May

08

2018

Machine Learning with Python Data Science for Beginners

Ze203 8 May 2018 16:55 LEARNING » e-learning - Tutorial


Machine Learning with Python Data Science for Beginners

Machine Learning with Python: Data Science for Beginners
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 11 Hours | Lec: 67 | 1.18 GB
Genre: eLearning | Language: English

Data Science / Machine Learning is the most in-demand and Highest Paying job of 2017



Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed.

Machine Learning is the most in-demand and Highest Paying job of 2017 and the same trend will follow for the coming years. With an average salary of $120,000 (Glassdoor and Indeed), Machine Learning will help you to get one of the top-paying jobs.

This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

At the end of the course you will be able to

Master Machine Learning using Python
Demystifying Artificial Intelligence, Machine Learning, Data Science
Explore & Define a ML use case
ML Business Solution Blueprint
Explore Spyder, Pandas and NumPy
Implement Data Engineering
Exploratory Data Analysis
Introduction to Statistics and Probability Distributions
Learn Machine Learning Methodology
Understand Supervised Learning Supervised Learning
Implement Simple & Multiple Linear Regression
Decision Trees
Regression & Classification Model Evaluation
Cross Validation, Hyperparameter
Ensemble Modeling
Random Forest & XGBoost

Learning Machine Learning is a definite way to advance your career and will open doors to new Job opportunities.

100% MONEY-BACK GUARANTEE

This course comes with a 30-day money back guarantee. If you're not happy, ask for a refund, all your money back, no questions asked.

Feel forward to have a look at course description and demo videos and we look forward to see you inside.




Machine Learning with Python Data Science for Beginners




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