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End-To-End Machine Learning Projects&Deployment Mastery 2021

 

End-To-End Machine Learning Projects&Deployment Mastery 2021

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End-To-End Machine Learning Projects&Deployment Mastery 2021 Learn Data Science/ML with Practical Hands-On Projects and Deployment. (Flask,Heroku,AWS,Google Cloud,Microsoft Azure)

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What you'll learn

  • Master Machine Learning With Python
  • Learn Through More Than 20+ Projects and Assignments
  • Learn How to Deploy Machine Learning Models
  • Practical Hands-On Data Science Projects Mastery
  • Build And Deploy On Flask, Heroku, Streamlit, AWS,Google Cloud, Microsoft Azure
  • Create Robust Machine Learning Models
  • Learn Different Machine Learning Algorithms such as Linear And Logistic regression, Naive Bayes,KNN,SVM,K-means, etc.
  • Deal With Data Imbalance (Upsampling/Downsampling/SMOTE)
  • Beginner To Advance
  • Gain Confidence In Performing Exploratory Data Analysis (EDA)
  • Choose The Right Machine Learning Model For Your Problem Statement
  • Access To Exclusive Community To Learn With Others And Answer Your Queries
  • Learn The Necessary Statistics
  • Master Data Analysis

Requirements

  • This course is a beginner to advance level course with a step-by-step walkthrough and detail explanation of the concepts.

Description

Interested in the field of Data Science and Machine Learning?

Interested in Building Data Science and Machine Learning Projects and Deploy on Platforms such as AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?

Interested in learning it the practical way?

Then this course is for you!!

  • This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects throughout the course.
  • This course will help you learn complex Data Science concepts and machine learning algorithms the practical way for easier understanding.
  • We will walk you through step-by-step on each topic explaining each line of code for your understanding.
  • There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.

We have structured the course in this way:

  • Python For Data Science
  • Statistics For Data Science
  • Machine Learning
  • Hands-on projects on each topic
  • Projects Deployment Tutorial

  •             Streamlit project tutorial
  •             Flask deployment project tutorial
  •             Heroku deployment project tutorial
  •            Google cloud deployment project tutorial
  •            AWS deployment project tutorial
  •            Microsoft Azure deployment project tutorial

This course aims to help beginners, as well as intermediate data science enthusiasts, learn both the concepts while practicing on the projects to gain a better understanding of the course.

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Online Course CoupoNED I am very happy that there are bloggers who can help my business

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