5 Days 5 Machine Learning Projects From Scratch

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Complete 5 Days 5 Machine Learning Projects From Scratch

What you'll learn

Understand the foundations of machine learning through hands-on projects.

Learn the end-to-end workflow of a machine learning project, from data preparation to model deployment.

Gain experience with popular machine learning libraries like scikit-learn, TensorFlow, and Pandas.

Explore diverse domains such as regression, classification, NLP, computer vision, and recommendation systems.

Requirements

Basic Python & Machine Learning Required

Description

Welcome to the "5 Days 5 Machine Learning Projects From Scratch" course, a fast-paced, hands-on learning experience designed to take you from theory to practice in just five days! This course is perfect for aspiring data scientists, machine learning enthusiasts, and professionals who want to enhance their portfolio with real-world projects.Each day focuses on building a fully functional machine learning project from scratch, covering various domains and techniques to give you a well-rounded experience. By the end of this course, you'll have completed five diverse projects, gaining invaluable skills in data preprocessing, model building, evaluation, and deployment. This course emphasizes practical skills, critical thinking, and hands-on implementation to ensure you're job-ready.What You'll Build:Day 1: Create Project Using Natural Language Processing.Day 2: Create Project Using logistic regression and neural networks.Day 3: Create Project Using Naive Bayes classification.Day 4: Create Project Using Medical Image Prediction.Day 5: Create Project For Ad Click Through Prediction.Whether you're a student, professional, or self-taught learner, this course equips you with the knowledge and confidence to tackle real-world machine learning problems. Acquire skills to confidently implement machine learning solutions in real-world scenarios. Start your journey today and transform your passion for machine learning into tangible expertise!

Overview

Section 1: Introduction To Resume Analyzer Project For Machine Learning Job

Lecture 1 Introduction To Project

Lecture 2 Resume Class 1 : Import Packages

Lecture 3 Resume Class 2 : Import Dataset

Lecture 4 Resume Class 3 : Extract Text From Resume

Lecture 5 Resume Class 4 : Tokenization

Lecture 6 Resume Class 5 : Match Keywords & Skills

Lecture 7 Resume Class 6 : Analyze Resume Score & Conclusion

Section 2: Ecommerce Product Category Classification Using Machine Learning

Lecture 8 Introduction To Project

Lecture 9 Ecommerce Class 1 : Import Packages

Lecture 10 Ecommerce Class 2 : Import Dataset

Lecture 11 Ecommerce Class 3 : Data Preprocessing

Lecture 12 Ecommerce Class 4 : Train Dataset Using Logistic Regression

Lecture 13 Ecommerce Class 5 : Output & Conclusion

Section 3: Emotion Detection From Text Using Natural Language Processing

Lecture 14 Introduction To Project

Lecture 15 Emotion Class 1 : Import Packages

Lecture 16 Emotion Class 2 : Import Dataset

Lecture 17 Emotion Class 3 : Dataset Preprocessing

Lecture 18 Emotion Class 4 : Train Dataset Using Naive Bayes

Lecture 19 Emotion Class 5 : Output & Conclusion

Section 4: AD Click Prediction Project Using Machine Learning

Lecture 20 Introduction To Project

Lecture 21 AD Class 1 : Import Packages

Lecture 22 AD Class 2 : Import Dataset

Lecture 23 AD Class 3 : Dataset Preprocessing

Lecture 24 AD Class 4 : Train Dataset Using Regression

Lecture 25 AD Class 5 : Output & Conclusion

Section 5: Diabetes Prediction Project Using Machine Learning

Lecture 26 Introduction To Project

Lecture 27 Diabetes Class 1 : Import Packages

Lecture 28 Diabetes Class 2 : Import Dataset

Lecture 29 Diabetes Class 3 : Data Preprocessing

Lecture 30 Diabetes Class 4 : Train Dataset

Lecture 31 Diabetes Class 5 : Output & Conclusion

Students,Python & Machine Learning Coders