About the Course
Hands-on practice materials, labs, quizzes, and tests to learn how to utilize the skills and knowledge gained on the course and interact with some real-life programming tasks and situations. We will cover use cases from Health care, Banking and Retail Domains.
Detailed Structure of Course
Python
· Basics of programming in python
· General Computer Programming concepts and techniques
· Object Oriented Approach
· Understanding Python Ecosystem
Machine Learning
· Foundation of Probability
· Discrete Probability Distribution
· Probability and Statistics Hands-on
· Data Handling & Preprocessing Techniques
· Linear Regression
· Logistics Regression
· KNN, K-Means Algorithm
· NAÏVE BAYES Algorithm
· Time Series Algorithm
· Hierarchical Clustering
· SVM, Stacking and Boosting
· Decision Tree Algorithms
· Ensemble Techniques
· Unsupervised Learning Algorithms
· Project Hands-on
Artificial Intelligence
· Introduction to Deep Learning (DL)
· Deep Learning Algorithms
Artificial Neural Network
Convolutional Neural Network
Recurrent Neural Network
· Building DL Application with Keras backend with Tensorflow
· Projects Hands-on
Natural Language Processing (NLP)
· Text Mining Algorithms
Processing, Retrieval, Ranking and Indexing
Chat Bot & Twitter Data Analytics
· Introduction NLP Packages and Algorithms
· Principal Component Analysis
Visualization
· Types of Data Visualization
· Statistical Analysis
· SQL Basics
· Introduction to Tableau
· Dashboard Creation and Joining tables in Tableau
Cloud Deployment
· Model and Deployment in Google Cloud