https://github.com/coding-ai/machine_learning_cpp

Machine Learning C++

algorithms cpp linear-models linear-regression linearregression linearregression-gradientdescent logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms machinelearning machinelearning-cpp tutorials

Last synced: 28 Apr 2025

https://github.com/sudipbishwakarma/msc-dissertation-2021

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

arima exploratory-data-analysis garch googlecolab hyperparameter-optimization jupyter-notebook kaggle linearregression lstm nepse optuna scikit-learn stock-price-prediction tensorflow time-series-analysis

Last synced: 14 Oct 2025

https://github.com/syamkakarla98/linear-regression

Implementation of Linear regression on Boston House Pricing and Diabetes data sets using python.

linearregression pyhton3 sklearn-library

Last synced: 03 May 2025

https://github.com/sevdanurgenc/machine-learning-lecture-notes

Machine Learning Lecture Notes

decisiontrees introductiontoml linearalgebra linearregression logisticregression machinelearning naivebayes probabitlity regularization unsupervisedlearning

Last synced: 23 Mar 2025

https://github.com/islamshahil/machinelearning

A Fun Project - Using LinearRegression, Predicting the Value.

hacktoberfest linearregression machine-learning numpy pandas python sklearn

Last synced: 11 Apr 2026

https://github.com/sureshbeekhani/machine-learning-algorithms

A collection of machine learning algorithms implemented for learning and practice, covering regression and classification models using Python.

dataanalysis datascience featurescaling linearregression machinelearning matplotlib numpy pandas python seaborn

Last synced: 28 Apr 2026

https://github.com/athari22/house_sales_in_king_count_usa

The idea of the project is to do a Data analysis in a Real Estate Investment Trust. The Trust would like to start investing in Residential real estate.

analysis data data-science data-visualization ibm ibm-watson linearregression machine-learning matplotlib numpy pandas sklearn-library

Last synced: 01 May 2026

https://github.com/huseyincenik/machine_learning

classification cross-validation decision-tree decision-trees gridsearchcv knn knn-classification linear-regression linearregression logistic-regression machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python random-forest randomforest regression regression-models unsupervised-machine-learning

Last synced: 16 Oct 2025

https://github.com/harmanveer-2546/mystery-planet

Exoplanet Hunting in Deep Space.

batchnormalization cnn deep-learning deep-space densenet exoplanets hunting keras linearregression mystery pooling-layers python roc-auc-score roc-curve scipy space standardscaler tensorflow

Last synced: 04 Feb 2026

https://github.com/prajakta1321/streetml-a-cityscape-traffic-volume-prognostication

StreetML leverages ML learning techniques to revolutionize urban traffic prediction through precise volume prognostication, aiming to enhance cityscape mobility through data-driven insights.

catboostregressor data datavisualisation exploratory-data-analysis lightgbm-regressor linearregression machine-learning machine-learning-algorithms predictive-analytics random-forest-regression xgboost-regression

Last synced: 08 Apr 2025

https://github.com/harmanveer-2546/predicting-schizophrenia-disorder

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

boxplot decisiontreeregressor disorder linearregression matplotlib mean-squared-error numpy pairplot pandas prediction randomforestregressor schizophrenia seaborn train-test-split visualization

Last synced: 13 Apr 2026

https://github.com/harmanveer-2546/finding-you-next-perfect-house

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

adaboostregressor decisiontreeregressor exploratory-data-analysis house-price-prediction inline linearregression matplotlib numpy onehotencoder pandas plotly python randomforestregressor renting seaborn standardscaler xgbregressor

Last synced: 13 Apr 2026

https://github.com/lucasfeliciano02/predict-pizza-price-ml

Modelo de regressão linear aplicado com machine learning para prever o preço da pizza com base no diâmetro inserido pelo usuário

dataframe linearregression pandas python sklearn streamlit

Last synced: 05 Feb 2026

https://github.com/harmanveer-2546/mental-health-eda-prediction-

Mental health includes our emotional, psychological, and social well-being. It affects how we think, feel, and act. It also helps determine how we handle stress, relate to others, and make healthy choices. Mental health is important at every stage of life, from childhood and adolescence through adulthood.

correlation cross-validation exploratory-data-analysis kfold linearregression matplotlib mental-health mental-health-awareness mental-illness normalization pandas plotly preprocessing python seaborn subplots test-train-split visualization

Last synced: 16 Apr 2026

https://github.com/suguru-n/temp_easyai

学部生向け機械学習体験プログラム

google-colab jupyter-notebook linearregression python scikit-learn

Last synced: 04 May 2026

https://github.com/shriansh2002/stock-prediction

This project predicts Apple stock prices using linear regression. It's based on historical stock price data and uses Python and popular data science libraries like Pandas, NumPy, Matplotlib, and scikit-learn.

apple datascience finance linearregression machinelearning matplotlib ml numpy pandas prediction python scikitlearn stock-prediction stockmarket

Last synced: 10 May 2026

https://github.com/huseyincenik/auto_analytics_advanced_estimation_and_deployment

aws aws-cloudformation aws-ec2 decisiontreeregressor deployment lassoregression linearregression modeldeployment python3 randomforest regression regression-models ridgeregression streamlit streamlit-webapp xgboost

Last synced: 11 Apr 2026

https://github.com/harmanveer-2546/ad-click-prediction-analysis-and-insights

To predict whether a user will click on ad or not.

ads analysis classification-report click insights linearregression matplotlib numpy onehotencoder pandas pipeline prediction preprocessing randomforestclassifier seaborn sklearn sklearn-compose sklearn-library sklearn-metrics standardscaler

Last synced: 27 Jan 2026

https://github.com/himanshu-srihsk/gradient_descent_optimization-on-boston-dataset

performed gradient descent on Linear Regression and optimized the result of boston data using gradient descent data

boston-housing-dataset gradient-descent jupyter-notebook linearregression linearregression-gradientdescent

Last synced: 03 Aug 2025

https://github.com/chawthinn/car-price-prediction-regression-ml

This project predicts used car prices using regression models including Linear, Ridge, Random Forest, XGBoost, and LightGBM. It covers preprocessing, EDA, model evaluation, hyperparameter tuning, and model persistence using Scikit-learn and related libraries.

car-price-prediction lgbmregressor linearregression numpy pandas python scikit-learn xgbregressor

Last synced: 08 Apr 2026

https://github.com/5hraddha/zyfra-gold-recovery-prediction

Zyfra is a pioneering developer of efficiency solutions for heavy industries & is aiming to take help of machine learning to optimize the efficiency in Gold Ore processing

decisiontreeregressor dummyregressor linearregression numpy pandas randomforestregressor scipy seaborn smape supervised-learning

Last synced: 08 Apr 2026

https://github.com/rohanbanerjee1234567-cell/prediction-of-expected-salary-using-machine-learning

Here is my first Project Repository where I have made a Machine Learning Project using Python. The Problem statement was to train a model based on the given Dataset and from there we need to Predict the Expected Salary of an Employee who will have similar profiles.

exploratory-data-analysis linearregression matplotlib-pyplot numpy pandas randomforest randomforestregressor scikit-learn scikitlearn-machine-learning searborn visualization

Last synced: 27 Apr 2026

https://github.com/nataliabeltranarg/timeseriesforecasting-glovoorders

Implemented time series forecasting to predict future orders for Glovo, utilizing models such as ARIMA/SARIMA, LASSO, XGBoost, and Linear Regression.

arima-forecasting cycles forecasting-models forecasting-time-series lasso-regression linearregression outlier-detection sarima-model seasonality-analysis time-series-analysis trends-analysis xboost

Last synced: 16 Mar 2025