Machine Learning Project Bootcamp [ Live Coding ]
UpSkill with Success Analytics
16 modules
English
Certificate of completion
Lifetime access
Master machine learning through real-world coding projects.
Overview
In this Machine Learning Project Bootcamp [Live Coding] course, you will dive deep into the practical aspects of machine learning. Led by expert instructors, this bootcamp will guide you through hands-on coding projects to sharpen your machine learning skills. You will gain experience in developing real-world machine learning applications, from data preprocessing to model deployment. Get ready to build a solid foundation in machine learning through live coding exercises and enhance your expertise in this rapidly growing field.
Key Highlights
Practical approach to machine learning
Hands-on coding projects
Real-world application development
Data preprocessing and model deployment
Live coding exercises
What you will learn
Gain practical experience
Develop a strong practical understanding of machine learning by working on coding projects that tackle real-world challenges.
Enhance your coding skills
Improve your coding abilities through live coding exercises and learn to implement machine learning algorithms from scratch.
Learn data preprocessing techniques
Explore data cleaning, feature engineering, and data transformation methods to optimize the performance of your machine learning models.
Deploy machine learning models
Learn how to deploy your trained machine learning models into production environments for practical use and seamless integration.
Modules
Live Class Link
1 attachment
Live Class Link
Course Prerequisites
1 attachment
Python Programming
Introduction to Course
1 attachment • 1 hrs
Introduction to Course
Basics Understanding of Machine Learning
10 attachments • 4 hrs
Project Business Use case
Gather & Clean the Data
Explore and Visualize the Data
Mathematics for Machine Learning
Statistics for Machine Learning
Feature Engineering
Model Building
Exploratory Data Analysis- Day 1
Feature Engineering & Model Building - Day 2
Resourcs
Machine Learning for Smart Shipment Price Prediction
50 attachments • 27 hrs
Project Introduction
Project Business Use case
System Architecture
Component Selection
Deployment Architecture
ML Pipeline Explanation
Type of ML Pipeline
Training Pipeline
Retraining Pipeline
Introduction to Training Pipeline
Training Pipeline Implementation
Data Ingestion From Data Source ( Cloud, Database, Repository )
EDA, Data Preprocessing, Feature Engineering Model Selection
Customize Model Training
Model Training, Selection and Hyperparameter Tuning
Model Analysis and Evaluation
Understanding of the use of Artifact Generated by Training Pipeline
Data Preprocessing and Feature Engineering
Prediction using preprocessed data
Instance Prediction
Batch Prediction
Docker Implementation
Model Tracking, Model Registry, Logging
Data versioning
Drifting Concepts
Project Pipeline Understanding
Hands-on Project Architecture
Logging and Exception handling
Data Loder and Data Ingestion part 1
Data Ingestion Completed
Data Transformation Pipeline
Data Transformation Pipeline - Part 2
Data Transformation Pipeline Part - 3
Model Training Part - 1
Model Training Part - 2
Application Building
Docker Implementation
Project Integration with MLFLOW
DVC Live Session
Problem Statment
Resources
src
Project_data_ingestion_transformation
Data_transformation_Completed
Model_Training
Final Project End to End Web Application
Docker_File_Completed
Docker Sheet
DVC_project_Live_Class
Final Project Resources
Online Retailer Segmentation
37 attachments • 10 hrs
Project Introduction
Project Business Use case
System Architecture
Component Selection
Deployment Architecture
ML Pipeline Explanation
Type of ML Pipeline
Training Pipeline
Retraining Pipeline
Introduction to Training Pipeline
Training Pipeline Implementation
Data Ingestion From Data Source ( Cloud, Database, Repository )
Data Validation
EDA, Data Preprocessing, Feature Engineering Model Selection
Customize Model Training
Model Training, Selection and Hyperparameter Tuning
Model Analysis and Evaluation
Model Push/ Export
Understanding of the use of Artifact Generated by Training Pipeline
Data Preprocessing and Feature Engineering
Prediction using preprocessed data
Retraining Pipeline Implementation
Introduction to Retraining Pipeline
Model Analysis and Performance Monitoring of Prediction Pipeline
Creating Trigger to Initiate Model Retraining
Deployment of ML Pipeline on Cloud
Deployment of Retraining Pipeline
Customer_segmentation_final
Updated_requriments_file
Project Pipeline Understanding for Data Ingestion - Day 1
Data Ingestion - Day 2
Data Validation Live Class - Day 3
Data Validation - Day 3
Data Transformation Pipeline - Day 4
Data Transformation & Model Training
Model Evaluation, Model Pusher and Application Building
Data Ingestion from S3 Bucket - Optional
MLOPS Pipeline Discussion
9 attachments
AIML generic Steps
Machine learning pipeline Discussion
MlOps Introduction
Continuous Integration
Continuous Delivery
Continuous Training
Workflow level 0 Discussion
Workflow level 1 Discussion
Workflow level 2 Discussion
MLflow Introduction
2 attachments • 37.34 mins
Introduction to Mlflow
Installation and first trial of Mlflow
Exploring MLFLOW modules
4 attachments • 1 hrs
Exploring MLFLOW Tracking
End to End Machine Learning Project
MLFLOW Tracking Practical
MLFLOW Tracking Database
MLFLOW Logging
2 attachments • 29.91 mins
Logging ML Model using MLFLOW
Automatic Logging using MLFLOW
MLFLOW Model Versioning and Model Registry
4 attachments • 43.19 mins
Exploring MLFLOW Model Versioning and Model Registry
Model Registry Practical - 1
Model Registry Practical - 2
Resources File
Data Version Control ( DVC )
5 attachments • 1 hrs
Need of Data Versioning in Machine Learning
Available tools for Data Versioning
Data Version Control Architecture
DVC Implementation
DVC Live Session
Raise your demand - Open Discussion on upcoming project
1 attachment
Raise your demand - Open Discussion on any Projects / Topics
Resume and Interview preparation
3 attachments • 1 hrs
Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews
Resume Discussion and Job Strategy
Job Searching
4 attachments
LinkedIn Profile Making
How To Expand Your Professional Network On LinkedIn
How To Use Various Job Portals
How To Approach For Referrals
Resources & interview preparation
1 attachment • 1 mins
Interview preparation materials
Certification
When you complete this course you receive a ‘Certificate of Completion’ signed and addressed personally by me.
FAQs
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Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.
Can I interact with the instructor during the course?
Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.
About the creator
UpSkill with Success Analytics
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