Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.

GitHub profile.

Investigating how carbon emissions, particulate matter, and climate variables/indices impact mortality from chronic respiratory disease. Working with pollutant, climate, mortality, population, and geographic datasets. Modeling with Random Forest regression.

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

scipy.kr 홈페이지

After watching a couple of trending YouTube videos, we asked ourselves, what makes the videos popular !!! and what if we could predict the popularity !!! After all, we want to help the struggling YouTuber/influencer community by providing them with valuable insights on trending. At the same time, predicting popularity would help the advertising …

3D CNN to Predict the presence of pneumonia from CT scans

Webpage of scipy.lat

Estimate median

Python external documentation redirect for JetBrains IDEs

Predicting house prices in Boston with python/scikit-learn

Options volatility research terminal with 3D spatial analytics, opening scanner, and quant models. Python, Streamlit, FastAPI.

A portfolio of my data science projects, including exploratory data analysis (EDA), machine learning, deep learning, and data visualization using Python, Pandas, NumPy, Plotly, Seaborn, and more.

Worked on Dr. M Roncaglia RITA electroencephalogram (EEG) brain activity dataset. Preprocessed, cleaned and transformed the brain activity data to be used for monitoring distinct brain frequencies.

This is the GeoChatBot, created for the hackathon organized by Mineral Exploration and Consultancy Limited (MECL).

CKX & MiMi FYP - Software Documentation

B 站数模加油站配套 Python 数据处理全套学习笔记，包含 Numpy、Pandas、Scipy 插值拟合、Matplotlib 可视化完整实战代码，附带导出 HTML/PDF 文档，适合数学建模竞赛入门学习。 English: Complete Python data processing notes for mathematical modeling contest, including Numpy, Pandas, Scipy interpolation & curve fitting, Matplotlib visualization. All runnable codes with exported HTML & PDF files for beginners.

⚛ Config files for my GitHub profile.

It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for …

Python-Based Statistical Graphical User Interface for Python