Concept of Data Structures, data objects in Python and debugging.
List, tuple and important their important methods.
Dictionary and its important method.
Sets and its important method.
Looping, nested techniques technique in data structures.
Flow control: if, if-else, for, while, range () function, continue, break.
Understanding classes in Python.
Using classes for creating data objects as per convenience.
Introduction to Numpy for Scientific Calculation
Introduction to OpenCV and important libraries
Image Processing using OpenCV, Object Detection with OpenCV
Understanding and processing text data
Automated Tagging. Semantic Search Algorithms
Latent Diriclet Allocation or, Topic Modelling, Text classification
Introduction to NLG (Natural Language Understanding)
Writing speech-based functions for machines to understand using Python
Creating a sample trained bot to take human input in English and follow the instructions.
Introduction to Named Entity Recognition (NER) using LSTM
Introduction to NLG (Natural Language Generation) for generating meaningful/desired text/sentences
Understanding Language models
Hidden Markov Models
Introduction to Transfer Learning
Using pre-trained model Transformer Library. (BERT)
Project – Making of Chatbot
Project – Making a Chatbot
Online + Offline
How would Kochiva's Python Crash Course transform you?
Kochiva's Python Crash Course is exclusively designed to provide Live Internship like experience to the students to make them ready for real-world jobs.
Ideal for College Summer Internship Trainings
Live Projects with real time numbers and real clients
In-Job Mentors to give hands-on
Frequently Asked Questions?
If you are interested in our course, you can simply fill up the enrollment form available on the website. Very soon, Kochiva’s Admission Counselling Team shall get in touch with you.
Anyone who has the fire to code and basic knowledge of how IT works can go ahead with the programme. Our Programmes are beginner-friendly.
One needs to have an active internet connection with at least 1 Mbps download speed. One also needs to have a working laptop/desktop pc with the following specifications. 1. 1 GHz Processor 2. 4 GB RAM 3. 120 GB Hard Drive 4. Microphone 5. WebCam
There is no selection criteria for Kochiva's Python Crash Course. Any engineering student can enrol for the course.
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