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Data Science and Machine Learning in Python
Rating: 4.3 out of 5(50 ratings)
272 students

Data Science and Machine Learning in Python

Learn how to use NumPy, Pandas, Seaborn , Scikit-Learn , Machine Learning, SQL and Tableau in one place!!
Created byGaurav Chauhan
Last updated 5/2019
English

What you'll learn

  • Machine Learning in Python
  • Complete SQL BootCamp Using PostgreSQL
  • TABLEAU - The Best Visualization Software
  • Data Science concepts
  • Data Wrangling, Cleaning and Data Preparation for Machine Learning
  • Supervised and Unsupervised machine learning
  • Python
  • Model Selection
  • Feature Engineering
  • Dimensionality Reduction
  • Regression
  • Classification

Course content

13 sections • 120 lectures • 17h 7m total length

  • Welcome to the Course!8:27
  • Installing Python and Anaconda - Windows,Mac or Linux4:54

    After this you will be able to install necessary tools required for functioning of this project. All tools are Open Source tools, we will recommend some tools. However you are free to use any python IDE as you prefer.

  • ***Update on Udemy Reviews***0:42
  • Recommended Anaconda Version0:09

    Normally, you can follow the steps given in lecture above. However you are still facing any issues related to Anaconda distribution, I would recommend using following distribution:


    Windows

    https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86.exe

    Windows 64 bit

    https://repo.continuum.io/archive/Anaconda3-4.2.0-Windows-x86_64.exe

    Mac

    https://repo.continuum.io/archive/Anaconda3-4.2.0-MacOSX-x86_64.pkg

    Linux

    https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86.sh

    Linux 64 bit

    https://repo.continuum.io/archive/Anaconda3-4.2.0-Linux-x86_64.sh

  • Basics of Jupyter Notebook7:03

    We will cover the basics of Jupyter notebook through this lecture( in MacOS). We have also added two sheets which are freely available on the internet. However, for you to save time, we are providing them here. 

  • Course Notes0:04

Requirements

  • Basic Understanding of Python
  • A machine (windows/mac/linux) which can be used to install necessary free software.

Description

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Harvard suggest that one of most important jobs in 21st century is a "Data Scientist"

Data Scientist earn an average salary of a data scientist is over $120,000 in the USA ! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

If you have some programming experience or you are an experienced developers who is looking to turbo charge your career in Data Science. This course is for you!


You don't need to spend thousand of dollars on other course , this course provides all the same information at a very low cost..

With over 125+ HD lectures(Python, Machine Learning, SQL,TABLEAU) and detailed code notebooks for every lecture , it is an extremely detailed course available on Udemy.

Basically everything you need to BECOME A DATA SCIENTIST IN ONE PLACE!!


You will learn true machine learning with Python, programming in python, data wrangling in Python and creating visualizations.

Some of the topics you will be learning:

  • Programming with Python

  • NumPy with Python

  • Data Wrangling in Python

  • Use pandas to handle Excel Files, text file, JSON, Cloud(AWS) and others

  • Connecting Python to SQL

  • Use Seaborn for data visualizations

  • Complete SQL Using PostgreSQL

  • TABLEAU - One of the best data visualization software

  • Machine Learning with SciKit Learn, including:

  • Linear Regression

  • Logistic Regression

  • K Nearest Neighbors

  • K Means Clustering

  • Decision Trees

  • Random Forests

  • Support Vector Machines

  • Naive Bayes

  • Hyper Parameter tuning

  • Feature Engineering

  • Model Selection

  • and much, much more!

Enroll in the course and become a data scientist today!

Who this course is for:

  • Beginner Data Science/Machine Learning Enthusiast who want to step into the world of Machine Learning.
  • Anyone who wants to be become a Data Scientist

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