IIT Roorkee Certificate Programme in Machine Learning

Topics Covered
• Intro to Machine learning
• Types of learning and common machine learning algorithms

Learning Outcome
In this module, you will get an overview about different machine learning algorithms.

Topics Covered

• Linear regression
• Logistic Regression
• KNN and Decision trees
• Performance measures in classification algorithms
• Naïve Bayes
• SVM
• Ensemble Learning
• Clustering algorithms
• Hyper parameter tuning, GridSearch CV
• Dimensionality reduction, PCA
• ML Pipelines
• Case Studies

Learning Outcome
In this module, you will learn about different Machine Learning algorithms and their applications. You will get hands-on practice with your very first predictions using Machine Learning models.

Topics Covered
• Need of text analytics & text cleaning
• Obtaining inferences through text: WordCloud, bigrams, trigrams
• Vectorizing text
• Text classification

Learning Outcome
Learn to work with the unstructured text data. Learn about how to extract meaningful insights from text data and prepare the data for Machine Learning models.

Topics Covered
• Introduction to TensorFlow and Neural nets
• Perceptron training with Keras
• Deep neural networks

Learning Outcome
Get introduced to the concept of a neuron and how multiple neurons can be used to construct an Artificial Neural Network. You will learn about various building neural networks using TensorFlow and Kera.

Topics Covered
• Introduction to CNN
• Binary Classification with CNN
• Multiclass classification with CNN
• Transfer learning and pre-trained models
• Object Detection
• Case Studies

Learning Outcome
Deep Learning is a class of Machine Learning algorithms that progressively extract features for better understanding of the problem. One of the popular applications of Deep Learning is in image recognition. You will learn how to build complex image recognition and object detection models and apply them to solve business use cases.

Topics Covered
• ML Model lifecycle
• ML deployment
• Deploying models on AWS and Azure

Learning Outcome
Learn about machine learning model deployment using APIs on AWS and Azure.