2021 Data Science/MachineLearning Project Deployment Mastery

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2021 Data Science/MachineLearning Project Deployment Mastery - Learn Data Science/ML with 20+Practical Hands-On Projects and Deployment.(Flask,Heroku,AWS,Google Cloud,Microsoft Azure)

Created by MrBriit ., Bright kyeremeh
English [Auto]

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What you'll learn

End-to-End Data Science and Machine Learning (Right from learning the basics to building the models to deploying the models)
Learn Through More Than 20+ Projects and Assignments
Master Machine Learning With Python
Learn How to Deploy Machine Learning Models
Practical Hands-On Data Science Projects Mastery
Build And Deploy Machine Learning models On Flask, Heroku, Streamlit, AWS,Google Cloud, Microsoft Azure
Create Robust Machine Learning Models with CatBoost ,XGBoost, LightGbm
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

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 and Deployment 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.

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, Streamlit
Any student interested in a career in Data Science and Machine Learning
Any beginner 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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