Why this course?

Description

Description: (Total Time: 17 hours, 20 minutes, and 41 seconds)

This course is designed for individuals looking to gain proficiency in Python programming and its applications in data science, machine learning, web development, and AI. Starting from the basics, you’ll progress through essential concepts like data types, loops, functions, and object-oriented programming before moving into libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.

 

Overview:

This 30-day course is a hands-on journey to mastering Python programming, data analysis, machine learning, and building real-world applications. You’ll start from the basics of Python syntax and data structures, moving on to advanced topics like machine learning, data visualization, web scraping, Flask web development, and object detection using OpenCV. The course includes multiple practical projects, coding challenges, and industry-relevant skills to equip you with the tools needed to tackle real-world problems.By the end of the course, you'll have developed a strong Python foundation and the skills to work on data-driven projects, machine learning models, web applications, and AI-based systems.

 

Projects:

• Virtual Assistant Creation 
• Churn Analysis Prediction 
• Company Bankruptcy Prediction
• Videogame Sales Prediction
• Customer Segmentation using Machine Learning 
• Web Scraping with Python 
• Text Editing App using Python 
• Password Generator
• Flask Framework for Web Development 
• Object Detection Using OpenCV 

 

Skills Covered:

• Python Programming: Basic syntax, functions, loops, conditionals, and object-oriented programming.
• Data Science Skills: Data manipulation, analysis, and visualization using Pandas, NumPy, Matplotlib, and Seaborn.
• Machine Learning: Classification, regression, and clustering using Scikit-learn.
• Web Development: Create web apps with Flask, APIs, and HTML/CSS.
• Object-Oriented Programming (OOP): Class and object design, encapsulation, inheritance.
• Automation & Scripting: Build virtual assistants and automate tasks.
• Computer Vision: Implement object detection using OpenCV.
• Web Scraping: Extract data from websites using BeautifulSoup and Requests.
   

Tools & Libraries Used:

 

• Python Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, OpenCV, Flask, Tkinter, BeautifulSoup, Requests, Pyttsx3
• Machine Learning Frameworks: Scikit-learn, KMeans, Regression Models
• Web Development Framework: Flask
• Computer Vision Tools: OpenCV
• GUI Development: Tkinter

1. Speech Recognition: SpeechRecognition
   
   
   Day 1 Introduction & Installation of python 33 min 26 sec cloud_download
   Day 1 Downloadable - Introduction & Installation of python
   Day 2 - Overview of Syntax, Variable & Datatype Session
   Day 3 - Python Operators Session
   Day 4 - Python Strings Session
   Day 5 - Python List and Tuple Session 
   Day 6 - Python Set & Dictionary Sessions
   Day 7 - Conditional statement Sessions
   Day 8 - looping statement Sessions
   Day 9 - File Handling & Exception Handling Strategy Session
   Day 10 - Python Function Session
   Day 11 - Class & Object Sessions Day 12 - Modules & packages Session 
   Day 13 - Virtual Assistant Creation Session 
   Day 14 - Pandas library Session
   Day 15 - NumPy Library Session
   Day 16 - Data visualization (Matplotlib & Seaborn) Session
   Day 17 - Scikit-Learn library Session
   Day 18 - Churn Analysis Prediction Sessions
   Day 19 - Company Bankruptcy Prediction Sessions
   Day 20 - Videogame Sales Prediction Session 
   Day 21 - Customer Segmentation using Machine Learning Sessions
   Day 22 - Coding challenge - I Session
   Day 23 - Coding challenge - II Session
   Day 24 - Date Time Module Sessions
   Day 25 - Regular Expression Session
   Day 26 - Web Scrapping using Python Sessions label_important
   Day 27 - create Text Editing app using python Session
   Day 28 - Password Generator using python Sessions
   Day 29 - Flask framework using python Session
   Day 30 - Object Detection Using OpenCV Sessions