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

LeeAndro

Trusted Editor
Trusted Editor
End-To-End Machine Learning Projects&Deployment Mastery 2021
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 11.1 GB | Duration: 21h 46m

Learn Different Machine Learning Algorithms such as Linear And Logistic regression, Naive Bayes,KNN,SVM,K-means, etc.


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

Deal With Data Imbalance (Upsampling/Downsampling/SMOTE)

Bner To Advance

Gain Confidence In Perfog 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 bner 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 bners, as well as intermediate data science enthusiasts, learn both the concepts while practicing on the projects to gain a better understanding of the course.

Who this course is for:

Anyone interested in Data Science and Machine Learning.

Anyone who wants to Build And Deploy machine learning models on Flask, Heroku, AWS,Google Cloud, Microsoft Azure

Any student interested in a career in Data Science and Machine Learning

Any bner level interested to kick-start their career in Data Science and Machine
 Learning

Any intermediate level learner who know the basics of python, statistics, machine
 Learning and want to learn more about it

Anyone not that comfortable with coding but interested in Data Science and
 Machine Learning and want to easily understand the concepts

Any data analysts who want to transition to Data Science and Machine Learning

Any Business Analysts who want to transition to Data Science and Machine
 Learning

Anyone not satisfied with their job and looking for a career transition to become a
 Data Scientist.

Anyone who wants to leverage the power of data in his case scenario.

Any curious mind



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