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    You are at:Home»Development»Data Science & Machine Learning : Hands on Data Science 2020
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    Data Science & Machine Learning : Hands on Data Science 2020

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    Data Science & Machine Learning : Hands on Data Science 2020 - Online Course Download
    Data Science & Machine Learning : Hands on Data Science 2020 - Online Course Download
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    Data Science Development free online course free udemy paid course freecourse freecoursesite udemy course download udemy courses free download

    What you'll learn :

    You will Learn one of the most in demand skill of 21st century Data Science
    Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume
    Apply linear regression and logistics regression on real dataset.
    Crash course on python
    Apply matrix operation with Numpy – Numerical python library
    Visualize your data with mother of all visualisation library available in Python : MatplotLIb
    Perform Data analysis, wrangling and cleaning with pandas library
    Get hands on with interactive visualisation library Plotly
    Getting start with data visualization tool, Tableau
    Data Pre-processing technique – Missing data, Normalization, one hot encoding,
    Importing data in Python from different sources, Files
    Web Scraping to download web page and extract data
    Data scaling and transformation
    Exploratory Data analysis
    Feature engineering process in Machine Learning system design
    Machine learning theory
    Apache spark installation : pyspark
    Getting started with spark session
    Mathey required for machine learning : Statistics, probability
    Setup Data Science Virtual machine on Microsoft Azure Cloud

    Requirements :

    Basic of Python programming
    High school mathematics

    Description :

    Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python.

    Have you ever thought about

    How amazon gives you product recommendation, 

    How Netflix and YouTube decides which movie or video you should watch next,

    Google translate translate one language to another,

    How Google knows what is there in your photo,

    How  Android speech Recognition or Apple siri understand your speech signal with such high accuracy.

    If you would like algorithm or technology running behind that,  This is first course to get started in this direction.

    ==============================================

    This course has more than 100 – 5 star rating.

    What previous students have said: 

    “This is a truly great course! It covers far more than it’s written in its name: many data science libraries, frameworks, techniques, tips, starting from basics to advanced level topics. Thanks a lot!  ”

    “This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment.”

    “learning valuable concepts and feeling great.Thanks for this course.”

    “Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good”

    “i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . it can be improved by including some more examples and real life data but overall i would suggest every beginner to have this course.”

    “The instructor is so good, he helps you in all doubts within an average replying time of one hour. The content of the course and the way he delivers is great.”

    ==================================================

    Why Data Science Now?

    Data Scientist: The Sexiest Job of the 21st Century – By Harvard Business review

    There is huge sortage of data scientist currently software industry is facing.

    The average data scientist today earns $130,000 a year  by  glassdoor.

    Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.

    This course has more than 100+ HD –  quality video lectures and is over 13+ hours in content.

    This is first introductory course to get started data analysis, Machine learning and towards  AI algorithm implementation

    This course will teach you – All Basic python library required for data analysis process.

    Python  crash course

    Numerical Python – Numpy

    Pandas – data analysis

    Matplotlib for data visualization

    Plotly and Business intelligence tool Tableau

    Importing Data in Python from different sources like .csv, .tsv, .json, .html, web rest Facebook API

    Data Pre-Processing like normalization, train test split, Handling missing data 

    Web Scraping with python BeautifulSoup – extract  value from structured HTML Data

    Exploratory data analysis on pima Indian diabetes dataset

    Visualization of Pima Indian diabetes dataset

    Data transformation and Scaling Data –  Rescale Data, Standardize Data, Binarize Data, normalise data

    Basic introduction to What is Machine Learning, and  Scikit learn overview Its type, and comparison with traditional system. Supervised learning vs Unsupervised Learning

    Understanding of regression, classification and clustering

    Feature selection and feature elimination technique.

    And Many Machine learning algorithm yet to come. 

    Data Science Prerequisite : Basics of Probability and statistics

    Setup Data Science and Machine learning lab in Microsoft Azure Cloud

    This course is for beginner and some experienced programmer who want to make career in Data Science and  Machine learning, AI.

    Prerequisite:

    basic knowledge in python programming (will be covered in python )

    High School mathematics

    Enroll in this course, take look at brief curriculum of this course and take first step in wonderful world of Data.

    See you in field.

    Sincerely,

    Ankit Mistry

    Who this course is for :

    Anyone who is interested in DataScience
    Anyone who wants to learn – How to analyze data
    Those who want to make career in Data analytics, Machine learning, DataScience

    Course Size Details :

    15.5 hours on-demand video
    20 articles
    23 downloadable resources
    Full lifetime access
    Access on mobile and TV
    Assignments
    Certificate of completion

    View Demo

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