abhishekchhibber.com valuation and analysis

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Title Abhishek Chhibber - My Experiments with Machine
Description My experiments with Machine Learning and Natural Language
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WebSite abhishekchhibber faviconabhishekchhibber.com
Host IP 64.34.75.143
Location United States
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abhishekchhibber.com Valuation
US$1,051,658
Last updated: 2023-05-10 21:54:14

abhishekchhibber.com has Semrush global rank of 10,064,398. abhishekchhibber.com has an estimated worth of US$ 1,051,658, based on its estimated Ads revenue. abhishekchhibber.com receives approximately 121,346 unique visitors each day. Its web server is located in United States, with IP address 64.34.75.143. According to SiteAdvisor, abhishekchhibber.com is safe to visit.

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Purchase/Sale Value US$1,051,658
Daily Ads Revenue US$971
Monthly Ads Revenue US$29,123
Yearly Ads Revenue US$349,474
Daily Unique Visitors 8,090
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Abhishek Chhibber My Experiments with Machine Learning Home Philately Collection Email Me Back Email Handwritten Digit Recognition through Machine Learning I did a project to classify handwritten digits using machine learning in Python, almost an year back. I used Python’s Scikit Learn library, along with Pandas, and Numpy on an open data set, to read and classify handwritten digits. I used K Nearest neighbors and Decision Trees, and GridSearchCV to achieve an accuracy of 92.5%. The process that I followed is mentioned below, along with the .ipynb file with the code. The logic behind creating a machine learning classifier for any image is very simple. Scikit-learn only understands numbers and floats, and the number of columns for all the rows in the training and testing data sets should always be equal. Therefore, in order to use different images for training and testing data, the best way is to standardize them, and then covert to numbers. Thankfully, there is an open data set, which
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