Suhas Maddali – Medium

Published in Towards Data Science

·Mar 15

Clearing the Dust: How CNNs and Transfer Learning Can Detect Dust on Solar Panels

With the aid of convolutional neural networks and transfer learning, it is possible to build a classifier in determining whether solar panels are clean or dusty — Solar panels have become a popular source of renewable energy in a variety of industries, from agriculture and transportation to construction and hospitality. By harnessing the power of the sun, we can generate electricity without harming the environment. However, there are challenges associated with using solar panels, and one of…

15 min read

Clearing the Dust: How CNNs and Transfer Learning Can Detect Dust on Solar Panels

15 min read

Published in Towards Data Science

·Mar 7

Unleash the Hidden Patterns: A Guide to Unsupervised Machine Learning for Article Recommender System

Build an article recommender system with unsupervised machine learning and generate features and patterns that aid in the recommendation — There have been a lot of talks lately about the incredible capabilities of artificial intelligence and machine learning. As we go on to see various frontiers at which ML could be applied, there is a growing possibility of higher value generated as a result of this transition. …

8 min read

Unleash the Hidden Patterns: A Guide to Unsupervised Machine Learning for Article Recommender…

8 min read

Published in Towards Data Science

·Feb 22

Boost Machine Learning Model Performance through Effective Feature Engineering Techniques

Learn the right feature engineering techniques when applied to credit card fraud detection problem that improves the overall accuracy of machine learning models — Machine learning and data science are used in a large number of industries. One of the most popular applications of data science is in the field of finance. A lot of companies are trying to automate tasks such as whether to give loans to lenders or not to whether a…

Machine Learning

10 min read

Boost Machine Learning Model Performance through Effective Feature Engineering Techniques

Machine Learning

10 min read

Jan 31

Exploratory Data Analysis (EDA) on Airline Sentiment Tweets

Learn various ways to explore airline sentiment data and understand key factors that contribute to the overall sentiment of tweets on various airlines — When we browse the internet, we tend to see a lot of advances and innovations taking place in the field of machine learning and data science. …

10 min read

Exploratory Data Analysis (EDA) on Airline Sentiment Tweets

10 min read

Published in Towards Data Science

·Jan 10

How can Machine Learning be used in Audio Analysis?

Learn how machine learning could be used to analyze audio signals and generate predictions for both classification and regression tasks — Machine learning has been gaining rapid traction in the recent decade. In fact, it is being used in numerous industries such as healthcare, agriculture, and manufacturing. There are a lot of potential applications of machine learning being created with the advancement of technology and computational power. …

5 min read

How can Machine Learning be used in Audio Analysis?

5 min read

Published in Towards Data Science

·Jan 6

Various Types of Deployment in Machine Learning

Learn various deployment strategies for successfully building an end-to-end machine learning pipeline — There is a lot of scope and demand for machine learning, especially in the latest self-driving industry where drivers are given assistance with the aid of AI. Furthermore, there are other industries benefiting such as the pharmaceutical industry that are beginning to use AI in building interesting products that are…

6 min read

Various Types of Deployment in Machine Learning

6 min read

Dec 13, 2022

Essential Feature Engineering Techniques in Data Science

While the implications of machine learning and data science can have a tremendous impact on society, failing to use the right feature engineering techniques can often lead to machine learning models not performing efficiently and giving sub-par results. Artificial intelligence has long been a topic that fascinates the masses, and…

Machine Learning

8 min read

Essential Feature Engineering Techniques in Data Science

Machine Learning

8 min read

Published in Towards Data Science

·Nov 18, 2022

How to Avoid Mistakes in Data Science

Understanding the occurrence of various mistakes in data science, especially when building machine learning code is useful for practitioners of data science and artificial intelligence. In this article, we would be exploring steps to avoid these mistakes and improve productivity. — Machine learning and data science are being used in a wide variety of applications. Some of the cool applications of machine learning are in self-driving cars and also in banking industries of whether a person is going to default on a loan based on a set of features. …

8 min read

How to Avoid Mistakes in Data Science

8 min read

Published in Towards Data Science

·Nov 11, 2022

Which Feature Engineering Techniques improve Machine Learning Predictions?

Understanding the various feature engineering techniques can be handy for an ML practitioner. After all, features are one of the most determining factors about how machine learning and deep learning models perform in real-time. — When it comes to machine learning, the thing that one can do to improve the ML model predictions would be to choose the right features and remove the ones that have negligible effect on the performance of the models. Therefore, selecting the right features can be one of the most…

9 min read

Which Feature Engineering Techniques improve Machine Learning Predictions?

9 min read

Published in Towards Data Science

·Nov 2, 2022

Step-by-step Approach of Building Data Pipelines as a Data Scientist or a Machine Learning Engineer

Learn how to build interesting pipelines in the field of machine learning to develop a system that can perform AI capabilities — Oftentimes we are asked in either interviews or in our job roles as data scientists to build an application that is capable of performing machine learning predictions for continuous streaming data. …

8 min read

Step-by-step Approach of Building Data Pipelines as a Data Scientist or a Machine Learning Engineer

8 min read

Suhas Maddali

Suhas Maddali

🚖 Ex-Data Scientist Intern @ NVIDIA 📘 9000+ Followers (LinkedIn) 📝 Author @ Towards Data Science 📹 YouTuber 🤖 100+ GitHub Followers 👨‍💻 Views are my own.

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