Data Science and Machine Learning Basic to Advanced – (Free Course)

What you’ll learn

1. Students will develop understanding of libraries used for Data Analysis like Pandas and Numpy.
2. Learn to create impactful visualizations using Matplotlib and Seaborn. By creating these visualizations you will be able to derive better conclusions from data.
3. After this course you will learn to build complete Data Science Pipeline from Data preparation to building the best Machine Learning Model.

This course includes:

• 5 hours on-demand video
• 48 downloadable resources
• Access on mobile and TV
• Full lifetime access
• Certificate of completion

Description

• 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.

How to Get this course FREE?

Get a 100% Discount On Udemy Paid Courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.

Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).

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