"Become A Python Professional With Our Programme In Just 90 Days"
( Build 40+ Projects )
Benefits Of Our Full Access Membership
- Learn Python, ML, DL, Django, DS, From Basics
- Build 35+ Real Time Projects ( 100% Practical )
- Instant Access Of Our Portal ( For Lifetime )
- 200+ Hrs And Downloadable Resources
- Instructor Led Live Training
- Certificate Of Completion and Job Opportunities
- Access to Private Group
What You Will Get Inside The Course ?
Module - 1 ( Python Basics )
- Introduction, Variables, Data Structures, Lists, Tuples, Dictionaries, Decision Making, Loops, Functions, File Operations, Python Modules, Introduction To Numpy, Introduction To Matplotlib, Introduction To OpenCv, OOPS, Exercises.
Module - 2 ( Advanced Python )
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Python Modules and Contributed Modules (Matplotlib, Numpy and Pandas) for data handling and preprocessing
• Introduction to python modules and application
• Inbuilt essential python modules (datetime, math, os and etc)
• Creating own customized modules
- Exercise from numpy for data processing
Image Processing with OpenCV
• Pixelwise Operations • Drawing Functions • Color Spaces • Point Processing and Operations • Thresholding •Color Segmentations
• Neighborhood Operations and Filters • Morphological Operations • Video Loading and Processing •Image Transformations
• Geometric Transformations • Contour Operations
Project : Plant Height Detection using color segmentation and contour operations
Machine Learning with Scikit Learn
• Introduction to Machine Learning, Supervised Machine Learning • Identifying Features and Labels • Classification and Regression Problems • Machine Learning Algorithms in detail (Regression, Classification, Clustering, Dimensionality Reduction Algorithms) • Introduction to K Nearest Neighbor Classifier • Euclidean Distance • Choosing the optimal K value
Project : Character Recognition using K Nearest Neighbor Algorithm
Web framework development with Flask
• Introduction to Python Web-frameworks • Introduction to Python Backend development with Flask • Flask Routes, URL bindings and HTTP Methods • Template Rendering and Static Files • Request Objects, Data Transfer, and File uploading • Loading the trained Neural Network models and Machine Learning Models into the backend
• Deployment of Python backends in local server
Module - 3 ( Building 5 Python Projects )
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1. Building Real Time Face Recognition GUI Application
2. GUI Email Sender
3. Student Management System GUI
4. Search Application
5. Music Player
Module - 4 ( Building 7 Intermediate GUI Python Projects )
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1.Chatbot
2.Movie Description 3.Talking Dictionary
4.Restaurant Management System with sending email
5.Professional Login and Registration Form
6.On Screen Keyboard
7.Typing Master ( Pygame )
Module - 5 ( Machine Learning With 5 Projects )
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Machine Learning Concepts With 5 Projects
Introduction to Machine Learning, Supervised ML, Introduction to nearest Neighbours classifier, and handwritten digits recognition.
Project 1 - Handwritten digits recognition - PC App/Web App Development using tkinter and flask.
Project 2 - Face Recognition using support vector machine and principal component analysis.
Project 3 - Predicting the risk of having heart disease using linear regression.
Project 4 - Brain Tumor Detection using color segmentation with KMeans Clustering.
Introduction to object detection with cascade classifier and 68 landmarks detection algorithm
Project 5 - Vehicle detection and counting using cascade classifiers
Module - 6 ( Deep Learning With 4 Projects )
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Part - 1 Introduction to Deep Learning, Supervised Deep Learning, Introduction to feed forward neural networks.
Project - 1 Handwritten Digit Recognition (Web App Development Using Flask with feed forward neural networks
Project - 2 Introduction to Convolution Neural Networks and Face Mask Detection with Convolutional Neural Network
Project - 3 Covid-19 Positive and Negative Detection Web Application With X-Ray Images Using Convolutional Neural Networks
Project - 4 Custom Object Detection Using Tensorflow Object Detection API
Module - 7 ( Building And Deploying HealthCare Chatbot )
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It is a healthcare chatbot.
