Rust for data analysis encyclopedia (WIP).
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Updated
Apr 1, 2024 - Jupyter Notebook
Rust for data analysis encyclopedia (WIP).
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
A set of jupyter notebooks
In this Data science project I tried to create Jupyter notebooks for EDA and feature engineering of Advanced House Price Prediction Dataset from Kaggle Competition.
Implementation of several ML models on real-world datasets with detailed explanation in notebooks.
This repository, named "ml_practice," serves as a learning ground for various machine learning concepts and techniques. The repository contains a collection of Python scripts and Jupyter notebooks, each dedicated to exploring and implementing different machine learning algorithms, models, and methodologies.
A collection of Data Science Jupyter notebook (reference material)
The notebook contains Python code for various machine learning tasks and models. Here is an overview of its content:
Jupyter notebooks for LeetCode problems, Python library notes (NumPy, Pandas, Matplotlib) and DSA concepts.
Analysis notebooks for the geolink well log dataset
Complete Notebooks on how AnimeWorld dataset was created, EDA, and Recommendation Engine.
A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise
In this project, we will see in a hands-on training jupyter notebook how to effectively diagnose and deal with missing data in Python.
Python notebooks with detailed data analysis
This is a Jupyter Notebook( iPython Notebook) with Data Analysis (EDA) on FIFA WC Qatar 2022 match data.
EDA for Covid-19 India
This repository is a collection of Jupyter Notebooks 📔containing Exploratory Data Analysis 📊 and Models on different Datasets which are taken from kaggle.
This is a repository with code and notebooks for Exploratory Data Analysis (EDA), data visualization and dimensionality reduction techniques
In this repository, I address missing values in the Prosper dataset using advanced data cleaning techniques. The refined data is then seamlessly uploaded to a pre-configured Azure Postgres Database via a Jupyter Notebook, showcasing efficient data management and cloud database integration.
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