Data Science and Machine Learning Basic to Advanced Free Coupon

Complete Introduction to Data Science and Machine Learning from Basic to Advanced.
4.5 (682 reviews) 51,615+ students
Instructor: Raj Chhabria Published by: Saksham Dixit (MOD) English

Course 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.

Review: Our Opinion

Everything You Need to Know About Data Science and Machine Learning Basic to Advanced

This course is a comprehensive and well-structured introduction to Data Science and Machine Learning Basic to Advanced. The instructor, Raj Chhabria, is a leading expert in the field with a wealth of experience in Development to share.

The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.

The course is divided into sections, each of which covers a different aspect related to Data Science. Each module contains a series of video lectures, readings, and hands-on exercises.

The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.

One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.

Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.

Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.

Overall, I highly recommend this course to anyone who is interested in learning Data Science and Machine Learning Basic to Advanced. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.

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