include data, model selection, and model complexity. Further, explore how to-
Block Your Time
24 hours
Classroom Sessions.
60 hours
Assignments
Live Projects.
Who Should Sign Up?
Each module encapsulates the essential tools to impart machine learning skills using the two most popular programming languages Python and R. You will learn how to establish a gateway between different databases with R and Python and also how to connect to external sources of data. One of the major modules of Data Science is Machine Learning. Learn about the various modules that make up Machine Learning using the two most popular tools R and Python. As a data scientist one will be engaged in a multitude of data mining techniques in both supervised and unsupervised learning. One of the major variants of the same is reinforcement learning that enables machines to learn through rewards. Get introduced to all the supervised techniques of prediction and classification; learn about the major unsupervised learning methods and the application of reinforcement learning in Data Mining.
Learn two of the most powerful programming languages used in Data Analytics. Both R and Python are the top two tools used by Data Analytics professionals world over. Start learning from the very basics, right from installation and work your way up through simple commands, writing small functions and programs.
Both R and Python can connect to a wide variety of data sources. Under this module, learn how to establish a gateway between different databases with R and Python. Also, learn how to connect to external sources of data.
One of the major modules of Data Science is Machine Learning. Learn about the various modules that make up Machine Learning using the two most popular tools R and Python. Get introduced to the broad overview of ML and the various quality metrics with the help of R and Python.
In the real world, oftentimes, the datasets cannot be used as such and some amount of preprocessing activity needs to be done. Imbalance in the output classes is one of the common problems where sometimes the proportion may be as lopsided as 95% to 5% or even higher. Learn about the various methods and algorithms to address this problem of imbalanced data sets.
One of the integral parts of learning Data Science and working on Analytics projects is the sound understanding of Statistical tools. In this module learn about the need to know statistical measures and their application in Data Science. Also, learn how to visualize the data in a concise form to derive various meaningful insights.
The essence of analytics is to be able to get the story from the data. And for the data to be able to truly be useful one needs to munge the raw data to make it legible. Using tools like R and Python, learn how to manipulate data from the raw form to make it ready for subsequent ML algorithms. The topic is all the more important in the current context given that a lot of data is moving to the unstructured format.
Both R and Python while being classified under the object-oriented programming languages category, still require some traditional approach to programming whereby the user-defined function needs to be spelled out and the use of conventional program snippets is of utmost importance. In this module, learn how to create simple to complex user-defined functions and hone your programming skills in the context of machine learning.
As a data scientist one will be engaged in a multitude of data mining techniques in both supervised and unsupervised learning. One of the major variants of the same is reinforcement learning that enables machines to learn through rewards. Under this module, get introduced to all the supervised techniques of prediction and classification; learn about the major unsupervised learning methods and the application of reinforcement learning in Data Mining.
Under supervised learning one of the most popular methods of predicting numeric data is linear regression and for classifying categorical data is logistic regression. These two methods will be covered in detail under this module. And the participant will be introduced to multiple examples using R and Python.
Under the classification modeling, decision trees method has a special place even though they are not truly classification modeling techniques but rule-based algorithms. The popularity of Decision trees is in its simplicity, high accuracy, and most important the ability to explain behind- the- scenes working of the algorithm. Under this module, the participant will be introduced to working with Decision trees using R and Python.
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In today's world of Big Data where various technologies and digital platforms have only accelerated the generation of data, the question many are fighting to answer is how relevant is all this data. The emergence of Machine Learning has solved the puzzle of larger than life ‘Data’. Machine Learning has become the heart of several social media platforms and is everywhere in this digital era helping you filter your spam messages and unwanted emails, helping you organize and classify your photos, helping you go shopping based on your product preferences, booking a hotel, the list is endless. Machine Learning has become an essential part of making predictions, getting valuable insight into business operations and providing solutions to the problem of the information era.
According to the current trend it is estimated that between 80 percent to 90 percent of all basic customer-service requests will be handled by AI. Surpassing the movie, coffee, and LED lighting industry, Machine Learning is expected to become a $120,000,000 industry by 2025. This powerful technology has walked into our everyday lives and has empowered us in meaningful ways and has created more job opportunities that are set for rapid growth. A career as a Machine Learning engineer offers many career opportunities and it is reported that Artificial Intelligence and Machine Learning Fields are expected to create 2 million job opportunities by 2020. So, avail world-class training in Noida and step into the world of opportunities with the course on Machine Learning
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Get validation of your advanced skills and knowledge with the Machine Learning using Python & R. Join the growing community of developers and data scientists trained on Python & R with the best machine learning course in Noida.
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"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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You must have a very strong background in mathematics, particularly in linear algebra and calculus. You must also be proficient in probability and calculus. Programming knowledge in Python /R/C++ and Java is a must. It is good to have knowledge of distributed computing and advanced signal processing techniques.
Students must possess a Bachelors's degree in Mathematics/ Statistics / Computer Science / Data Science or a Bachelors's degree in Engineering (any discipline). Students pursuing MCA can also apply for this course.
Once the assignments have been submitted the student receives a Course Completion Certificate. After this he can enroll for internship with AiSPRY. Here he will work on a live project for 60 hours. Once he completes his internship , he will receive an internship certificate.
The learning outcomes of this course are
The modules in the course include:
360DigiTMG offers one of the best Machine Learning program in Noida. This course gives the student live project exposure in AiSPRY.
The student must possess basic knowledge of mathematics and statistics. In addition, he must possess fundamental knowledge of computer science and data science.
This course has a duration of three months of which 24 hours are devoted to classroom sessions, 60 hours to assignments and e-learning and 60 hours on a live project.
On completing all the assignments and attending all classroom sessions you will receive a course completion certificate.
We assign a mentor for each student at the commencement of the course. If the student requires additional help we provide extra mentors.
The student will be trained on Python, R and R Studio in this course.
We provide 100% placement assistance. We assist the student in resume preparation and conduct mock interviews. We float the resumes to placement consultants with whom we have long standing association with. Once the student is placed we offer technical help for the first project on the job.
For beginners the salary would range between Rs.4 lakhs to Rs.5 lakhs.
With three plus years of experience a machine learning engineer can earn Rs 7.5 - 12 lakhs per annum.A Machine Learning Data Associate will earn between Rs.2.3 - 3.54 lakhs per annum.
We record all our classroom sessions and upload the videos in our Learning Management System AISPRY. If you miss a class you can source the video from AISPRY.
We have uploaded several free webinars on youtube on machine learning. These can be accessed from the link given below
https://www.youtube.com/channel/UCNGIDQ466bNY87eEeKeQuzA
With training in Machine learning from Noida you will be able to work as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, Human-Centered Machine Learning Designer, the list is endless.
A Machine Learning Engineer in India gets an average salary of ?692,000, while someone with 2-4 years of experience gets ?790,597. An expert ML Engineer with 12-20 years of experience earns a whopping average compensation of ?1,817,135.
It’s always a plus to have hands-on experience in any technology you are working on. There are many projects one can work on using Machine Learning like Loan Prediction, Stock price prediction, Wine quality tests, Uber data analysis, Credit card fraud detection, etc.
The various tools in machine Learning help you work efficiently with data to derive valuable insights, discover new methods to train your model, and create new algorithms. In this course, we will use the various tools offered in Python and R for Machine Learning.
The course in Noida is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Today we use Machine Learning applications across various domains and the interesting features of Machine Learning have become the heart of many platforms. In the healthcare sector, we use it for drug discovery, in finance for fraud detection, in travel for pricing, in social media for implementation of various applications.
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
4.8
I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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