AmmanChhetri's repositories
DataStructure-Algorithms
I will post all my solutions and problems that i will do related to Data Structure and Algorithms
Weather-App
A Basic Weather App
ToDo-List
A Simple ToDo List
StacksAndQueues
Welcome to my GitHub repository dedicated to solving crucial problems related to stacks and queues! 🚀
DogBreedPrediction
Predicting the Dog Breed out of 120 different breeds ...using Transfer Learning
AI-Driven-Inventory-Optimization-and-Personalized-Recommendation-Platform
This repo has just the Small research on this topic
EV-Market-Segmentation
Performing a Segmentation of Indian EV-Market
Web-Scraping
Basic Demonstration of Web Scraping...using BeautifulSoup
Spotify-API
Repo depicts various usage of Spotify-API
LeetCode-Contest
This Repo contains the Solutions of Leetcode Weekly and BiWeekly Contest....(Including UpSolving!!!)
Sliding-Window
This Repo consists of various Sliding-Window interview questions of DSA...for your interview preparations...
User-Authentication
Authenticating Users quickly with the help of FAST-API and Token Authentication
first-contributions
🚀✨ Help beginners to contribute to open source projects
Machine-learning
Machine learning models for moodwave
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.
Hashing
This repository contains various questions on Hashing...
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.
Recursion-Backtracking
This Repository contains the basic questions of Recursion/Backtracking to build your logic and understanding about these topics...
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
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.
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
DynamicProgramming
This Repository contains various DynamicProgramming problems along with my code
Crop-Prediction
• 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