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LearnMLAcademy

About Us

A platform created to simplify Machine Learning, Data Science, Artificial Intelligence, and Python programming for students, beginners, and technology enthusiasts.

Meet the Founder

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Prateek Sharan

Technology Professional & Educator

Bengaluru, India

This website is founded and managed by Prateek Sharan, a technology professional based in Bengaluru, India, with experience in Machine Learning concepts, Data Engineering, and cloud-based data pipeline development. He has worked on enterprise-level AWS data solutions involving services such as AWS Glue, Lambda, SNS, SQS, Redshift, Apache Airflow, Databricks, and Spark SQL, particularly in banking and data-driven environments.

Machine LearningData EngineeringAWS GlueApache AirflowDatabricksSpark SQLRedshiftPythonAWS Lambda
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Our Mission

The main goal of this platform is to make technical learning simple, practical, and beginner-friendly. Many students struggle to understand Machine Learning because most resources are either too theoretical or too advanced. This platform focuses on explaining concepts step by step using easy language, practical examples, case studies, algorithms, and coding implementations that learners can actually understand and apply.

What We Cover

Machine Learning Algorithms

Python Programming

Artificial Intelligence

Data Science & Analytics

Deep Learning

Cloud & AWS Data Pipelines

Data Engineering Concepts

Data Visualization

Real-world Projects & Case Studies

Who This Platform Is For

We strongly believe that learning should be accessible to everyone, regardless of their background or experience level.

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College Students

Building foundational knowledge in ML and AI for academics and placement preparation.

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Beginner Programmers

Just starting out with Python and wanting to enter the world of data science.

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Aspiring Data Scientists

Looking to transition into a data science or ML engineering career.

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Working Professionals

Upskilling in cloud data pipelines, ML and modern data engineering tools.

Our Commitment to Quality

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Original content — Every tutorial is written from scratch — not copied or auto-generated. Each page reflects real practical experience.
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Beginner friendly — Every concept is explained in plain English first, then backed up with mathematics and code.
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Regularly updated — Content is kept current with the latest library versions, tools and industry best practices.
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Free forever — Core tutorials will always be free and accessible to everyone, everywhere.
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Transparent — Affiliate relationships are fully disclosed. Editorial independence is maintained.

Get in Touch

Thank you for visiting and being part of this learning journey. Have feedback, found an error, or want to suggest a topic? We read every email and respond within 48 hours.

machinelearningacademy83@gmail.com