Shubhammer7

Bitcoin-NewsArticles-Sentiment-Analysis

This project is an extensive analysis of online articles related to Bitcoin, aiming to extract meaningful insights from the ever-evolving discourse surrounding this cryptocurrency. It's a two-part process involving web scraping to collect data and then applying various data analysis techniques, including sentiment analysis, to interpret this data

Generative-AI-for-Math-Problem-Creation

This project focuses on developing an end-to-end solution for generating math problems using generative AI techniques. The model is being fine-tuned to improve its accuracy and relevance in creating diverse and challenging math problems.

NumberScribe

An end-to-end machine learning project that recognizes handwritten digits using neural networks. Draw a number and let the model predict it with impressive accuracy!"

Naive_Bayes_Spam_Classifier

Welcome to Naive_Bayes_Spam_Classifier, a robust and efficient machine learning repository dedicated to detecting and filtering spam emails using the Naive Bayes classifier.

Take-two-interactive_stock_prediction

This is a stock prediction project of the ticker TTOW ('Take Two Interactive') using the LSTM model

RaceCarNN

A-B-Testing-for-Auction-Formats

Agro_Nutri_Causal_Analysis

Boston-Housing-Prediciton

Running a multiple linear regression model on the Boston Housing Dataset

Boston_Marathon_Statistical_Analysis

Shubhammer7/Movies-Data-Analysis

Shubhammer7/personal_website

Shubhammer7/ML-PARK

For exploring and building various machine learning models from scratch.

Shubhammer7/RaceCarNN

Shubhammer7/NumberScribe

An end-to-end machine learning project that recognizes handwritten digits using neural networks. Draw a number and let the model predict it with impressive accuracy!"

Shubhammer7/A-B-Testing-for-Auction-Formats

Shubhammer7/Generative-AI-for-Math-Problem-Creation

This project focuses on developing an end-to-end solution for generating math problems using generative AI techniques. The model is being fine-tuned to improve its accuracy and relevance in creating diverse and challenging math problems.

Shubhammer7/EDA-IPL-Cricket

Shubhammer7/Stock-analysis-app

Shubhammer7/mandelbrot-set.io

Shubhammer7/Churn_modelling_ANN

This project is focused on the application of Artificial Neural Networks (ANN) for predicting customer churn, specifically for a banking dataset. Using customer data, the project aims to identify patterns and factors contributing to customer churn and leverage these insights to predict future churn probabilities.

Shubhammer7/Sci-Fi-story-generator-AI

Shubhammer7/DSA

Shubhammer7/breast_cancer_detection

Shubhammer7/cars_fuel_efficiency

Shubhammer7/nba_analysis

Shubhammer7/Boston_Marathon_Statistical_Analysis

Shubhammer7/Uber_Data_ETL_Pipeline

Shubhammer7/CIFAR_DATA_IMAGE_CLASSIFICATION

Shubhammer7/Naive_Bayes_Spam_Classifier

Welcome to Naive_Bayes_Spam_Classifier, a robust and efficient machine learning repository dedicated to detecting and filtering spam emails using the Naive Bayes classifier.

Shubhammer7/Bitcoin-NewsArticles-Sentiment-Analysis

This project is an extensive analysis of online articles related to Bitcoin, aiming to extract meaningful insights from the ever-evolving discourse surrounding this cryptocurrency. It's a two-part process involving web scraping to collect data and then applying various data analysis techniques, including sentiment analysis, to interpret this data

Shubhammer7/Agro_Nutri_Causal_Analysis

Shubhammer7/chatbot

Shubhammer7/Credit_Card_approval

Shubhammer7/Take-two-interactive_stock_prediction

This is a stock prediction project of the ticker TTOW ('Take Two Interactive') using the LSTM model

Shubhammer7/loan_eligibility-prediction

Logistic Regression Project

Shubhammer7/Number-Image-Classification_CNN

Shubhammer7/Spam-Emails_Naive_Bayes

Shubhammer7/Boston-Housing-Prediciton

Running a multiple linear regression model on the Boston Housing Dataset

Shubhammer7/Spotify_data-pipeline