Pinned Repositories
Data-Science-Projects
The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.
spam-message-detector
This is a Mobile Message message detector project . A Machine Learning Model is Trained to Predict the entered message is a spam or a Genuine message.
fresher-salary-prediction-using-linear-reggression
This is a fresher salary prediction system made from a data set that was taken from kaggle and then trained using linear reggression method.
Top-News-Headlines-Reader
This system gives to "N" News of India where N is a Number between 1 to 30 Given as Input by User.
Desktop-Voice-Assistant-python
This is a desktop voice assistant made from python
Chatbot-Therapist-using-OpenAI-Python-Gradio
This GitHub repository contains a Python script for an AI Therapist Chatbot powered by OpenAI's GPT-3.5 Turbo model. The chatbot is designed to engage with users in a supportive and empathetic manner, providing responses to user queries and messages.
Automatic-balcony-light
sensor will detect the darkness and switch on the light automatically.
BLUETOOTH-HC05-WITH-ARDUINO
coffin-dance-music-with-arduino
Now you can play the famous coffin dance music with Arduino with the help of a buzzer or 8 ohm speaker
Icecream-website
IceCream store website
Abhinav330's Repositories
Abhinav330/Unsupervised-learning-Groping-of-schools
This Python notebook demonstrates an exploratory data analysis (EDA) and clustering exercise using the pandas, seaborn, and matplotlib libraries. The code works with a dataset called 'College_Data' and explores college-related attributes, including 'Private' status, graduation rates, and enrollment data.
Abhinav330/Iris-dataset-classic-ml-problem
This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.
Abhinav330/Customer-behavior-Analysis-Linear-Regression
This repository explores customer behavior data for an NYC clothing company with both a mobile app and website. They want to understand which platform drives higher sales.
Abhinav330/Website-Click-stream-analysis
This repository explores a dataset of advertising data to predict user clicks on ads. It uses Logistic Regression, a powerful machine learning technique for binary classification.
Abhinav330/ML-implementation-on-Classified-data
This repository implements a K-Nearest Neighbors (KNN) model in Python for predicting loan defaults. It analyzes the KNN_Project_Data dataset (features & binary target 'TARGET CLASS').
Abhinav330/Loan-Repayment-Analysis
This repository implements a machine learning workflow for predicting loan defaults using Python libraries: pandas, seaborn, matplotlib, and scikit-learn. It analyzes the loan_data.csv dataset to classify applicants as likely to default (binary classification).
Abhinav330/Instagram-Influencers-Analysis
This Jupyter Notebook focuses on preprocessing and visualizing data from an Instagram profiles dataset. It includes data loading, inspection, visualization, and some data preprocessing steps.
Abhinav330/Network-Analysis-Facebook-Friends
This Python script analyzes a social network using the NetworkX library
Abhinav330/Credit-Score-Classification-problem
This project aims to analyze credit card customer data, clean the dataset using libraries such as Pandas and NumPy then create a machine learning model using sklearn
Abhinav330/Abhinav.github.io
Abhinav330/linkedIn_auto_jobs_applier_with_AI
LinkedIn_AIHawk is a tool that automates the jobs application process on LinkedIn. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personalized way.
Abhinav330/Test
Abhinav330/Classification-problem-using-ensambling-on-titanic-dataset
a classification problem using ensemble methods on the Titanic dataset.
Abhinav330/911-Emergency-Calls-analysis
This Python Notebook analyzes emergency call data from the '911.csv' dataset. It uses various data visualization techniques to explore and gain insights into the emergency call data, including the types of calls, reasons for calls, and call patterns over time.
Abhinav330/Linear-Regression-Project-on-House-Pricing
This Python notebook is a simple housing price prediction model using linear regression.
Abhinav330/Chatbot-Therapist-using-OpenAI-Python-Gradio
This GitHub repository contains a Python script for an AI Therapist Chatbot powered by OpenAI's GPT-3.5 Turbo model. The chatbot is designed to engage with users in a supportive and empathetic manner, providing responses to user queries and messages.
Abhinav330/Data-Science-Projects
The Data Science Projects folder contains various projects related to data analysis, machine learning, and exploratory data analysis (EDA). Each project focuses on a specific dataset and utilizes different techniques and algorithms to extract insights and make predictions.
Abhinav330/Abhinav330
Abhinav330/ML-Documnets
It will contain different documnts related to different ML things.
Abhinav330/Python
Abhinav330/Python-Jarvis
Abhinav330/EDA-on-911-dataset
Abhinav330/Bluetooth-Rocket-Launcher-System
Abhinav330/Music-reactive-light
project / product
Abhinav330/Ml-and-IoT
This repository is for showing how ML and IOT is implemented together to know more please watch the video.
Abhinav330/Arduino-Workshop
Abhinav330/Auto-hand-despenser
How to make Automatic Hand Dispenser using Arduino.
Abhinav330/Digital-Scale
how to make a digital Scale for measuring distance in cm and Inch using arduino.
Abhinav330/spam-message-detector
This is a Mobile Message message detector project . A Machine Learning Model is Trained to Predict the entered message is a spam or a Genuine message.
Abhinav330/fresher-salary-prediction-using-linear-reggression
This is a fresher salary prediction system made from a data set that was taken from kaggle and then trained using linear reggression method.