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The Machine Learning Course with Python by KnowledgeHut in Delhi is a 48-hour, instructor-led live training course. In this course, you will learn data exploration, and various Machine Learning approaches like supervised and unsupervised learning, regression, and classifications. Visualize data using Python and libraries like Pandas, Matplotlib, and Scikit.
..... Read more48 Hours of Live Instructor-Led Sessions
80 Hours of Assignments and MCQs
45 Hours of Hands-On Practice
10 Real-World Live Projects
Fundamentals to an Advanced Level
Code Reviews by Professionals
Most organizations are looking for professionals who can use data sets to extract strategic forecasts. This has created a demand for Data Science, making it one of the top jobs of LinkedIn’s Emerging Jobs Report for the last three years. Learn the most in-demand machine learning and Python skills and stand out among your peers.
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Our immersive learning approach lets you learn by doing and acquire immediately applicable skills hands-on.
Learn theory backed by real-world practical case studies and exercises. Skill up and get productive from the get-go.
Get trained by leading practitioners who share best practices from their experience across industries.
Our Data Science advisory board regularly curates best practices to emphasize real-world relevance.
Webinars, e-books, tutorials, articles, and interview questions - we're right by you in your learning journey!
Six months of post-training mentor guidance to overcome challenges in your Data Science career.
Learn about the various libraries offered by Python to manipulate, preprocess, and visualize data.
Learn Machine Learning with Python, including Supervised and Unsupervised Machine Learning.
Learn to use optimization techniques to find the minimum error in your Machine Learning model.
Learn about Linear and Logistic Regression, KNN Classification and Bayesian Classifiers.
Study K-means Clustering and Hierarchical Clustering.
Learn to use multiple learning algorithms to obtain better predictive performance .
Understand Neural Network and apply them to classify image and perform sentiment analysis.
Learning objectives
In this module, you will learn the basics of statistics including:
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In the Python for Machine Learning module, you will learn how to work with data using Python:
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Get introduced to Machine Learning via real-life examples and the multiple ways in which it affects our society. You will learn:
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Gain an understanding of various optimisation techniques such as:
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In this module you will learn about Linear and Logistic Regression with Stochastic Gradient Descent via real-life case studies
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Learn about unsupervised learning techniques:
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Learn the ensemble techniques which enable you to build machine learning models including:
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Learn to build recommendation systems. You will learn about:
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KnowledgeHut’s Machine Learning with Python workshop is focused on helping professionals gain industry-relevant Machine Learning expertise. The curriculum has been designed to help professionals land lucrative jobs across industries. At the end of the course, you will be able to:
The program is designed to suit all levels of Machine Learning expertise. From the fundamentals to the advanced concepts in Machine Learning, the course covers everything you need to know, whether you’re a novice or an expert.
To facilitate development of immediately applicable skills, the training adopts an applied learning approach with instructor-led training, hands-on exercises, projects, and activities.
This immersive and interactive workshop with an industry-relevant curriculum, capstone project, and guided mentorship is your chance to launch a career as a Machine Learning expert. The curriculum is split into easily comprehensible modules that cover the latest advancements in ML and Python. The initial modules focus on the technical aspects of becoming a Machine Learning expert. The succeeding modules introduce Python, its best practices, and how it is used in Machine Learning.
The final modules deep dive into Machine Learning and take learners through the algorithms, types of data, and more. In addition to following a practical and problem-solving approach, the curriculum also follows a reason-based learning approach by incorporating case studies, examples, and real-world cases.
Yes, our Machine Learning with Python course is designed to offer flexibility for you to upskill as per your convenience. We have both weekday and weekend batches to accommodate your current job.
In addition to the training hours, we recommend spending about 2 hours every day, for the duration of course.
There are no prerequisites for attending this course, however prior knowledge of elementary Python programming and statistics could prove to be handy.
To attend the Machine Learning with Python training program, the basic hardware and software requirements are as mentioned below
Hardware requirements
Software Requirements
System Requirements
On adequately completing all aspects of the Machine Learning with Python course, you will be offered a course completion certificate from KnowledgeHut.
