HOME > COURSES
MACHINE LEARNING WITH PYTHON FOR DATASCIENCE 60 hours ₹ 48,000₹ 60,000 20% Discount

About the Trainer:

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.

  • Maths intuition for each algorithm
  • Dimensionality Reduction – Factor Analysis
  • Discriminant Analysis
  • Supervised Algorithms
  • Unsupervised Algorithms
  • Semi supervised Algorithms
  • Bias variance Trade off
  • Clustering
  • Ensemble methods
  • Hyper parameter Tuning
  • Regularization
  • Optimization Techniques
  • Model Development
  • Model Evaluation using Performance Metrics
  • Model Deployment in cloud environment
  • Topic wise case discussion and related programs

  • Avail Live Instructor-Led Online Class for Machine Learning Course.
  • Gain thorough knowledge in ML.
  • Hands on session will be provided for each topic with due homework and assignments.
  • Each session is packed with related content, hands-on learning, and opportunities to ask questions.
  • We will provide Top 100+ Latest Machine Learning Interview Questions & Answers.
  • Vpntraining solutions will conduct Mock Interview on Machine Learning Algorithms towards the end of this Course.
  • We will assist you to build your resume according to your Skill Set & Experience.
  • Course Duration is 60 hrs with total Hands-on Training.
  • Our hands-on learning method not only helps you learn faster but also helps you see how quickly to apply your knowledge.
  • Weekdays classes will be for 1 hr starting from 6.30 am IST to 9 pm IST and weekend classes will be for 2 hrs between 10.30 am to 9 pm IST.
  • Flexible timeslots can be chosen.
  • You can choose 1:1 Online Classes for EDA Course at your flexible timing.
  • Distinct batch for Fresher’s and Experienced Candidates will be provided.

Sudhanshu Mathurr

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

Sujeevana

I enjoyed the course and learned a lot from it. The content is well organized and focused on practical situations.

24 May, 2022

Masimukkula Jyothika sai

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

Udit Sinha

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

Basra Jehangir

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

Vemulakonda Divya

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

Gandikota Naga praharsha

Good explanation with good projects and felt great while explaining doubts and regular checking on students for their work.

19 May, 2022

Jeet Gautam

She discusses each topic in detail and concludes them with relevant practical examples which makes it easier to understand them.

19 May, 2022

Rishab Kulkarni

The course was really good. Understood each of the concepts explained by ma'am. Great experience overall.

19 May, 2022

Marri Teja sai chand

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/