Projects in Awesome Lists tagged with skit-learn

https://github.com/abubakkar32/machine-learning-practice

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

automation big-data chatbot data-analysis data-visualization datastractures machine-learning mathplotlib nlp-machine-learning numpy pandas plotly pypdf2-lib pytest python3 seaborn selenium-webdriver skit-learn webscraping

Last synced: 28 Oct 2024

https://github.com/ghazaleze/data-mining-fundamentals

my codes of data mining fundamentals course

association-rules classifier clustering data-mining diagram evaluation jupyter-notebook linear-regression mlp-classifier modeling neural-network numpy pandas pca python random-forest skit-learn tree

Last synced: 09 Nov 2024

https://github.com/ksharma67/ibm-stock-predication-wiith-eda

In this i tried to design a model that can predict the price of stock using different methods and algorithms.

bullish-signal death-cross decision-tree eda golden-cross gradient-boosting knn machine-learning-algorithms matplotlib numpy pandas prediction python random-forest scalar seaborn skit-learn svm xgboost

Last synced: 06 Nov 2024

https://github.com/ksharma67/intel-stock-predication-wiith-eda

We are trying to design a model that can predict the price of stock using different methods and algorithms.

eda linear-regression machine-learning-algorithms matplotlib numpy pandas prediction python scaler seaborn skit-learn

Last synced: 06 Nov 2024

https://github.com/ksharma67/heart-failure-prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

auc-roc-curve auc-roc-score decision-trees eda eli5 gridsearchcv lightgbm lime logistic-regression numpy pandas python random-forest seaborn shap skit-learn sklearn svm xgboost

Last synced: 06 Nov 2024

https://github.com/psavarmattas/cardiovascular-heart-disease-prediction-model

This dataset contains detailed information on the risk factors for cardiovascular disease.

ai jupyter-notebook ml python research-paper skit-learn

Last synced: 07 Nov 2024

https://github.com/yashika-malhotra/micromobility-service-provider---hypothesis-testing

Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts

colab-notebook data-visualization eda exploratory-data-analysis hypothesis-testing jupyter-notebook matplotlib matplotlib-pyplot numpy pandas python scipy-library scipy-stats seaborn skit-learn

Last synced: 14 Nov 2024

https://github.com/saro0307/unemployment-analysis

This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making.

data-science datavisualization machine-learning matplotlib numpy pandas python seaborn skit-learn

Last synced: 13 Nov 2024

https://github.com/shaikharshad11/stores-sales-prediction

Internship Project

azure css flask github-actions html mongodb python railway skit-learn

Last synced: 15 Nov 2024

https://github.com/akibahmed229/development-of-intelligent

development of intelligent

data-science jupyter-notebook machine-learning metaploit natural-language-processing numpy pandas python skit-learn terraform

Last synced: 31 Oct 2024

https://github.com/jimmymugendi/british-airways-virtual-internship-task2

This GitHub repository for the British Airways project contains code and resources related to analyzing customer booking behavior with British Airways. It includes data preprocessing, exploratory data analysis, model training using the XGBoost classifier, and evaluation of the model's performance.

machine-learning pandas performance-metrics random-forest-classifier skit-learn xgboost-classifier

Last synced: 16 Nov 2024