• Admissions Open :
Vignan's Foundation for Science, Technology & Research | Sage University | Hindustan Institute Of Technology & Science | Sandip University | Venkateshwara Open University | Suresh Gyan Vihar University | MIT School of Distance Education | GNIOT University | Manipal University

PG Certification in Machine Learning

About Program

  • Hours of Live Classes


  • Class Type

    Online Class

  • Batch Size


  • Eligibility


  • Course Duration

    3 Months

  • Batch Start From


Program Overview

The PG Certificate Programme in Machine Learning and Data Science is designed to equip learners with advanced concepts and skills needed for contemporary data analytics roles.

Linux for Data Science, Python Foundations, Machine Learning Prerequisites, Getting Started with SQL, StatisticsFoundations.

Python with Data Science- PySpark, Python, NumPy, SciPy, Matplotlib, Pandas, Python script, Python variables.

Introduction to Machine Learning, Supervised Learning - Classification, Supervised Learning - Classification II, Unsupervised Learning - Clustering, Recommendation System, Machine Learning, ML Deployment in Cloud.

Introduction to Deep Learning, Getting started with Tensorflow 2.0 with Tensor Board, Image Classification using CNN, TensorFlow Hub for Object Detection using Faster RCNN, Tensorflow for Deployment, Convolutional Neural Network, Recurrent Neural Network.

Introduction to NLP with Spacy, Analyzing and Segregating the News Headlines, Building a Resume Classifier, Building an Intent-Based RASA Chatbot, NLP in Production, Encoder-Decoder Network for Neural Machine Translation, Recent Innovations in Language Models.

Statistical Foundations, Probability, Inferential Statistics, Regression, Predictive Analytics.

Doubt Clearing Session + End Course Test, Apply your knowledge of data science and Machine learning to a real-life scenario.

  • Course Fee : ₹ 30,000/-

  • Curriculum

    Machine Learning is a specific subset of Artificial Intelligence that trains a machine how to learn. This course provides a broad introduction to machine learning. We focus on imparting in-depth knowledge and understanding the several aspects of machine learning in this course.