Machine Learning Essentials (2023)
Kickstart Machine Learning, understand maths behind essential algorithms, implement them in python & build 8+ projects
⭐⭐⭐⭐⭐ 4.8/5
What you'll learn
- Jumpstart the world of AI & ML
- Regression & Classification Techniques
- K-Nearest Neighbours, K-Means
- Decision Trees & Random Forests
- Dimensionality Reduction
- 8+ Hands on Projects
- Maths of Machine Learning
- Linear & Logistic Regression
- Naive Bayes, Text Classification
- Ensemble Learning – Bagging & Boosting
- Neural Networks
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Course Overview
Read to jumpstart the world of Machine Learning & Artificial intelligence?
This hands-on course is designed for absolute beginners as well as for proficient programmers who want kickstart Machine Learning for solving real life problems. You will learn how to work with data, and train models capable of making “intelligent decisions”
Data Science has one of the most rewarding jobs of the 21st century and fortune-500 tech companies are spending heavily on data scientists! Data Science as a career is very rewarding and offers one of the highest salaries in the world. Unlike other courses, which cover only library-implementations this course is designed to give you a solid foundation in Machine Learning by covering maths and implementation from scratch in Python for most statistical techniques.
This comprehensive course is taught by Praveen Kumar & Praveen Kumar, who not just popular instructors but also have worked in Software Engineering and Data Science domains with companies like Google. They have taught thousands of students in several online and in-person courses over last 3+ years.
We are providing you this course to you at a fraction of its original cost! This is action oriented course, we not just delve into theory but focus on the practical aspects by building 8+ projects.
With over 170+ high quality video lectures, easy to understand explanations and complete code repository this is one of the most detailed and robust course for learning data science.
Here is what you will learn :
- Logistic Regression
- Linear Regression
- Principal Component Analysis
- Naive Bayes
- Decision Trees
- Bagging and Boosting
- K-NN
- K-Means
- Neural Networks
- Convex Optimisation
- Overfitting vs Underfitting
- Bias Variance Tradeoff
- Performance Metrics
- Data Pre-processing
- Feature Engineering
- Parametric vs Non-Parametric Techniques
- Working with numeric data, images & textual data
Sign up for the course and take your first step towards becoming a machine learning engineer! See you in the course!
Meet the Instructor
Praveen is a Data Scientist programming instructor and co-creator at Coding Minutes. He has trained over 10000+ students in Machine Learning, and AI over the last 2 years of his teaching experience. His expertise lies in Python, data science, machine learning and AI, and he has won many competitions.
He has been doing AI-based projects for the last 4 years. He also leads the ML and Data Science Domain of Coding Minutes.
Praveen is a popular programming instructor and an ace software engineer, currently working with Scaler and created Coding Minutes. He is known for his amazingly simplified explanations that make everyone fall in love with programming.
He has over 5+ years of teaching experience and has trained over 75,000 students in classroom boot camps & online courses in the past