Apollo-Blaze

FloodGuard

Flood Guard is a predictive modeling project aimed at assessing the risk of flooding in Kerala based on current rainfall conditions. Utilizing machine learning and data analysis techniques, this project leverages historical weather data to forecast potential flooding events, providing valuable insights for disaster management and response efforts.

Apollo-Blaze

Config files for my GitHub profile.

A.L.O.H.A

ALOHA is an AI driven personal assistant designed to help users manage their tasks, events, and categories. Leveraging Natural Language Processing (NLP) and Machine Learning (ML), ALOHA can understand user commands and perform various functions such as adding, deleting, and listing tasks or creating categories.

LearnSpectra

LearnSpectra is an educational web application designed to assist teachers in analyzing and understanding educational materials.

AI-Ms-Pac-Man

This repository contains a Python implementation of a Deep Convolutional Q-Learning (DCQN) agent trained to play Ms. Pac-Man. The agent learns to navigate the game environment and maximize its score using a convolutional neural network and reinforcement learning techniques.

Lunar-Lander-Q-Learning

This repository contains a Python implementation of a Deep Q-Learning agent trained to master the Lunar Lander environment from OpenAI Gym. The agent learns to land a spacecraft safely on the lunar surface by interacting with the environment and optimizing its actions based on rewards.

Time-Series-Forecasting

This project focuses on forecasting time series data using LSTM models. It includes data preprocessing, model training, and evaluation steps.

Reddit_Topic_Modeling

This project uses Python to perform topic modeling on Reddit comments. It leverages libraries like praw for accessing Reddit data, nltk for text preprocessing, and sklearn for topic modeling using Latent Dirichlet Allocation (LDA).

RNN-Quote-Generator

A Recurrent Neural Network (RNN) based Quote Generator that uses LSTM layers to generate text sequences. This project demonstrates the use of TensorFlow and Keras for building and training a model to generate quotes based on a given text dataset.

RNN-Poetic-Text-Generator

A Recurrent Neural Network (RNN) based model to generate poetic text using Shakespeare’s works. This project leverages TensorFlow and Keras to train a model on Shakespearean text and generate new, creative text sequences.

Loan-Default-Prediction-Using-Keras

A machine learning project to predict loan default using historical data from LendingClub. The project utilizes Keras for building and training a neural network model to classify whether a borrower will repay their loan or default.

Breast-Cancer-Classification

A deep learning project to classify breast cancer as malignant or benign using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The project employs a neural network model built with TensorFlow and Keras.

House-Price-Prediction-Using-Neural-Networks

This repository contains a project for predicting house prices using neural networks. The dataset used is from Kaggle’s house sales prediction dataset. The project includes data preprocessing, exploratory data analysis, model building, training, and evaluation.

Basics-of-Data-Science

My repository containing the fundamental concepts I learned during my data science course.

NLP-YelpReviewClassifier

This project classifies Yelp reviews into 1-star or 5-star categories using text content. It utilizes the Yelp Review Data Set from Kaggle and employs various NLP techniques and machine learning models

NLP_Spam_Detection

A Natural Language Processing (NLP) project using Python to detect spam messages from a dataset of SMS phone messages. The project involves data preprocessing, feature extraction using Bag of Words and TF-IDF, and classification using Naive Bayes and Random Forest classifiers.

mediator-front

Mediator is a website designed to facilitate collaboration between content creators and businesses, creating a dynamic ecosystem for innovation and creativity. This is a site I made for the same company as part of my internship project

KMeans_University_Clustering

A project utilizing K-Means Clustering to categorize universities into private and public groups based on various features such as number of applications, enrollment rates, tuition costs, and more. This project demonstrates the application of unsupervised learning techniques in data analysis and visualization.

FlowerClassification-SVM

A comprehensive project analyzing the famous Iris flower dataset using Support Vector Machines (SVM). This project includes data visualization, model training, evaluation, and parameter tuning using GridSearchCV.

Titanic-Survival-Prediction

A machine learning project to predict the survival of passengers on the Titanic using logistic regression. The dataset used is the Titanic dataset from Kaggle, and the project includes data preprocessing, visualization, and model training.

Loan_Default_Prediction

This project explores publicly available data from LendingClub.com to create a model predicting whether borrowers will fully repay their loans. It involves data analysis, visualization, and building decision tree and random forest models.

KNN_Project

This project demonstrates the implementation of the K-Nearest Neighbors (KNN) algorithm using Python. It includes data preprocessing, model training, evaluation, and selection of the optimal K value using the elbow method.

AdClickPredictor

A project to predict whether an internet user will click on an advertisement using logistic regression. The dataset includes features such as daily time spent on site, age, area income, daily internet usage, and more.

Ecommerce-Linear-Regression

A linear regression analysis project for an e-commerce company to determine whether to focus on mobile app or website development based on customer data.

EDA-Bank_Data

This project focuses on performing exploratory data analysis (EDA) on bank stock market data retrieved from Yahoo Finance. The analysis aims to uncover insights related to the performance of bank stocks, trends in stock prices, and correlations between different financial indicators.

911

This capstone project focuses on analyzing 911 calls data to uncover patterns, trends, and insights. The dataset includes information about the nature of the emergency, the time and date of the calls, and other relevant details. The analysis aims to identify high-frequency call types, peak hours, among other insights.

Data-Science-Basics

contendator

application which filters out racist , steriotypical comments and contents which hold prjudice against specific religion, cast , color or religion and gives it a mark accordingly.

QR-generator

A QR code generator that creates Quick Response (QR) codes. These codes can be scanned using a QR code reader, typically available on smartphones, to quickly access the encoded information, such as a website URL or contact details

Keylogger

This Python script logs keystrokes and sends them via email using Gmail’s SMTP server. It includes configurable settings in the send_email.py file