Web platform for the design and execution of deep learning models for learning and initiation in the study of deep learning models.

This repo contains 3 EDA projects, 1. USA_House_Price_predictor. 2. Airline_EDA. 3. Iris_data_EDA

Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regressi

PyR@TE 3

This provides a solution for a classification problem by determining whether the customer is suitable to be approved with a credit card or not and provides another solution using the Market Basket Analysis in order to find out combinations of items that occur together frequently in transactions.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

Customer buying behaviour prediction on British Airways Airline for travel.Part of Virtual internship task

Practices and Assignments from the Data Analysis and Regression Class

In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.

🌍 Python package of VTK-based algorithms to analyze geoscientific data and models

The modelsandbox package and its core Model class allow for users to build intricate, multi-level, highly parameterized mathematical models without needing extensive knowledge of Python to design complex classes and analysis structures.

Analyzing orthopedic data to see what hospitals to sell equipment to.

Insurance Forecasting with EDA, feature engineering, data preprocessing, model building and hyperparameter optimization.

This repository addresses the complex task of multi-class prediction for cirrhosis outcomes, a chronic liver condition characterized by tissue damage. Focused on forecasting diverse outcomes such as severity levels and disease stages, the model holds significance in enhancing personalized healthcare for cirrhosis patients.

This repo Implements ResNet using PyTorch

Olist Dataset Analysis with dbt

This project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

Built and tested 6 supervised machine learning algorithm to develop a predictive classification model to classify 13000+ projects as success or failure.