Python: On completion of the training, participants will be able to successfully learn implementation of python. They Will be able to work up on software projects.
Machine Learning: After completion of Machine Learning classes the students will be able to create and optimize algorithms.
No experience is required, however basic knowledge of C will be an added advantage.
Practical hands-on on above topic
Create two 1D array, add the two array and show the result using NumPy array
Create two 2D array, calculate the sum and multiplication of two arrays
Download a csv file from Kaggle.com and read the file as well as analysis the file using Pandas different functions
Regression and Classification using Scikit-learn
Practical Hands-on on above topic
Classification using Naïve Bayes
Practical Hands-on on above topics
Introduction to Deep Learning and Neural Network
Concept of calculator & it’s code development.
Practical on above topics