karma237 / gold_price_prediction

Predicting Gold Price using Preprocessing, data modeling and data Visualization

Gold_Price_Prediction

This project is done for CodeClause Data science intern on linkedin

Predicting Gold Price using Preprocessing, data modeling and data Visualization

PreProcessing :

    *Pandas* to handle missing values / duplicated values
    *StandardScaler from sklearn* for data Standardization 

Modeling :

    Sklearn for Random Forest Regressor and  Matrices, Numpy to measure the model accuracy

Visualization:

    Matplotlib.pyplot, Sns and plotting pandas converter
    # Plot target var Annual Change *using lineplot*
    # Linear Relation aka Correlation *using heatmap*
    # Check data distribution of our target variable against the density distribution *using displot*
    # Plot Gold against each feature density using *using pairplot*
    # SLV against gld density *using KDEPLOT*
    # Visualising the Accuracy of Predicted result *using plot*

IDE: Google Colab

Language: Python

Dataset: Kaggle