Data Science
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Updated
Jul 10, 2023 - Jupyter Notebook
Data Science
Embark on a transformative "100 Days of Machine Learning" journey. This curated repository guides enthusiasts through a hands-on approach, covering fundamental ML concepts, algorithms, and applications. Each day, engage in theoretical insights, practical coding exercises, and real-world projects. Balance theory with hands-on experience.
An analysis of house prices in Beijing
Data Set: House Prices: Advanced Regression Techniques Feature Engineering with 80+ Features
Exploratory Data Analysis and Data Preprocessing on Marketing dataset. Domain - Retail Marketing
Welcome to the FIFA Dataset Data Cleaning and Transformation project! This initiative focuses on refining and enhancing the FIFA dataset to ensure it is well-prepared for in-depth analysis. The project involves a comprehensive data cleaning process and transformation of key features to improve data quality and usability.
The project provides Four Tasks which is given by Cognifyz Technology.
This is the curated pile of notebooks/small projects which contains linear and non-linear regression models.
End-to-end movie recommendation system using ML, data analysis, NLTK, CountVectorizer, cosine similarity, and TMDB API. Deployed with Streamlit.
Techniques to Explore the Data
This project provides the data based on classification to check if the patient is covid +ve or -ve.
This repository contains pre-requisite notebooks of Data Cleaning work for my internship as a Machine Learning Application Developer at Technocolabs.
Exploratory Data Analysis - Using Python to find correlation between features
In this exercise, I'll apply Data cleaning using Handling missing values of San Francisco building permit.
This repository contains data analysis programs in the Python programming language.
This repository contains a project focused on data cleaning using SQL, applied to a healthcare dataset.
In this notebook, i show a examples to implement imputation methods for handling missing values.
Add a description, image, and links to the handling-missing-value topic page so that developers can more easily learn about it.
To associate your repository with the handling-missing-value topic, visit your repo's landing page and select "manage topics."