A library to fit the data with multiple fitters.
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Updated
Nov 11, 2025 - Python
A library to fit the data with multiple fitters.
The lingress project is to develop the pipeline to analyse the Nuclear magnetic resonance (NMR) dataset using a univariate linear regression model. This package contains the analysis with linear regression (OLS) and visualises the interpretation of the results with a p-value of all NMR peaks.
Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
My solutions for the practical work of the Data Analysis (Analyse de données - AD) module in my 3rd year of state engineering studies at ENSTTIC
Visualize the relation between a dependent variable and any feature in a meaningful way
Analyze house price data using univariate, bivariate, and multivariate analysis.
This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.
API backend to deploy a machine learning model to the web
Breast Cancer prediction app using KNN and SVC algorithm.
analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.
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