7 Days 7 Machine Learning & Python Projects From Scratch

Posted By: ELK1nG

7 Days 7 Machine Learning & Python Projects From Scratch
Published 12/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 791.33 MB | Duration: 1h 45m

7 Days 7 Machine Learning & Python Projects From Scratch From Basic To Advance

What you'll learn

Gain hands-on experience with machine learning using Python.

Learn the end-to-end process of building machine learning projects

Explore diverse domains, including NLP, computer vision, regression, classification

Build a project portfolio to showcase your skills to potential employers.

Requirements

Python & Basic Machine Learning Concepts

Description

Welcome to the "7 Days 7 Machine Learning & Python Projects From Scratch" course! This comprehensive, hands-on program is designed to take you from foundational knowledge to practical implementation, covering a wide range of real-world applications in machine learning and Python. Whether you're a beginner eager to explore machine learning or an intermediate learner looking to strengthen your project portfolio, this course offers an in-depth, engaging experience.In just seven days, you’ll work on seven diverse projects, each tailored to teach critical concepts in machine learning while using Python as the primary programming language. This course emphasizes practical, hands-on learning, ensuring that you gain not only theoretical knowledge but also the skills to build, deploy, and evaluate machine learning models for various real-world scenarios.Why This Course?Machine learning is one of the most sought-after skills in today’s tech-driven world. This course offers a structured path to learning machine learning by focusing on practical applications. Each project is carefully selected to teach you concepts that are not only theoretical but also directly applicable in industry scenarios.Whether you’re an aspiring data scientist, a developer wanting to dive into AI, or simply someone passionate about learning new technologies, this course will equip you with the skills and confidence to tackle machine learning challenges.Course OutcomesBy the end of this course, you will:Have a solid understanding of machine learning concepts and techniques.Be able to preprocess data, build models, and evaluate them for various applications.Have seven completed projects to add to your portfolio, demonstrating your proficiency in machine learning.Be confident in implementing machine learning solutions to solve real-world problems.Take the First StepEmbark on this exciting journey to master machine learning and Python. Enroll today and start building projects that make a difference!

Overview

Section 1: Introduction To 7 Days 7 Machine Learning & Python Projects From Scratch

Lecture 1 Introduction To Project 1

Lecture 2 Project 1 class 1 : Import Packages

Lecture 3 Project 1 class 2 : Import Dataset

Lecture 4 Project 1 class 3 : Train Dataset Using Random Forest Classifier

Lecture 5 Project 1 class 4 : Output & Conclusion

Section 2: 2nd Day 2nd Machine Learning & Python Project

Lecture 6 Introduction To Project 2

Lecture 7 Project 2 class 1 : Import Packages

Lecture 8 Project 2 class 2 : Import Dataset

Lecture 9 Project 2 class 3 : Extract Features and Target Variable

Lecture 10 Project 2 class 4 : Train Dataset Using Logistic Regression

Lecture 11 Project 2 class 5 : Output & Conclusion

Section 3: 3rd Day 3rd Machine Learning & Python Project

Lecture 12 Introduction To Project 3

Lecture 13 Project 3 class 1 : Import Packages

Lecture 14 Project 3 class 2 : Import Dataset

Lecture 15 Project 3 class 3 : Extract Features and Target Variable

Lecture 16 Project 3 class 4 : Train Dataset Using Random Forest Classifier

Lecture 17 Project 3 class 5 : Output & Conclusion

Section 4: 4th Day 4th Machine Learning & Python Project

Lecture 18 Introduction To Project 4

Lecture 19 Project 4 class 1 : Import Packages

Lecture 20 Project 4 class 2 : Generate Key Using Fernet

Lecture 21 Project 4 class 3 : Load Key

Lecture 22 Project 4 class 4 : Encryption Using Fernet

Lecture 23 Project 4 class 5 : Decryption Using Fernet

Lecture 24 Project 4 class 6 : Output & Conclusion

Section 5: Complete 3 Python Projects From Scratch

Lecture 25 Complete Ecommerce FAQ Bot Using Python From Scratch

Lecture 26 Complete File Transfer Using Python Project

Lecture 27 Complete Fake News Detection Project Using Streamlit Python

Students and professionals looking to start their journey in machine learning and Python.