Get started with Machine Learning Algorithms
This course includes:
- 5.5 hours on-demand video
- 1 article
- 1 downloadable resource
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Coupon Code – 593D781221BDFBFF81F7
What you’ll learn
- Machine Learning Basics with Python
- How to apply ML algorithms to your own problems
- How some algorithms work internally (kmeans, decision tree)
- Classify data automatically
- Predict prices with algorithms
- Group data points automatically
Requirements
- Basic understanding of Python Programming Language.
Description
Learn how to use Machine Learning with Python Scikit!
This is a getting-started course for Machine Learning. If you are new to Machine Learning, this course is for you!
We’ll teach you how to get started with Machine Learning including these topics:
- What is Machine Learning
- Automatically classify new data
- Predict prices with regression
- Group your data automatically with clustering
- Learn how to use Numpy and Pandas for Data Analysis. This will cover all basic concepts of Numpy and Pandas that are useful in data analysis.
- Learn to create impactful visualizations using Matplotlib and Seaborn. Creating impactful visualizations is a crucial step in developing a better understanding about your data.
- This course covers all Data Preprocessing steps like working with missing values, Feature Encoding and Feature Scaling.
- Learn about different Machine Learning Models like Random Forest, Decision Trees, KNN, SVM, Linear Regression, Logistic regression etc… All the video sessions will first discuss the basic theory concept behind these algorithms followed by the practical implementation.
- Learn to how to choose the best hyper parameters for your Machine Learning Model using GridSearch CV. Choosing the best hyper parameters is an important step in increasing the accuracy of your Machine Learning Model.
- You will learn to build a complete Machine Learning Pipeline from Data collection to Data Preprocessing to Model Building. ML Pipeline is an important concept that is extensively used while building large scale ML projects.
- This course has two projects at the end that will be built using all concepts taught in this course. The first project is about Diabetes Prediction using a classification machine learning algorithm and second is about prediciting the insurance premium using a regression machine learning algorithm.
Enroll below and start learning now!
Who this course is for:
- Anyone who is looking to start his or her Data Science and Machine Learning Journey. People who are at intermediate level and already have some basic understanding of Data Science will also find this course helpful.
Enroll Below
This course is free for only the first 1000 enrollments, if the coupon says expired then you missed this time. Stay tuned and in 15 days we will share new coupon codes for the courses.
Coupon Code – 593D781221BDFBFF81F7