In addition, you will get to showcase your newly acquired Machine Learning skills by working on live projects, thus, adding value to your portfolio. The assignments and module-level projects further enrich your learning experience. You also get the opportunity to practice your new knowledge and skillset on independent capstone projects.
By the end of the course, you will have the opportunity to work on a capstone project. The project is based on real-life scenarios and carried-out under the guidance of industry experts. You will go about it the same way you would execute a Machine Learning project in the real business world.
The Machine Learning with Python workshop at KnowledgeHut is delivered through PRISM, our immersive learning experience platform, via live and interactive instructor-led training sessions.
Listen, learn, ask questions, and get all your doubts clarified from your instructor, who is an experienced Data Science and Machine Learning industry expert.
The Machine Learning with Python course is delivered by leading practitioners who bring trending, best practices, and case studies from their experience to the live, interactive training sessions. The instructors are industry-recognized experts with over 10 years of experience in Machine Learning.
The instructors will not only impart conceptual knowledge but end-to-end mentorship too, with hands-on guidance on the real-world projects.
Our Machine Learning course focuses on engaging interaction. Most class time is dedicated to fun hands-on exercises, lively discussions, case studies and team collaboration, all facilitated by an instructor who is an industry expert. The focus is on developing immediately applicable skills to real-world problems.
Such a workshop structure enables us to deliver an applied learning experience. This reputable workshop structure has worked well with thousands of engineers, whom we have helped upskill, over the years.
Our Machine Learning with Python workshops are currently held online. So, anyone with a stable internet, from anywhere across the world, can access the course and benefit from it.
Schedules for our upcoming workshops in Machine Learning with Python can be found here.
We currently use the Zoom platform for video conferencing. We will also be adding more integrations with Webex and Microsoft Teams. However, all the sessions and recordings will be available right from within our learning platform. Learners will not have to wait for any notifications or links or install any additional software.
You will receive a registration link from PRISM to your e-mail id. You will have to visit the link and set your password. After which, you can log in to our Immersive Learning Experience platform and start your educational journey.
Yes, there are other participants who actively participate in the class. They remotely attend online training from office, home, or any place of their choosing.
In case of any queries, our support team is available to you 24/7 via the Help and Support section on PRISM. You can also reach out to your workshop manager via group messenger.
If you miss a class, you can access the class recordings from PRISM at any time. At the beginning of every session, there will be a 10-12-minute recapitulation of the previous class.
Should you have any more questions, please raise a ticket or email us on support@knowledgehut.com and we will be happy to get back to you.
Machine Learning is the field of science that uses the concepts of Artificial Intelligence to help the systems get the ability to learn, perform, and improve the given set of tasks. These systems do not require any human help or reprogramming. The area of Machine Learning focuses on developing computer programs and systems that will be able to access data, analyze and learn all on their own, without any human intervention.
When it comes to Machine learning, the processes that are used include observing the available data using examples or direct experience to derive information. The systems and programs then analyze this data to decipher the pattern. To help in making better decisions in the future, these observed patterns need to be extrapolated. All of this is done just on the basis of the datasets and the examples provided to the computer system.
There are several major algorithms in the field of Machine Learning that can be categorized into the following categories-
1. Supervised Machine Learning Algorithms
The supervised machine learning algorithms use labeled examples to take the information taken from the past data and apply them to the new data for predicting events in the future. This is how the whole process goes down:
2. Unsupervised Machine Learning Algorithms
The Unsupervised Machine Learning Algorithms are used when the data that is provided to the system for the learning and training of the system is unlabelled and unclassified. Here is how the unsupervised machine learning algorithms work:
The vibrant city Delhi bustles with some of the best companies to work for and is home to several leading companies, such as Gaana, OLX, Indiamart, Lava, Samsung, etc. All these companies are looking for expert ML engineers to help them designing and developing Machine Learning Systems.
The basic concept of Machine learning revolves around computers and data. 90% of the data on the internet has been created since 2016, according to an IBM Marketing Cloud study. A huge amount of this data is taken, analyzed and used in training systems to solve problems and obtain the best possible outcome for a problem. Basically, it solves a problem without us even knowing that it exists. It has a particular approach to a problem that helps in solving it.
