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A Practical Guide to Object Detection using the Popular YOLO Framework – Part III (with Python codes)
Learn about YOLO Framework efficiency in object detection. Understand its functioning, bounding box encoding, IoU, anchor boxes, and Python
Pulkit Sharma 10 Jul, 2024
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5 Best Machine Learning GitHub Repositories & Reddit Discussions (November 2018)
This article is a collection of the most useful machine learning and deep learning GitHub repositories and Reddit discussions created in November 2018.
Pranav Dar 06 May, 2019
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Building a Random Forest from Scratch & Understanding Real-World Data Products (ML for Programmers – Part 3)
This article covers different Machine learning applications in business and necessary steps for Building a Random Forest from Scratch in Python.
Aishwarya Singh 25 Oct, 2024
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Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is an essential method to enable transfer learning for NLP tasks. This is a tutorial on Text Classification using ULMFiT & Fastai library in Python
Prateek joshi 30 Apr, 2020
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Reinforcement Learning: Monte Carlo in Reinforcement Learning
This detailed article covers an introduction to the Monte Carlo Reinforcement Learning and its Implementation in Python using OpenAI Gym.
Ankit Choudhary 15 Oct, 2024
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A Practical Implementation of the Faster R-CNN Algorithm for Object Detection (Part 2 – with Python codes)
A brief introduction to faster R CNN in Python. Learn the practical implementation of faster R CNN algorithms for object detection.
Pulkit Sharma 01 Jul, 2024
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Top 5 Machine Learning GitHub Repositories & Reddit Discussions (October 2018)
This article lists down the most awesome machine learning and deep learning GitHub repositories and Reddit discussions from October 2018!
Pranav Dar 06 May, 2019
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Text Summarization using the TextRank Algorithm (with Python)
Learn how to implement Automatic Text Summarization using the TextRank algorithm in Python, simplifying your text analysis tasks.
Prateek joshi 03 Feb, 2025
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An Intuitive Guide to Interpret a Random Forest Model using fastai library (Machine Learning for Programmers – Part 2)
Interpreting random forest model using fastai library in python using various techniques like dependence & tree interpreters in machine learning.
Aishwarya Singh 27 Aug, 2021
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Stock Market Price Prediction Using Deep Learning
Stock market predictions using machine learning and deep learning techniques, such as Moving Averages, knn, ARIMA, prophet, and LSTM.
Aishwarya Singh 14 Apr, 2025
