Abhinav Pratap Singh's repositories
Smarttrak_assignment
Code_Agent
IRIS_Species_Classifier
The Iris Species Classification App is a web application built using Streamlit, a Python library for creating interactive web applications, along with machine learning models trained on the famous Iris dataset. The app allows users to input the features of an Iris flower (sl,sw,pl,pw) and Perform Prediction
Swiggy_Case_Study-SQL
Swiggy, a popular food delivery platform, wants to analyze their restaurant data to gain insights into their operations. You have been tasked with performing various SQL queries on the dataset provided to extract meaningful information.
Air_ticket_prediction
The objective of this project is to implement and explore different Time series Forecasting techniques like ARIMA, SARIMA, PROPHET and XGBOOST on given dataset
Hypothesis_Tesing-Predictive-Analysis
Hypothesis testing involves using statistical methods to verify or challenge assumptions about city payroll data. It follows a process of forming hypotheses, collecting and analyzing data, and drawing conclusions based on significance levels and p-values. Predictive analysis uses historical city payroll data to create models that forecast future
Food_review_classification-NLP
To Classify the Reviews for food using ( Natural Language Processing)
bank_customer_churn_predictor
The main objective of the Bank Customer Churn Prediction project is to analyze the demographics and financial information of bank customers, including factors like age, gender, credit score, country, balance, and more, in order to predict whether a customer will leave the baNK OR NOT
Laptop_price_Predictor
This Machine Learning Project Predict The Price of Laptop using Given Details
Champo-carpet-case-study-1
This is Case Study of Champo carpets located in U.P Bhadhoi . This Involves the solution to the business sales problem using the machine learnring algorithms