Interested in the field of Machine Learning? Then this course is for you!
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.
A Road map connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
Below are few Applications of Machine Learning in Practical Real World
Python leads the pack, with 57% of data scientists and machine learning developers using it and 33% Prioritising it for development. So, In this course also you will able learn the Basics of Python to Advance State of Art Techniques of Deep Learning Models.
There are 4 different sections in this course for a complete understanding of all the concepts in Artificial Intelligence such as Python, Machine Learning, Deep Learning, and Time Series Analysis.
This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:
Data Structures, List, Tuples, Dictionary, Libraries, Functions, Operators etc
Data Cleaning and Preprocessing
MACHINE LEARNING -
Regression: Simple Linear Regression, , SVR, Decision Tree , Random Forest,
Clustering: K-Means, Hierarchical Clustering Algorithms
Classification: Logistic Regression, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
Natural Language Processing: Bag-of-words model and algorithms for NLP
DEEP LEARNING -
Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Long short term Memory, Vgg16, Transfer learning, Web Based Flask Applications.
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.
I hope you will Enjoy this course. I will see you in the course.