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Aug 1, 2018 - Python
sk-learn
Here are 25 public repositories matching this topic...
WIP - playing around with the Keggle Titanic challange to get a better grasp on machine learning projects from start (raw data) to finish (predictions and evaluation)
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Aug 13, 2018 - Jupyter Notebook
Spam Classifier using Naive Bayesian Method
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Dec 10, 2018 - Jupyter Notebook
Regression Analysis of oceanographic data to find the relationship between the temperature and the salinity of water.
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Jun 6, 2019 - Jupyter Notebook
Some dimensionality reduction and clustering examples using sklearn library
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Oct 30, 2019 - Jupyter Notebook
This is a portotype of GitHub recommender system.
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Jan 14, 2020 - Python
This is a regression problem to predict california housing prices.
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Jun 20, 2020 - Jupyter Notebook
Clustering Cryptocurrencies
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Jan 5, 2021 - Jupyter Notebook
Projet réalisé pour INSPIRE d'Article 1, mise en place d'algorithme de modération.
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Mar 23, 2021 - Jupyter Notebook
Implementation of ML algorithms for FlipKart Product Category Classification based on the product's description and other features.
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May 12, 2021 - Jupyter Notebook
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Aug 15, 2022 - Jupyter Notebook
Aim of the problem is to find the health insurance cost incured by Individuals based on thier age, gender, BMI, number of children, smoking habit and geo-location.
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Sep 5, 2022 - Jupyter Notebook
Kaggle fun house
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Jan 27, 2023 - Jupyter Notebook
Real time face detection and recognition integrating with CCTV
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Apr 23, 2023 - Python
A Random Forest Approach to Estimate Rainfall
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May 30, 2023 - Python
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Aug 19, 2023 - Jupyter Notebook
An interactive stock dashboard, enabling users to input stock codes, select dates, and visualize trends, indicators, and forecasts. Utilized yfinance for historical data and integrated SVR model for predictive analysis, showcasing interactive charts and forecasts.
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Aug 27, 2023 - Python
Analyzed a 23-feature dataset, targeting 'RainTomorrow' for weather insights. Conducted thorough data gathering, preprocessing, and feature selection. Evaluated diverse models (Logistic Regression, Random Forest, Decision Trees, K-means, K-nearest neighbors, Hierarchical clustering) and employed technical metrics for in-depth performance analysis.
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Oct 10, 2023 - Jupyter Notebook
DE and DA samples
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Feb 23, 2024 - Jupyter Notebook
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