Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
Scroll Down and click Enroll Now Button to get enrolled into the Free Course
Apply Coupon Code: B5043DACA7F3A02F4389
What you’ll learn
- Master Machine Learning on Python
- Make accurate predictions
- Make robust Machine Learning models
- Use Machine Learning for personal purpose
- Have a great intuition of many Machine Learning models
- Know which Machine Learning model to choose for each type of problem
- Use SciKit-Learn for Machine Learning Tasks
- Make predictions using linear regression, polynomial regression, and multiple regression
- Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, etc.
This course includes:
- 4.5 hours on-demand video
- 17 downloadable resources
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Course content
7 sections • 21 lectures • 4h 36m total lengthCollapse all sections
Introduction
- What is ML? Application & Types of ML
Data Preprocessing Techniques
- What is NumPy?
- Data Manipulation with Pandas
Regression
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Support Vector Regression(SVR)
- Decision Tree Regression
- Random Forest Regression
- Regression Mini Project
Classification
- Logistic Regression
- K-Nearest Neighbour
- Support Vector Machine (SVM)
- Kernel SVM
- Naive Bayes Classification
- Decision Tree Classification
- Random Forest Classification
- Classification Mini Project
Problems With ML
- Underfitting and Overfitting
Model Selection
- Cross Validation And Grid Search
Model Deployment
- ML Model With Deployment
Requirements
- Some basic python programming experience.
- Basic understanding of python libraries like numpy, pasdas and matplotlib.(Optional)
- Some high school mathematics.
Description
Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by Code Warriors the ML Enthusiasts so that we can share our knowledge and help you learn complex theories, algorithms, and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:
You can do a lot in 21 Days. Actually, it’s the perfect number of days required to adopt a new habit!
What you’ll learn:-
1.Machine Learning Overview
2.Regression Algorithms on the real-time dataset
3.Regression Miniproject
4.Classification Algorithms on the real-time dataset
5.Classification Miniproject
6.Model Fine-Tuning
7.Deployment of the ML model
Who this course is for:
- Anyone interested in Machine Learning.
- Students who have at least high school knowledge in math and who want to start learning Machine Learning.
- Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
- Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
- Any students in college who want to start a career in Data Science.
- Any people who want to create added value to their business by using powerful Machine Learning tools.
Show less
Note: The course is free for a limited time and limited to 500 users. Enroll as soon as possible. If it is no longer free, it means you are late, and it has already exceeded its limits.
🎫 After adding the course into Cart at Checkout page, Apply Coupon Code➛. B5043DACA7F3A02F4389 Note:- After applying coupon, if it says ”This coupon has exceeded its maximum possible redemptions…”, then it means you’re Late, and first 500 coupons already redeemed.