It is no surprise that machines are faster than human problems. They can get a solution faster than we can understand the problem. For example, if there are a million options for a problem, a machine will be able to systematically resolve, evaluate, and work out all the options to give you the best possible result with the help of the right algorithm.
Machine Learning has been used in several real-world applications. It has offered a solution to several problems. It helps save time, money and efforts by driving business. People are able to use Machine Learning to get the work done in a more appropriate, effective, and efficient manner. Many industries have started to incorporate Machine Learning and are benefitting from it. Some examples include transport, nursing, health care, banking, government institutions, finance, customer service, etc.
Tons of data is generated every day. And now that we have started using data for decision making, it is changing everything we know. From small startups to large MNCs in Delhi, all the companies are trying to use the data for their own benefits. This data-driven decision making is reshaping the business and will continue to do so in the near future.
The state of Machine Learning in companies and in your daily life
Machine Learning is a new field of the tech world and still, a lot of research is required to harness the field. Over the years, tech experts have been trying to find ways to make use of Machine Learning. Social Media feeds shown by Facebook and Instagram, Product recommendations on Amazon, detection of financial fraud in banks, surge pricing in uber are some of the many functionalities of the Machine Learning algorithms. Day by day these systems are able to function with less human interference.
In some way or another, knowingly or unknowingly, every person is using one or the other product of Machine learning. It has become an inevitable part of every profession, especially the ones involved in the field of Data Science and Information Technology.
Here are some of the benefits of Machine Learning that you should know -
In a report published by Tractica, in the year 2016, the services driven by Artificial Intelligence were found to be of $1.9 billion worth. By the year 2025, this number is expected to increase to reach about $19.9 billion. Every corporation in the world is trying to use Machine Learning in their decision-making process. The domains of Machine Learning and Artificial Intelligence are expanding to every industry. This has led to more and better career opportunities in the present as well as future.
Payscale published a report in which it stated that a machine learning engineer can earn up to an average of about Rs. 7,25,000 per year in Delhi.
Even though Machine Learning is in such a huge demand, there are not enough qualified Machine Learning engineers available. This has led to a huge gap between demand and availability. The Chief Information Officers (CIOs) of some huge corporations in the world have pointed out this skill gap. However, this also means that if you have Machine learning skills, not only will you be in demand but you would also be paid quite handsomely. And this demand is only going to increase in the future. There are several companies in Delhi that are hiring Machine Learning engineer including Genpact, Boston Consulting Group, Adobe, Accenture, American Express, dunnhumby, Ericsson-Worldwide, Amazon, VMware, Expedia Group, Oracle, Orange, Saavn, Telesoft Technologies, Hike, BlackRock, etc.
Most of the industries around the world are dealing with more data that they can handle. And this production of data is only going to increase in the future. Companies are quick to get the benefits of data analysis. Through this, not only are they working competently and efficiently but they are also getting ahead of their competitors.
If you want to work in the field of Machine Learning, the time is right since all the fields are looking for Machine Learning engineers. These fields include healthcare, finance, oil and gas, transportation, and government agencies.
Machine learning is a huge and diverse field that is expanding every day. There are a number of certification courses in Delhi that will help you learn Machine Learning including:
However, you can also learn the field through self-learning as long as you are motivated and keep the following in mind:
Below are the steps you can follow:
What is important is that you solve machine learning problems daily to polish your skills and incorporate an out-of-the-box thinking approach to a simple solution.
One of the best ways to get started with Machine Learning is to connect with other professionals. Here is a list of Machine Learning meetups in Delhi where you can connect with other Machine Learning Engineers:
If you are an absolute beginner, here is a 5 step process to help you get started with Machine Learning-
In Delhi, companies like cube26, Pinnacle Digital Analytics, GoPaisa, Fitfyles, Sentieo, Ank Aha, Bobble App, iNICU Medical Private Limited, Saffron Consultancy Services, Wingify Software Pvt Ltd, Secninjaz, Fintech, Sumo Logic, Mobileum, ByteDance, Genpact, etc. are looking for Machine Learning professionals with suitable experience that will help the organization make crucial marketing decision.
