Machine Learning Made Easy: Beginner to Expert using Python . Includes Data Handling and Cleaning, Basic Statistics, Classical Machine Learning Algorithms, Model Selection and Validation . Write your own Python scripts and work in Python Environment. Import, manipulate, clean up, sanitize and export datasets. Understand data science life cycle while understanding steps of building, validating, improving and implementing machine learning models. Do powerful analysis on data, find insights and present them in visual manner. Use Python to build, validate, improve and implement models. Learn advanced machine learning algorithms like SVM, Artificial Neural Networks, Reinforced Learning, Random Forests and BoostingAuthentication failed. Unique API key is not valid for this user.
Who this course is for:
Anyone interested in Data Science and Machine Learning.
Students who want a head start in Data Science field.
Data analysts who want to upgrade their skills in Machine Learning.
People who want to add value to their work and business by using Machine Learning.
People with basics understanding of classical machine learning algorithms like linear regression or logistic regression, but want to learn more about it.
People interested in understanding application of machine learning algorithms on real business problems.
People interested in understanding how a machine learning algorithm works and what’s the math behind it.
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Machine Learning Made Easy : Beginner to Expert using Python free download