ammanchhetri Goto Github PK

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Hi, I'm Amman Chhetri!

A passionate programmer from India, currently studying at VIT Chennai, a sophomore in

B.Tech Computer Science and Engineering with Specialization in AI and ML.

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ammanchhetri's Projects

ai-driven-inventory-optimization-and-personalized-recommendation-platform

This repo has just the Small research on this topic

arrays

This repository contains a collection of array-based questions categorized into three difficulty levels: Easy, Medium, and Hard.

binary-search

This repo contains some of the famous and important questions on the topic of Binary Search for the interviews.

• Employed diverse machine learning models to forecast the optimal crop based on specific environmental conditions and Attained an impressive accuracy rate of 99 percent using the Naive Bayes algorithm

dogbreedprediction

Predicting the Dog Breed out of 120 different breeds ...using Transfer Learning

dynamicprogramming

This Repository contains various DynamicProgramming problems along with my code

email-spam-filtering

• Dealt with a vast and unstructured dataset by strategically subsampling 1000 data entries at a time, ensuring equal representation of both spam and non-spam emails to tackle data imbalance effectively & used cutting-edge NLP techniques to thoroughly clean the data & by this was able to achieve outstanding accuracy boost elevating the performance

emotion-recognition-through-text

This GitHub repo hosts a potent emotion recognition model for text data. It utilizes various machine learning algorithms like RandomForest, LogisticRegression, SVM, DecisionTrees and LSTM neural networks, also uses LIME for interpretation of predictions , bolstered by gloVe embeddings, achieving 93% accuracy.

ev-market-segmentation

Performing a Segmentation of Indian EV-Market

first-contributions

🚀✨ Help beginners to contribute to open source projects

hashing

This repository contains various questions on Hashing...

heart-disease-prediction

Implemented various classification models (LogisticRegression, K-Nearest Neighbors, RandomForestClassifier,XGBoost and CatBoost) to detect whether the person is suffering from Heart-Disease or not

leetcode-contest

This Repo contains the Solutions of Leetcode Weekly and BiWeekly Contest....(Including UpSolving!!!)

machine-learning

Machine learning models for moodwave

mcdonaldscasestudy

predicting-saleprice-of-bulldozers

This is a famous time-series analysis problem of Kaggle...used various machine learning models like RandomForestRegressor, CatBoostRegessor, XGBoostRegressor....along with the RandomizedSearchCV and with log-Scaling....and was able to get a minimum Root-Mean-Squarred-log-error(required evaluation metric) as 0.24.