ai_eda_assistant

AI_EDA_Assistant 🤖💻 is an automated web application which automatically collects 🗃️ the data and perform almost all basic tasks✅ for example checking duplicate values , null values , correlation between data and many other things within mili seconds 🕛 so get ready to understand the concepts of python and implement it 💻 and clone it. 📈

analysis--2

This is an analysis of Netflix in which the problem statements have been solved and which given in source code. This source code helps to clear several concepts of python pandas

analysis-report-3

This report presents the findings of a comprehensive analysis conducted on a clinical dataset. The purpose of this analysis was to gain insights and extract meaningful information from the provided clinical data. The report provides a detailed overview of the dataset, explains the analysis methods employed, and presents the key findings

analysis-report1

This is an analysis report of hotel in which the problem statements have been solved link of report and data set is given .The hotel dataset is a comprehensive collection of data related to the operations of a hotel. It includes information on room reservations, guest check-in /outs, room types and pricing. Which helps in taking decision making

big_mart_sales_prediction_model

The retail industry has witnessed tremendous growth over the years, and predicting sales accurately has become a critical aspect for businesses. Our project revolves around predicting the sales of various products in Big Mart outlets using the powerful XGBoost Regressor algorithm. With its ability to handle complex data, XGBoost.

car_price_prediction_ml_-lasso_regression

This project focuses on developing a robust and accurate model that can predict the price of used cars based on various features and attributes. The primary objective of this project is to leverage Lasso Regression, a powerful regularization technique, to build a predictive model that effectively handles high-dimensions

carprice

A UI create for car price prediction model to predict the model and this UI is not working with backend ML code

codsoft-data-science

A tapestry of innovation where each project paints a story of creativity meeting code. Unveil solutions to real-world challenges crafted with relentless curiosity and dedication.

credit_card_fraudulent_detection

Credit Card Fraudulent detection using logistic regression algorithm and this dataset have complex problem of unbalance data where the data is unbalanced and the data is available in the form of integer64 hence the details of this dataset is confidential so the provided data in the dataset is (Principal Component Analysis Method).

customer_segmentation_using_k-means-clustering

Customer segmentation is a powerful technique used by businesses to understand their customers better and tailor their marketing strategies accordingly. In this project, we aim to apply the K-means clustering algorithm to segment customers based on their similarities and differences in purchasing behavior, preferences, and characteristics.

data-analysis-projects

This repository consists of data analysis using python and other libraries where use several techniques and in different domains

diabetes-detection-model--svm-

Diabetes detection model is a machine learning model which detects that weather a patient is diabetic or not with help of the give data and it is made (SVM) algorithm.

diabetes_prediction_web_app

An web Application which is deployed and the model of this web application is developed using a dataset and this web application can predict that a person is diabetic or not with help of given features

dog_vs_cat_deep_learning

This GitHub repository📁 houses a powerful deep learning 💻model designed for distinguishing between🐕 dogs and 🐈cats in images. Leveraging state-of-the-art neural network 🗃️ architectures, the model has been trained on a diverse 🗄️dataset to achieve high🎯 accuracy in classifying these two popular pet categories.

fake_news_prediction_ml

This project helps to make prediction of fake news by developing a machine learning model using the logistic regression algorithm. The project provides a reliable solution to identify and predict the authenticity of news articles, helping users distinguish between real and fake news sources.

gold_price-_prediction_random_forest_regression

This project focus on predicting the gold value by using the several aspect given in the dataset it uses the Random Forest Regression to predict the values from dataset

heart_diseases_prediction-logisticregression

This GitHub repository hosts a comprehensive implementation of a Heart Disease Prediction Model using the powerful Logistic Regression algorithm. With the goal of enabling accurate diagnoses, this project provides a reliable tool for identifying individuals at risk of heart disease based on a range of relevant factors.

loan-acceptance_model_svm

Loan Acceptance Prediction is prediction model using machine learning ( Support Vector Machine ) this model helps as an person is eligible for vote or not after accepting the several aspects of a dataset

machine_learning_codsoft

In this individual repository I present my Machine Learning Model that I trained during my internship period at codsoft . In this repository I displayed all my projects are task/assigments of Internship

mdiseases

This repository is build for deployement of multiple desease prediction system . This Web Application is made with multiple prediction systems.

medical_insurance_prediciton

In the fast-paced world of healthcare, predicting medical prices accurately is of paramount importance for both medical service providers and patients. A well-developed medical price prediction model can aid in estimating the costs of various medical procedures and services, allowing patients to plan their finances accordingly.

movie-recommendation-system-

Explore a machine learning-powered Movies Recommendation System repository that leverages advanced algorithms to deliver personalized movie suggestions. Dive into the world of collaborative filtering and content-based recommendation techniques, enhancing user movie-watching experiences. Discover the future of movie recommendations.

multipledisease

parkinson-s_prediction_model

This model is trained using SVM algorithm and achieve accuracy of 90% approximatly . This model helps to know wheather a person in deseased with parkinson's or not just by gathering some features

profiling

This web application is build with python streamlit and this repository helps perfrom EDA(Exploratory Data Analysis ) using pandas-profiling library in python . This web application also helps to analys the target variable using it modelling functon

rock-and-mine-ml-logistic-model-

Rock and Mine ML(logistic regression ) It is a initial level machine learning project for once who want to improve the skills in machine learning the source code and data is being given in repository

sjapanjots

This repository is just build to make my main screen more interactive

wine_quality_prediction_randomforest

Wine Quality Checker Prediction Model is Random Forest machine learning model which helps to check quality of wine is good or bad on the basis of aspects given in the dataset (which is given )