Yash Panchal's repositories
Association-Rule-Mining-for-Online-Shopper-s-Intention
This code creates association rules from the online shopper's intention dataset using the apriori algorithm. Association rules are used to identify relationships between variables in a dataset and can be used to predict outcomes.
AudioTranscriber
Audio Transcription using SpeechRecognition Module
Clustering-and-Dimensionality-Reduction
This project aims to predict whether a couple is likely to get divorced or not based on various factors such as age, number of children, education, and religious values.
Credit-Card-Fraud-Detection
This is a Python script that analyses the credit card fraud dataset by performing pre-processing, feature selection, and classification using several models.
Exploring-Relationship-Between-Greenhouse-Gas-Emissions-Economic-Indicators-in-Europe-Asia
This project explores the relationship between greenhouse gas emissions and economic indicators in Europe and Asia. The project includes an R script for analysing the data and a PowerBI file for visualising the results.
ImaginFusion
A text guided 3D model generation model & application. An implemntation of DreamFusion approach with UIs.
Sensorless-Drive-Diagnosis
This repository contains a machine learning pipeline for classifying the quality of sensorless drives based on various features. The pipeline is implemented in Python using the pandas, numpy, sklearn, and matplotlib libraries.
theOneMLFunction
This Python script provides a one-stop machine learning function that can handle both regression and classification tasks. It includes data cleaning, feature selection, model training, hyperparameter tuning, result printing, and model ensembling.
Tourist-Accomodation-Review-Sentiment-Analysis-and-Text-Mining
This code performs sentiment analysis on a dataset of tourist accommodation reviews. The dataset, tourist_accommodation_reviews.csv, is provided alongside this code.
Wine-Recommendation-System
Identifying the characteristics of a Wine and searching for other wines that match those characteristics. Then ranking them based on Points and Price.
CreditCardFraudDetection
Developing Credit Card Fraud Detection Model using Machine Learning. I have used a variety of ML algorithms to implement this model and also plotted the respective performance curves for the models.
Fake-News-Detection
Building a model to detect Fake News in Python using a Passive Aggressive Classifier.
FIFA-Data-Analysis-Predictive-Modeling-Recommendation-Modeling
Trying to understand the players population in the FIFA games. To understand the features/variable contributing towards the overall of the player and build a predictive model that could estimate of the overall of the player with accuracy. Also, build a model to predict the value of the player with accuracy and least numbers of variables. And build a model to recommend the most similar players to a particular player.
Semtiment-Analysis-Model
Classification of words of as sentence or a book to determine sentiments and opinions weather positive or negative in polarity. I have use a binary classification instead of a multiple (sad, happy angry, etc).
Speech-to-Text-Model
Using Tensorflow Speech Recognition Dataset to create a Speech-to-Text Model in Python
Uber-Data-Analysis
Understanding the data by of visualizing.
Video2AudioConverter
Converting Video 2 Audio
YouTube-Transcriber
Transcribing YT Videos