Are you interested in learning the ins and outs of data science and machine learning? Look no further than the "Data Science and Machine Learning Basic to Advanced" course! This all-encompassing course offers a complete introduction to the world of data science, covering all of the necessary basics before diving into the advanced concepts. With a course rating aggregate of 4.40836 and 169 reviews, it is clear that students love the content and quality of this course.
What You Will Learn
The course is structured to provide a comprehensive understanding of the fundamentals of data science and machine learning before moving onto more advanced topics. The course begins with an introduction to data analysis using Numpy and Pandas, covering all basic concepts that are useful in data analysis. Students will then learn to create impactful visualizations using Matplotlib and Seaborn followed by data preprocessing steps like working with missing values, feature encoding, and feature scaling.
The course then moves on to cover different machine learning models such as Random Forest, Decision Trees, KNN, SVM, Linear Regression, and Logistic Regression. Each video session covers the basic theory concept behind these algorithms, followed by practical implementation. Students will also learn how to choose the best hyperparameters for their machine learning model using GridSearch CV, an essential step in increasing the accuracy of the model.
Perhaps most importantly for those interested in real-world applications, the course covers building a complete machine learning pipeline from data collection to data preprocessing to model building. This pipeline is an important concept extensively used while building large-scale machine learning projects. Finally, the course culminates with two projects - the first project guides students as they build a diabetes prediction model using a classification machine learning algorithm, while the second project guides students as they build an insurance premium prediction model using a regression machine learning algorithm.
Why This Course Stands Out
There are numerous courses out there promising to teach you the basics of data science and machine learning, so what sets this course apart from the rest? Firstly, the course is structured to provide a comprehensive understanding of the fundamentals of data science before diving into more advanced topics. Secondly, the course provides a hands-on learning environment, allowing students to practice and apply concepts learned in class through two in-depth projects. Lastly, the course provides real-world applications by teaching students how to build complete machine learning pipelines from data collection to model building.
Moreover, this course is taught by an experienced instructor with over 20 years of industry experience. This course is suitable for beginners who have no prior knowledge or experience with machine learning.
What Students Have to Say
With a course rating of 4.40836 and 169 reviews, it's no surprise that students have great things to say about the "Data Science and Machine Learning Basic to Advanced" course. Numerous students have praised the course for its comprehensive content and hands-on learning approach. One student remarked, "This course is a superb introduction to machine learning. The teaching style is simple and efficient, so concepts are easily understood, and the projects are very insightful." Another student wrote, "This course was exactly what I needed to break into the world of data science and machine learning. The step-by-step guidance and extensive projects were incredibly helpful, and I feel confident applying what I've learned."
Is This Course Right For You?
If you're interested in breaking into the world of data science and machine learning or simply want to further your knowledge, this course is a must! As a beginner's course, it's perfectly suited for those who have no prior experience in the field. The hands-on learning approach and extensive projects make this course stand out from others and are essential in building applicable skills. Don't wait - enroll today and start your journey into the world of data science!
