Name: Dr. V.P. Nanthini Sundar
Degree: Ph.D
Total Experience: 14+ Years
Average Rating of this course: 5 / 5
Know More @: https://www.vpntrainer.com/About.html
Machine learning has many practical applications that you can use in your projects or on the job.
This course will typically describe the various types of Machine Learning algorithms and explain the
context to use them. It compares and contrasts linear classification methods including multiclass
prediction, support vector machines, and logistic regression. Develop python project that implements
various classification techniques including K-Nearest neighbors (KNN), decision trees, and
regression trees. You will also learn the maths intuition for each algorithm and to evaluate the
results from simple linear, non-linear, and multiple regression on a data set using evaluation
metrics.
This course will equip you as an expert ML Engineer to predict day to day manual tasks. This will
teach you how to work with predictive analytics in an efficient manner to build applications using
the latest Python techniques. You will acquire wide practical exposure to expand your business /
company by enhancing your existing application with this well curated comprehensive Machine Learning
course.
This course is open to both engineering and arts college students. Upon successful completion they
will certainly get a good job with nice package. And is suitable for working professionals as well
who wish to have their domain change. This course is for everyone being fresh graduates, pre final
year trying for placements (both computer and non computer engineering / arts), UG, PG to be
graduates, working professionals seeking for domain change/ new offer with nice package and for
professors from any department and research scholars, and to all UG, PG students who wish to do
final semester project using Python. 30+ End to End projects will be taught and new challenges will
be given based on participants wish to make them try on their own.
Clear explanation of Machine Learning with adequate hands on implementation. Different projects for implementing EDA was very helpful. Able to clearly understand all methods of supervised, unsupervised and reinforcement machine learning. Understood how to compare and analyse reports using classification report, confusion Matrix, accuracy scores etc.
24 May, 2022
I enjoyed the course and learned a lot from it. The content is well organized and focused on practical situations.
24 May, 2022
Sessions were very informative and interactive. I got to learn about the in-depth working of the algorithms. I got to do a lot of Hands-on projects with the trainer's help.
23 May, 2022
Ma'am has thorough knowledge about all the topics. She explains every topic, both basic and advance, with detailed presentations. Thank you so much for your support. Highly recommended to all.
23 May, 2022
The mentor has complete knowledge of the subject and the class are interactive as well. The concepts are made clear by explaining each and every term from the very basic level and the hands on exercises have also helped in making the concept very clear.
22 May, 2022
Very good experience, very excited. New skills, Introduced to new topics New technologies. Interesting. Thank you so much for your support. Highly recommended to all.
22 May, 2022
Good explanation with good projects and felt great while explaining doubts and regular checking on students for their work.
19 May, 2022
She discusses each topic in detail and concludes them with relevant practical examples which makes it easier to understand them.
19 May, 2022
The course was really good. Understood each of the concepts explained by ma'am. Great experience overall.
19 May, 2022
I completely loved the course and the way it's been taught in the very deepest possible way. Every topic is discussed in detail along with great visualization of variables. All the basic concepts in python were covered and also the Ml concepts from basic to an advanced level were covered in great detail. I am currently working in cognizant as a data science Intern and I am from Hyderabad.
17 May, 2022
Contact Dr. V. P Nanthini Sundar to proceed further!
☎
Mobile Number: +91 9176784926
✉
Email ID:
support@vpntrainer.com
LinkedIn: https://www.linkedin.com/in/dr-v-p-nanthini-sundar-31370161/