Machine Learning Applications Course — 20+ Machine Learning Projects & Deployment 2021

Learn Data Science/ML with Projects and Practical Implementation. (Flask, Heroku, AWS, Google Cloud, Microsoft Azure)

What will you learn?

• Master Machine Learning with Python

• Learn Through 20+ Projects and Assignments

• Learn How to Deploy Machine Learning Models

• Hands-On Practical Data Science Project Mastery

• Build and Deploy on Flask, Heroku, Streamlit, AWS, Google Cloud, Microsoft Azure

• Create Powerful Machine Learning Models

• Learn Various Machine Learning Algorithms such as Linear and Logistic Regression, Naive Bayes, KNN, SVM, K-means, and more.

• Handle Data Imbalance (Upsampling/Downsampling/SMOTE)

• Gain Confidence in Performing Exploratory Data Analysis (EDA)

• Select the Right Machine Learning Model for Your Problem Statement

• Learn Required Statistics

• Key Data Analysis

Requirements

• This is a beginner to advanced level course with step-by-step guidance and detailed concept explanations.

Description

Interested in the field of Data Science and Machine Learning?

Interested in Building Projects and Deploying Data Science and Machine Learning Applications on platforms like AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?

Interested in learning it in a practical way?

Then this course is for you!!

This course will help you learn complex Data Science concepts and machine learning algorithms in a practical way for easier understanding.

We will guide you step by step through each topic, explaining every line of code for your comprehension.

There will be many fun, engaging, and powerful projects to better understand each concept under every topic.

We have structured this course in the following way:

• Machine Learning: Concepts | Lab Sessions | Exercises

• Hands-on Projects on each topic

• Project Deployment

• Streamlit Projects

• Flask Deployment Projects

• Heroku Deployment Projects

• Google Cloud Deployment Projects