imyaash Goto Github PK

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.

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.

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.

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.

genderrecsysv1

imaginfusion

A text guided 3D model generation model & application. An implemntation of DreamFusion approach with UIs.

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).

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.

speech-to-text-model

Using Tensorflow Speech Recognition Dataset to create a Speech-to-Text Model in Python

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.

uber-data-analysis

Understanding the data by of visualizing.

video2audioconverter

Converting Video 2 Audio

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.

youtube-transcriber

Transcribing YT Videos