Brochure
Enquire- Introduction
- Summary Of Dataset
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Model Building
- Lecture Resources
20+ End-To-End Machine Learning Projects & Deployment
BY
Eduonix
Gain an understanding to use Flask, Heroku, AWS, Google Cloud, Microsoft Azure, and Streamlit to implement Machine ...Read more
Online
₹ 199 995
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
20+ End-To-End Machine Learning Projects & Deployment online course aims to teach beginners and intermediate data science enthusiasts the most efficient ways to deploy machine learning models while practicing on projects to gain a better understanding of the course. The course is designed for the participants who want to master machine learning with python programming and utilize it for data analysis operations and become professional data scientists. This course will show them how to deploy their machine learning models in the cloud the way the industry does it.
20+ End-To-End Machine Learning Projects & Deploymentonline certification is created by Mr. Britt - Data Scientist, Product Manager & Instructor and is made available through Eduonix, an educational organization that provides learning materials for skill development to individuals who want to advance in their careers. Participants who wish to enroll in the 20+ End-To-End Machine Learning Projects & Deployment online training are advised to have a basic knowledge of Python Programming and machine learning to make their learning more efficient and effective.
The highlights
- Self-paced course
- English videos with subtitles
- 21.06 hours of pre-recorded video content
- Projects
- Assignments
- 68 online lectures
- 30-day money-back guarantee
- Accessible on portable devices
Program offerings
- Self-paced course
- English videos with subtitles
- Pre-recorded video content
- Online lectures
- Projects
- Assignments
- 30-day money-back guarantee
- Accessible on portable devices
Course and certificate fees
Fees information
₹ 199 ₹995
certificate availability
No
Who it is for
What you will learn
Machine learning
Data science knowledge
Knowledge of python
After completing the 20+ End-To-End Machine Learning Projects & Deployment certification course, participants will gain a thorough understanding of the fundamentals of machine learning and data science. Participants will learn how to integrate machine learning functions into Python scripts to analyze data for data science operations. Participants will be able to develop Flask APIs, deploy machine learning models, and make them available through cloud servers such as AWS, Azure, Google Cloud, Heroku, and Streamlight.
The syllabus
Breast Cancer Detection Using SVM And KNN
Introduction
- Welcome
Introduction To Google Colab
- Lecture Resources
- Introduction To Google Colab: Overview
- Introduction To Google Colab: Working With Text
- Introduction To Google Colab: Saving & Exporting Notebook
- Loading Dataset In Colab
Introduction To Jupyter Notebook
- Lecture Resources
- Getting Started With Anaconda
- Introduction To Jupyter Notebook: Code Vs Markdown Vs Raw
- Introduction To Jupyter Notebook: Working With Text
- Introduction To Jupyter Notebook: Working With Code(Saving & Exporting Notebook)
Bank Note Analysis
- Introduction
- Bank Note Analysis-EDA
- Bank Note Analysis-Getting Our Dataset Ready For Model Building
- Model Building 1
- Model Building 2
- Model Building 3
- Lecture Resources
Predicting Compressive Strength of Concrete-(Compare performance of 18 models)
- Introduction
- Data Preprocessing
- Exploratory Data Analysis (EDA) 1
- Exploratory Data Analysis (EDA) 2
- Feature Engineering
- Model Building 1
- Model Building 2
- Lecture Resources
Credit Card Fraud Detection-(Dealing With Data Imbalance)
- Introduction
- Exploratory Data Analysis (EDA)
- Model Building 1
- Model Building 2
Stock Market Clustering Using K-Means Algorithm
- Introduction
- Data Extraction And Analysis
- Model Building
- Lecture Resources
BigMart Sales Prediction
- Introduction
- Exploratory Data Analysis (EDA)
- Feature Engineering, Selection And Transformation
- Model Building
- Lecture Resources
Amazon Employee Access Challenge
- Introduction
- Exploratory Data Analysis (EDA)
- Model Building 1
- Model Building 2
- Lecture Resources
Project Deployement
Streamlit Project
- Demo
- Introduction to Streamlit 1
- Introduction to Streamlit 2
- Introduction to Streamlit 3
- Building Your First Streamlit App
- Building Your First Streamlit App-Advance 1
- Building Your First Streamlit App-Advance 2
- Building Your First Streamlit App-Advance 3
- Lecture Resources
- Quiz: Project Assignment
Flask Tutorial
- Flask Introduction
- Create Your First Flask App
- Create Your First Flask App: Linking HTML File
- Create Your First Flask App: Linking CSS File
- Lecture Resources
Flask Project and Deployment
- Introduction To Flask Deployment
- Introduction to Dataset
- Exploratory Data Analysis (EDA)
- Model Building
- Hands-On With Flask
- Creating The Necessary Folders
- Creating Folder Contents
- Final Deployment
Heroku Deployment
- Heroku Introduction
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Further Data Preparation
- Model Building And Hyperparameter Tuning
- Heroku Deployment 1
- Heroku Deployment 2
Google Cloud Deployment
- Google Cloud Introduction
- GCP Deployment Lesson
Amazon Web Service(AWS) Deployment
- Working With Dataset
- AWS Introduction
- Creating App.py File For Deployment
- Part 1: AWS Deployment
- Part 2: AWS Deployment
Microsoft Azure Deployment
- Azure Deployment
Instructors
Articles
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