Practical Machine Learning for Beginners in 2022

Practical Machine Learning for Beginners in 2022, available at Free, has an average rating of 4.1, with 9 lectures, based on 114 reviews, and has 9058 subscribers.

You will learn about Understand how to take a model from notebook to deployment Ability to use Flask framework for machine learning model deployment Ability to Use Postman application to test your model API endpoints Understand How to leverage on Datasist ibrary for faster model building and deployment This course is ideal for individuals who are Data Science Enthusiast or Beginner Python Developers curious about Data Science or Data Analyst willing to move to the predictive space or Business People curious about model building and deployment It is particularly useful for Data Science Enthusiast or Beginner Python Developers curious about Data Science or Data Analyst willing to move to the predictive space or Business People curious about model building and deployment.

Enroll now: Practical Machine Learning for Beginners in 2022

Summary

Title: Practical Machine Learning for Beginners in 2022

Price: Free

Average Rating: 4.1

Number of Lectures: 9

Number of Published Lectures: 8

Number of Curriculum Items: 9

Number of Published Curriculum Objects: 8

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand how to take a model from notebook to deployment

Ability to use Flask framework for machine learning model deployment

Ability to Use Postman application to test your model API endpoints

Understand How to leverage on Datasist ibrary for faster model building and deployment

Who Should Attend

Data Science Enthusiast

Beginner Python Developers curious about Data Science

Data Analyst willing to move to the predictive space

Business People curious about model building and deployment

Target Audiences

Data Science Enthusiast

Beginner Python Developers curious about Data Science

Data Analyst willing to move to the predictive space

Business People curious about model building and deployment

This course is for every beginner in the data science space. We have been there before and we understood what your learning challenges are. This short course will focus on showing you end to end what it takes to build and deploy a simple machine learning solution.

We will be building a car pricing prediction engine. This will be purely hands-on.

You will be able to deploy this solution using the flask framework as an API and also as a Platform.

We will also introduce you to libraries that make it easy to quickly explore, build, and deploy a machine learning solution.

This course assumes you do not have any prior knowledge of Machine Learning or that you have taken a couple of courses but still missing the full picture.

Machine learning models are not useful in silos and this free course will show you the full picture and cover the knowledge gaps.

You will also be able to put to use your knowledge of HTML as we build a simple web interface to interact with the solution.

This course will also introduce you to Postman Application. It is a popular use for testing API and solutions. Postman will help us to interact with the API deployment of our model while our browser is sufficient for interacting with the platform deployment.

We will be making use of the following major applications:

1. Jupyter Notebook

2. Visual Studio Code

3. Postman

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Installing the Required Applications

Lecture 1: Installing Applications

Chapter 3: Build and Deploy a Machine Learning Model

Lecture 1: Import Data to MS SQL Database and Connect Using Python

Lecture 2: Exploratory Data Analysis using Datasist Library

Lecture 3: Feature Engineering

Lecture 4: Model Building by Training an Algorithm

Lecture 5: Model Deployment Using Streamlit

Lecture 6: Model Deployment Using FastAPI

Instructors

Olanrewaju Oyinbooke
ExSenior Cloud Advocate @ Microsoft| Data Scientist

Rating Distribution

1 stars: 4 votes

2 stars: 4 votes

3 stars: 23 votes

4 stars: 31 votes

5 stars: 52 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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