If you want to become a successful Machine Learning engineer working on developing successful machine learning projects, you need to have the following technical skill sets:
The steps required for executing a successful Machine Learning project with Python are mentioned below:
Once you have followed all the above-mentioned steps, you would have created and executed the machine learning project successfully.
Algorithms are one of the most integral parts of the Machine Learning field. It is very important that you completely understand the concepts of Machine Learning algorithms. Here is how you can do that-
When you are a beginner in the field of Machine Learning, you need to understand the concept of K Nearest Neighbors algorithm. It is a simple and uncomplicated algorithm that will help you get started in the field of machine learning. The aim of the problem is to predict the class of a data point from a totally multiclass dataset using the K Nearest Neighbor algorithm.
It is one of the simplest machine learning algorithms. When it comes to classification problems or problems with a huge number of regressions, K Nearest Neighbor algorithm has proven to be very useful and successful. It can be used for image analysis as well as character recognition.
Whether you need to learn machine learning algorithms or not depends on what you want to do with machine learning.
The Machine Learning Algorithms can be categorized into the following 3 categories -
The simple machine learning algorithms can be used to solve the simple ML problems. An algorithm can be defined as simple if it has the following characteristics:
Now, based on the above-mentioned criteria, the simplest algorithm in the field of machine learning is the k-nearest neighbor algorithm. Here are some reasons what makes the kNN algorithm the simplest machine learning algorithm and is still extensively used for solving basic, but real-life problems:
When it comes to machine learning, there are a lot of algorithms, models, and tools that you can select from. But before you select an algorithm that is the backbone of your project, you need to keep certain things in mind, including the following:
To design and implement a machine learning algorithm using python, you need to follow the below mentioned steps:
All the basic concepts of machine learning are required for you to work on a machine learning project. Here we have narrowed down the most essential topics of machine learning that one needs to master to get thoroughly acquainted with machine learning:
Advantages of decision tree methods:
Some of the advantages of this algorithm include:
The median salary of Machine Learning Engineer in Delhi is ₹8,75,635/yr. The Range differs from ₹3,76,000 to as high as ₹11,60,000
The average salary of a machine learning engineer in Delhi compared with Bangalore is ₹8,75,635/yr whereas, in Bangalore, it’s ₹8,00,000/yr.
Cities near Delhi have reported an average salary of ₹6,50,000/yr for machine learning engineers. Although most of these cities have an average less than that of Delhi, Gurgaon has a high average of ₹10,10,000/yr.
According to a recent study done by Research and Markets, the global machine learning market is anticipated to grow from $1.4B in 2017 to $8.8B by 2022. It is also revealed that ML patents have seen a huge development of about 344% in the last 3 years. The majority of these licenses were under colossal tech organizations like Microsoft and Facebook who additionally have a base in New Delhi and are continually hoping to update themselves. Besides, New Delhi is itself, home to a few top tech organizations. These companies are looking for talented engineers who can utilize machine learning to deliver the best outcomes. So, yes, machine learning engineers are in high demand in Delhi.
Having the most attractive job among engineers in the 'National Capital of India' has its very own advantages
Delhi offers endless opportunities due to the fact that it gives a massive exposure to all kinds of technology. Moreover, this allows the engineer to figure out where to go, what to use and how to deliver an apt result. So not only are you getting high package salaries, but there are added bonus, acknowledgement, networks and career stability.