It is designed to handle all user inputs.
It can recognize more than 280 symptoms.
It can also recognize more than 445 health issues.
It has detailed information about the health issue includes name, description, possible symptoms, treatment, and medical condition of the health problem.
It can be deployed on any platform such as website, mobile apps, IoTs etc.
Module - 8 ( Building One Major Project ) - Search Engine
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Building Your Own GUI Search Engine Similar To Chrome Features.
You can Search Any Query it will give top results in sorted order.
It will also save history of your searches
If internet connection is not available it will open dino game you can play same feature available in google.
You can also customize your search results ( Check images )
4-6 Basic Functionality
Module - 9 Learn Django Basic And Advanced With 7 Projects
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Django Models create read update delete operations
Object Relational Mapping With Database
Authentication
Message requests
Django Inbuilt Libraries
security measures
2 Minor Projects :
Project 1 : To-Do Application
Project 2 : Crud Application
2 Major Projects :
Project 1 : Building A Covid-19 Live Web App
Project 2 : Building A Pizza Delivery Management System
Advanced :
Url routing
Forms
Post Requests
Channels
Socket Programming
working with Templates
How to use the ASGI, Redis-Server, Channels and WebSockets in a very simplified way.
Project : Group Chat App
Module - 10 ( Data Analytics With 5 Projects)
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Learn Data Analytics With 5 Projects
Section 1
-Welcome to this course.
1) Introduction to Data Analytics
1.1) Basic Definitions of Data,Information and Data Analysis
1.2) Types of Data Analysis
1.3) Key steps in the process of Data Analysis
2) Pre-requisites
2.1) Jupyter Notebook,Python,Pandas.
Section 2
Project 1: Sales Data Analysis
- Overview of the Problem
- Data Preparation and Cleaning
- Analyse the Data
- Solving the different problems
- Visualizing the findings
Section 3
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Project 2: Time Series(Weather Data Analysis)
- Overview
- Scrapping the data
- Data Cleaning and processing
- Analysing the Data
- Visualizing the different problems
Section 4
Project 3: Textual Data Analysis(Youtube Data)
- Overview
- Performing Sentiment Analysis
- Wordcloud representation of sentiments.
- Analyse trending trends and views
- Visualizing the different trends
Section 5
Project 4: Employee Churn Rate Analysis
- Overview
- Preparing data for Analysis
- Finding the employee satisfaction level
- Analysing how many employees left or stayed
- Data Visualization
Section 6
Project 5: Customer Purchasing Behaviour and Trends
- Overview of problem
- Data Preparation and customer Analysis
- Data Wrangling
- Data Visualization and Analysis
- Uplift Testing
Module - 11 ( Building 2 Final Year Major Projects)
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Project 1 - Meal Recommendation System Web App Using Python And Django
Prerequisite : You Must Know Python And Django ( Intermediate Level )
Project Details :
Data Collection By Web Scraping
Creating dataset by data processing with pandas
Writing Code For Recommendation
Content Based Recommendation
Collaborative Based
Implementing ML Algo
Implementing Code For Django UI
Finally Recommending Meal By User Personalisation
It is a web app
Project 2 : Face Recognition Attendance System GUI Application Using ML and Python
Functionalites :
It contains various components like detection, recognition, building GUI, Marking attendance, also sending mail to them to get notified that it is marked.
Generally
Rs 14999/-
Offer Price ( Only for first 100 Students )
Only Rs 2799/-
What Students Says?
It was really great learning with them. The Best part is that all the topics they teach are unique and worth the money! Absolutely liked the way of explaining each and everything. I'm definitely looking forward to do all the possible courses coming up. Great job you all!
The Deep Learning Course gives a deep insight into how deep learning works. The instructor has taught the basics of DL very well and helped understand the code line by line. This course is a must watch for all those who wish to start learning the basics of DL.
It's really a good course for me.i am new to deep learning I don't know the concepts of it but the design of the course is impassive that firstly cover the topics which were needed for that project after that projects was developed it helps for doubt clarification. it's really good.i learned more from this course.