Predicting Gold Price using Preprocessing, data modeling and data Visualization
*Pandas* to handle missing values / duplicated values
*StandardScaler from sklearn* for data Standardization
Sklearn for Random Forest Regressor and Matrices, Numpy to measure the model accuracy
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*