Par-PR

Par-PR's Stars

• zeelrupapara/Machine-Learning-Models

  0) Data Preprocessing 1) Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial 2) Regression, SVR, Decision Tree Regression, Random Forest Regression 3) Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification 4) Clustering 5) Association Rule Learning 6) Reinforcement Learning 7) Natural Language Processing 8) Deep Learning 9) Dimensionality Reduction 10) Model Selection & BoostingSearch, XGBoost

  Language:Jupyter Notebook21

• zeelrupapara/Warehouse-Mangement-System

  The company procures goods from a list of suppliers and stores them in warehouses. Once an order is placed for these goods, they are retrieved from the warehouses and shipped to the customers.

  Language:EJS2

• zeelrupapara/Todo

  Todo app

  Language:JavaScript2

• zeelrupapara/Stock_Prices_Prediction

  Use for predicts stock prices about the next week of stock prices. This Project Working With Time series Machine Learning model. For especially time series I used an AutoTL python library.

  Language:Jupyter Notebook2