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Syam Kakarla
Syam Kakarla

739 Followers

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Mastering the Google Cloud Professional Data Engineer Exam in 2023: Strategies and Resources

This article offers tips and resources for mastering the Google Cloud Professional Data Engineer exam in 2023. —

Data Engineering

12 min read

Mastering the Google Cloud Professional Data Engineer Exam in 2023: Strategies and Resources
Mastering the Google Cloud Professional Data Engineer Exam in 2023: Strategies and Resources
Data Engineering

12 min read


Published in Towards Data Science

·Pinned

Character Recognition and Segmentation For Custom Data Using Detectron2

Use the power of Transfer Learning — Table of Contents What is Detectron2? Project Setup Build the Model Training and Evaluation Results Resources What is Detectron2? Detectron2 is an opensource object recognition and segmentation software system that implements state of the art algorithms as part of Facebook AI Research(FAIR). …

Machine Learning

6 min read

Character Recognition and Segmentation For Custom Data Using Detectron2
Character Recognition and Segmentation For Custom Data Using Detectron2
Machine Learning

6 min read


Published in Towards Data Science

·Pinned

Beginners Guide to PySpark

Chapter 1: Introduction to PySpark using US Stock Price Data — PySpark is an API of Apache Spark which is an open-source, distributed processing system used for big data processing which was originally developed in Scala programming language at UC Berkely. The Spark has development APIs in Scala, Java, Python, and R, and supports code reuse across multiple workloads — batch…

Python

9 min read

Beginners Guide to PySpark
Beginners Guide to PySpark
Python

9 min read


May 5, 2022

Satellite Imagery Analysis 101: Handling TIFF Files

A detailed explanation of handling satellite imagery in the format of .tiff files using Python. — There is no need to articulate the expanding applications of Satellite and Hyperspectral Imagery which range from our daily necessities such as food and water to space exploration. Thereby we store the said data in different file formats based on utilization such as Tag Image File Format(.tiff), Binary MatLab file…

Machine Learning

3 min read

Satellite Imagery Analysis 101: Handling TIFF Files
Satellite Imagery Analysis 101: Handling TIFF Files
Machine Learning

3 min read


Published in Geek Culture

·Dec 22, 2021

Remote Sensing: Deep Learning for Land Cover Classification of Satellite Imagery Using Python

A detailed explanation and Implementation of the 3D-CNN model for land cover classification of satellite imagery using Python. — There is no need to articulate the importance of satellite imagery analysis in today’s world. The applications of satellite imagery have been crucial to solving a lot of problems not only related to humanity but also the ecosystem. With help of the extensive research in Artificial Intelligence-driven applications, we are…

Python

8 min read

Remote Sensing: Deep Learning for Land Cover Classification of Satellite Imagery Using Python
Remote Sensing: Deep Learning for Land Cover Classification of Satellite Imagery Using Python
Python

8 min read


Published in Python in Plain English

·Jul 8, 2021

Auto Encoders for Land Cover Classification in Hyperspectral Images

Part 2: Auto Encoders for land cover classification in Hyperspectral Images using K-Nearest Neighbor Classifier(K-NNC), Support Vector Machine(SVM), and Gradient Boosting using Python. — Table of Contents Quick Recap K-Nearest Neighbor Classifier Support Vector Machine Gradient Boosting Conclusion References Quick Recap A hyperspectral image is an image cube with the shape of R x C x B. where R and C are the image's height and width. B represents the no. of bands in the image.

Machine Learning

7 min read

Auto Encoders for Land Cover Classification in Hyperspectral Images
Auto Encoders for Land Cover Classification in Hyperspectral Images
Machine Learning

7 min read


Published in Towards Data Science

·Mar 5, 2021

Land Cover Classification of Satellite Imagery using Python

Land cover classification of Sundarbans satellite imagery using K-Nearest Neighbor(K-NNC), Support Vector Machine (SVM), and Gradient Boosting classification algorithms with Python. — This article helps readers to better understand land cover classification on Sundarbans satellite data using different classification algorithms with Python. Table of Contents Sundarbans Satellite Imagery K-Nearest Neighbor Classifier (K-NNC)

Machine Learning

7 min read

Land Cover Classification in Satellite Imagery using Python
Land Cover Classification in Satellite Imagery using Python
Machine Learning

7 min read


Published in Towards Data Science

·Feb 1, 2021

Comprehensive Guide to Satellite Imagery Analysis using Python

Different methods and Machine Learning techniques to analyze satellite imagery using Python with hands-on tutorials and examples. — This article helps users to understand the different methods and supervised and unsupervised machine learning techniques to analyze satellite imagery using Python with hands-on tutorials and examples. Contents Satellite Imagery Indices Supervised Learning in Satellite Imagery

Machine Learning

5 min read

Comprehensive Guide to Satellite Imagery Analysis using Python
Comprehensive Guide to Satellite Imagery Analysis using Python
Machine Learning

5 min read


Published in Towards Data Science

·Feb 1, 2021

Embed Interactive charts in Medium/Websites using Plotly and Chartstudio with Python

Embed your interactive plots in Medium, Webpages, and other platforms using Plotly and Chartstudio — There is no such thing as information overload. There is only a bad design. — Edward Tufte We all know a picture is worth a thousand words, data visualization is the visual summary of the information that makes it easier to understand/identify patterns and trends instead of looking at thousands…

Data Science

3 min read

Embed Interactive charts in Medium/Websites using Plotly and Chartstudio with Python
Embed Interactive charts in Medium/Websites using Plotly and Chartstudio with Python
Data Science

3 min read


Published in Towards Data Science

·Jan 8, 2021

Satellite Imagery Analysis using Python

A detailed explanation of Data Analysis on Sundarbans Satellite Imagery using Python — This article helps readers to better understand the satellite data and different methods to explore and analyze the Sundarbans satellite data using Python. Table of Contents Sundarbans Satellite Imagery Data Analysis Vegetation and Soil Indices Water Indices Geology Indices Conclusion References Let’s get started ✨

Data Science

8 min read

Satellite Imagery Analysis using Python
Satellite Imagery Analysis using Python
Data Science

8 min read

Syam Kakarla

Syam Kakarla

739 Followers

Data Engineer, Machine Learning Practitioner and Data Science Enthusiast, https://www.linkedin.com/in/syam-kakarla/

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