Udemy

Machine Learning with Python: Data Science for Beginners

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  • 3,296 Students
  • Updated 11/2017
3.3
(72 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
11 Hour(s) 3 Minute(s)
Language
English
Taught by
TELCOMA Global | Leading Since 2009 | 75,000+ Students
Rating
3.3
(72 Ratings)

Course Overview

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 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.

Course Content

  • 5 section(s)
  • 67 lecture(s)
  • Section 1 Introduction
  • Section 2 Introduction to Data Scientist's Toolbox
  • Section 3 Exploratory Data Analysis, Feature Engineering and Hypothesis Testing
  • Section 4 Machine Learning
  • Section 5 Capstone Project

What You’ll Learn

  • Master Machine Learning using Python, Demystify Artificial Intelligence, Machine Learning, Data Science, ML Business Solution Blueprint, Explore Spyder, Pandas and NumPy, Implement Data Engineering and Data Analysis, Introduction to Statistics and Probability Distributions, Understand Supervised and Unsupervised Learning, Implement Simple & Multiple Linear Regression, Regression & Classification Model Evaluation, Cross Validation, Hyperparameter, Ensemble Modeling, Random Forest & XGBoost


Reviews

  • I
    Isha Khan
    3.5

    It was nice but the sound was not good .i was not able to hear properly

  • A
    Avinash Bharti
    2.0

    voice is so noisy and unclear...absouletly worst..cannot hear and understand the damn thing

  • S
    Shashank Rao
    3.0

    Pay your tutors more so that they can afford better recording equipment. The audio quality is still bad

  • M
    Maulik Shah
    4.0

    Very nice but audio quality could have been better.

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