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  • ๐Ÿ‘‹ Hi, Iโ€™m @deoudit
  • ๐Ÿ‘€ Iโ€™m interested in Coding and learning new stuff daily to make the difference
  • ๐ŸŒฑ Iโ€™m currently learning DataAnalysis/C++
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on ML/DeepLearning/NLP/ImageProcessing Projects
  • ๐Ÿ“ซ How to reach me [email protected]

Udit Deo's Projects

conda icon conda

OS-agnostic, system-level binary package manager and ecosystem

deoudit icon deoudit

Config files for my GitHub profile.

nltk icon nltk

In this project I had made a Recommender System which recommends the user with the similar types of movies in which the user may be interested in and SmsSpam Detection System which detects spams from Sms and can be used as a filter

platedetectionapp icon platedetectionapp

This will allow us to detect the Licence Number Plate of various vehicles especially Cars.

predicting-co2-emissions-using-multiple-linear-regression icon predicting-co2-emissions-using-multiple-linear-regression

In this Project, I will predict the CO2 emissions of different cars knowing the parameters such as Fuel consumption, EngineSize, Cylinders etcetera. And here comes the role of Multiple Linear Regression over the Simple Linear Regression as here we have to find an unknown knowing various knowns.

predicting-emails-of-two-persons-based-on-machile-learning icon predicting-emails-of-two-persons-based-on-machile-learning

One particular feature of Naive Bayes is that itโ€™s a good algorithm for working with text classification. When dealing with text, itโ€™s very common to treat each unique word as a feature, and since the typical personโ€™s vocabulary is many thousands of words, this makes for a large number of features. The relative simplicity of the algorithm and the independent features assumption of Naive Bayes make it a strong performer for classifying texts. In this mini-project, we use Naive Bayes to classify emails by author.

smart-agriculture icon smart-agriculture

In this the Goal is to predict the best crop suitable for that particular soil and climate.

the-complete-faang-preparation icon the-complete-faang-preparation

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

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