Forecasted one year of RSCCASN Sale future trends using timeseries historical month start based data from their Dataset. Trained the timeSeries dataset on GoogleColab using LSTMs.

• Trained on GoogleColab
• Data Preprocessing and Scaling.
• Data Cleaning
• Exploratory Data Analysis
• Created Batches using TimeSeries Generator.
• Trained the dataset using LSTMs and firstly verified the forecasted results on validation data.
• by checking if achieved Similar trends as expected comparing the graph of predicted and actual trends.
• Removed Overfitting problems using EarlyStop Callbacks.
• Achieving Good accuracy in trends forecasted and Plotted the trends for next Year.
• Tuned the model.
• Saved the model.

https://www.kaggle.com/mrizwanse/retail-sales-clothing-clothing-accessory-stores/version/1

• TensorFlow2
• Keras
• Scikit-Learn
• Seaborn
• Matplotlib
• Pandas
• Numpy