Machine Learning- From Basics to Advanced

If you are looking to start your career in Machine learning then this is the course for you. This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.This course has 5 parts as given below:Introduction & Data Wrangling in machine learning Linear Models, Trees & Preprocessing in machine learning Model Evaluation, Feature Selection & Pipelining in machine learning Bayes, Nearest Neighbors & Clustering in machine learning SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning For the code explained in each lecture, you can find a GitHub link in the resources section.Who's teaching you in this course?I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies - PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan - Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS - Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.Machine learning is the fuel we need to power robots, alongside AI. With Machine Learning, we can power programs that can be easily updated and modified to adapt to new environments and tasks to get things done quickly and efficiently.Here are a few reasons for you to pursue a career in Machine Learning:1) Machine learning is a skill of the future – Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine L