Complite Machine Learning With Python!
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Updated
May 23, 2024 - Jupyter Notebook
Complite Machine Learning With Python!
All the Data Science projects I've done, during the course, or after.
Machine Learning programs using some aspects of Data Science.
This tutorial shows how to classify images of flowers using a tf.keras.Sequential model and load data using tf.keras.utils.image_dataset_from_directory. It demonstrates the following concepts: Efficiently loading a dataset off disk. Identifying overfitting and applying techniques to mitigate it, including data augmentation and dropout.
Predict Big Mart sales using XGBoost Regressor. Learn data preprocessing, EDA, and model evaluation in Python.
Develop a comprehensive credit card weekly dashboard that provides real-time insights into key performance metrics and trends, enabling stakeholders to monitor and analyze credit card operations effectively.
Data preprocessing & Data cleaning project
This project aims to identify the status of a shipment using the gibberish statements. MODELS USED - TensorFlow, DT, RF,KNN, LR & SVC. API - FastAPI
Mini Project about synthetic data generation by implementing CTGAN algorithm on tabular data
Roadmap for Data Engineering
Early Detection of Lung Cancer Using DataScience Techniques. Type of Application: Web Application
Web Based application with various operations for data science
This project provides the data of images of shoes with multiple categories and data is collected from a popular Ecommerce site.
This in-depth market basket analysis goes through a complete project cycle towards extracting valuable insights that the business can implement allowing them to scale. From preprocessing the data, to exploratory data analysis, association rule mining, interpretation and insights, and recommendations. This project was made to tackle these problems.
In This project aims to analyze Airbnb data, perform data cleaning and preparation, develop interactive geospatial visualizations and suing for MySql , availability patterns, and location-based trends with help of Streamlit app.
Cereja is a bundle of useful functions we don't want to rewrite and .. just pure fun!
This Project involved an Exploratory Data Analysis (EDA) and pre-processing on a 10K Play Store app dataset for analyzing the Android market.
Teaching computers to understand sign language! This project uses image processing to recognize hand signs, making technology more inclusive and accessible.
This repository contains mini projects inData science in python with notebook files
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