Machine Learning with Python: Data Science for Beginners

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

Machine Learning with Python: Data Science for Beginners
Machine Learning with Python: Data Science for Beginners

Machine Learning with Python: Data Science for Beginners udemy course

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

What you'll learn:

  • You will be able to apply data science algorithms for solving industry problems
  • You will have a clear understanding of industry standards and best practices for predictive model building
  • You will be able to derive key insights from data using exploratory data analysis techniques
  • You will be able to efficiently handle data in a structured way using Pandas
  • You will have a strong foundation of linear regression, multiple regression and logistic regression
  • You will be able to use python scikit-learn for building different types of regression models
  • You will be able to use cross validation techniques for comparing models, select parameters
  • You will know about common pitfalls in modeling like over-fitting, bias-variance trade off etc..
  • You will be able to regularize models for reliable predictions

Requirements:

  • Basic programming in any language
  • Basic Mathematics
  • Some exposure to Python (but not mandatory)

Description:

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.

Who this course is for:

Course Details:

  • 11 hours on-demand video
  • 5 articles
  • 9 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Machine Learning with Python: Data Science for Beginners udemy free download

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

Demo Link: https://www.udemy.com/course/machine-learning-with-python-data-science-for-beginners/