Although there are quite many companies offering jobs to Machine Learning Engineers in Delhi, following are the prominent companies -
S.No | Conference Name | Date | Venue |
1. | International Conference on Artificial Intelligence, Machine Learning and Big Data Engineering (ICAIMLBDE) | June 23rd, 2019 | Hotel Suncourt Corporate, 6A/67, WEA, Channa Market, Karol Bagh, New Delhi,110005 |
2. | International Conference on Robotics, Machine Learning and Artificial Intelligence (ICRMLAI) | June 23rd, 2019 | Hotel Suncourt Corporate, 6A/67, WEA, Channa Market, Karol Bagh, New Delhi,110005 |
3. | International Conference on Data Management, Analytics and Innovation - ICDMAI 2020 | 17-19 January, 2020 | United Services Institute (USI) Rao Tula Ram Marg, Shankar Vihar, New Delhi, 110010 |
S.No | Categories | Registration Fee For Author outside of India | Registration Fee For Author of India |
1. | Authors (Academician/Practitioner) | 300 USD | 9200 INR |
2. | Authors (Student M.tech/Ph.D.) | 250 USD | 7200 INR |
3. | Authors (B.Tech) | 200 USD | 6200 INR |
4. | Listeners: | 70 USD | 3000 INR |
5. | Additional Paper (s)** | 100 USD | 5000 INR |
6. | Additional Page | 50 USD / One Page | 1500 INR / One Page |
7. | Extra Proceeding | 100 USD | 1000 INR |
7. Who are the major sponsors:
S.No | Categories | Registration Fee For Author outside of India | Registration Fee For Author of India |
1. | Authors (Academician/Practitioner) | 250 USD | 9000 INR |
2. | Scholars (Ph.D./Post Doc.) | 200 USD | 7000 INR |
3. | Student(All Masters degree holders) | 180 USD | 6000 INR |
4. | Student(All Bachelors degree holders) | 150 USD | 5000 INR |
7. Who are the major sponsors:
The responsibilities of a Machine Learning Engineer include:
Delhi is not only home to several leading tech companies but there are more than 5000 startups in the capital, including Snapdeal, Limetray, Hike, Ecom, Lenskart, etc. Delhi has been able to generate $2.8 Billion of funding during the first half of the previous financial year. It is a great time for being a Machine Learning Engineer in Delhi. As more and more companies these days are adopting artificial intelligence technologies, Machine learning engineers are in high demand.
Some of the ML job roles in demand are:
Below are some ways to network with other Machine Learning Engineers in Delhi:
The average salary for a Data Scientist with Machine Learning skills in New Delhi, Delhi is Rs 725,000.
https://www.payscale.com/research/IN/Job=Data_Scientist/Salary/fe9d8204/New-Delhi-Machine-Learning
Here's how you can start using Python for mastering Machine Learning:
The top essential Python libraries used to implement machine learning with python include:
Here we have compiled the steps required to execute a successful machine learning project using python:
Here are the 6 best tips to learn python programming as a beginner:
Thanks to its big, open-source community; Python has several libraries for you to play with. Here are the best Python libraries essential for Machine Learning:
About Delhi
Delhi is a delightful tapestry of medieval monuments, marvelous Mughal architecture, and busy old-world bazaars that exist harmoniously alongside high rises and glitzy modern malls. As the capital city of India, in Delhi rests the seat of political and economic power. Delhi and the adjacent National Capital Region are the largest business and commercial center of northern India. This region has attracted both the best companies as well as great talent that come to the capital city looking to grow and prosper.
Learn Machine Learning with Python in Delhi
Candidates seeking to build their career will benefit from pursuing e-learning programs in data analysis using Python course in Delhi. Attaining this certification will ensure that you remain highly employable and experience career growth. KnowledgeHut provides this training via online classes where programmers are given an exhaustive overview of both theory and practical aspects of the subject.
Python finds industry-wide acceptance and is a preferred language of many developers. Easy to learn and use, several organizations use this tool to build applications. However, to build a game or a web app, programmers need to enroll for formal training like the Machine Learning using Python course in Delhi to get a full grasp on the subject and can create effective applications or products.
Keeping Ahead of the Curve
Taking up the Machine Learning with Python Course in Delhi is a remarkable way to stay ahead of the curve because this program ensures they have enhanced employment along with the potential of higher income. Developers can join the KnowledgeHut online classes, led by industry veterans who make sure that there is seamless knowledge transfer, and the students build capability in this space.
KnowledgeHut Empowers You
Machine Learning training using Python is available at a great price in Delhi. The online modules, conducted by KnowledgeHut provide superior training enabling developers to become highly proficient and can ace an exam with absolute ease.