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Step-by-Step guide for Image Classification on Custom Datasets
In this blog, we will be discussing image classification among the images of hand gestures of rock, paper, and scissors using a VGG-19 model
Nithyashree 27 Jun, 2024
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Cheatsheet – 11 Steps for Data Exploration in R (with codes)
This cheat sheet highlights the list of data exploration steps in R. Data Exploration is useful to extract hidden insights and trends in data
Analytics Vidhya 11 Dec, 2015
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Quick Guide to Evaluation Metrics for Supervised and Unsupervised Machine Learning
Enhance your Data Science skills with ML evaluation metrics. From rand index to calinski-harabasz Index and mutual info for accuracy.
Manish 18 Jul, 2024
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Improving Neural Networks – Hyperparameter Tuning, Regularization, and More (deeplearning.ai Course #2)
This article is a complete guide to course #2 of the deeplearning.ai specialization - hyperparameter tuning, regularization, optimization in neural networks
Pulkit Sharma 19 Jul, 2020
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8 Useful R Packages for Data Science You Aren’t Using (But Should!)
Check out these 8 amazing R packages you should be using in your machine learning project but haven't heard of yet! Code plus examples included.
Analytics Vidhya 06 May, 2019
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Traffic Signs Recognition using CNN and Keras in Python
In this Deep Learning project, we will build a model for the classification of traffic signs recognition using CNN and Keras library.
Shikha Gupta 02 May, 2025
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Exploratory Data Analysis(EDA) in Python!
Exploratory data analysis is one of the best practices used in data science today. It is imporatnt as it helps in understanding the data.
Guest Blog 30 Jul, 2021
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Guide to Haar Cascade Algorithm with Object Detection Example
Discover the Haar Cascade Algorithm for object detection. Learn its implementation in OpenCV, real-time detection and its limitations.
Abhishek Jaiswal 08 Jan, 2025
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Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
Ankit Gupta 15 Oct, 2016
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How to avoid Over-fitting using Regularization?
Regularization is a way to avoid overfitting problems in Regression models. Article explains how to avoid overfitting, underfitting using regularization.
Tavish Srivastava 29 Oct, 2024
