Join machine learning with python Bootcamp for a better opportunity:-
Are You Interested In The Field Of Machine Learning? Then this course is for you!
This course has been designed by MTA India so that we can share our knowledge and help you to learn complex theory, algorithms, and coding libraries in a simple way.
We will walk you step-by-step into the World of Machine Learning. With this BootCamp, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
This is an amazing course for beginners who want to understand everything in machine learning. I hope this knowledge can help you for developing your start-up, advancing technology, and giving benefits to others.
The platform is awesome, the explanation, graphics, and examples are very well done and start simple and progress to more challenging exercises.
The quality of the program we are created allows for you to learn these challenging concepts quickly with real-life practical usage in a way that would be easier than any alternative.
MTA India is the global leader in IT through an open hybrid cloud platform and AI
Intro of machine learning:
In this course, you will learn about applications of Machine Learning in different fields such as health care, banking, telecommunication, and so on. You’ll get a general overview of Machine Learning topics such as supervised vs unsupervised learning, and the usage of each algorithm. Also, you understand the advantage of using Python libraries for implementing Machine Learning models.
Regression:-
In this week, you will get a brief intro to regression. You learn about Linear, Non-linear, Simple and Multiple regression, and their applications. You apply all these methods on two different datasets, in the lab part. Also, you learn how to evaluate your regression model, and calculate its accuracy.
Classification:-
In this week, you will learn about classification techniques. You practice with different classification algorithms, such as KNN, Decision Trees, Logistic Regression, and SVM. Also, you learn about the pros and cons of each method and different classification accuracy metrics.
Clustering
In this section, you will learn about different clustering approaches. You learn how to use clustering for customer segmentation, grouping the same vehicles, and also clustering of weather stations. You understand 3 main types of clustering, including Partitioned-based Clustering, Hierarchical Clustering, and Density-based Clustering.
The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence concerning programming skills.
ABOUT THIS COURSE
This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.
Look at real-life examples of Machine learning and how it affects society in ways you may not have guessed!
Explore many algorithms and models:
Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.
Get ready to do more learning than your machine!