Time series analysis is a statistical method used to analyze and interpret data collected over time. It involves studying the patterns, trends, and behaviors within a dataset to make predictions or understand the underlying mechanisms.

Algorithms used : Artificial Neural Network (Ann) Exponential smoothing Recurrent Neural Network (Rnn) Seasonal Decomposition Fp Growth Apriori Arima Model (Autoregressive integrated moving average) Logistic Regression Simple Moving Average

Libraries Used: Numpy Pandas Matplotlib Tensorflow Sklearn Math Statsmodels Seaborn Networkx