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tohid-yousefi / Machine_Learning_Algorithms_for_Time_Series_Analysis_Total_Trading_Volume_Forecasting

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In this section, we will use machine learning algorithms to perform time series analysis.

time-series machine-learning-algorithms forecasting lightgbm time-series-analysis time-series-forecast time-series-prediction time-series-forecasting time-series-data trading-volume forecasting-time-series lightgbm-regressor total-trading-volume-forecasting
  • Updated Apr 28, 2023
  • Jupyter Notebook

Aishwaryakkumar / Automobile

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Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

python linear-regression exploratory-data-analysis machine-learning-algorithms ridge-regression grid-search lasso-regression automobile random-forest-regression adaboost-algorithm lightgbm-regressor
  • Updated Jun 6, 2020
  • Jupyter Notebook

Rjt5412 / Elo-Merchant-Category-Recommendation

Star 1

A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.

python exploratory-data-analysis regression elo feature-selection kaggle-competition discounts machinelearning feature-engineering regression-models promotions random-forest-regressor customer-loyalty lightgbm-regressor lgbm-goss predicting-loyalty-scores
  • Updated Oct 15, 2020
  • Jupyter Notebook

SerhatDerya / House-Prices---Advanced-Regression-Techniques

Star 1

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

python data-science machine-learning ai random-forest scikit-learn jupyter-notebook regression prediction artificial-intelligence xgboost lightgbm machinelearning ju random-forest-regression xgboost-regression lightgbm-regressor
  • Updated Feb 5, 2022
  • Jupyter Notebook

farazkhancodes / Predictive-Modelling-of-Multimodal-Single-Cell-Genomic-Data-with-Machine-Learning-Algorithms

Star 1

This code demonstrates the use of machine learning to model the multimodal nature of a single cell. Using machine learning to predict RNA from DNA, that is, using chromatin accessibility data to predict the RNA gene expression and to predict surface protein from RNA, that is, using RNA sequence data to predict surface protein levels in a cell

numpy scikit-learn pandas seaborn xgboost scipy gpu-acceleration matplotlib sparse-matrix keras-tensorflow mlp-regressor catboost ensemble-machine-learning lightgbm-regressor
  • Updated Jun 1, 2024
  • Jupyter Notebook

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