Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
"close", "volume"]] df.rename(columns={0: "Date", 1: "Open", 2: "High",3: "Low", 4: "Adj Close", 5: "Volume"}, inplace=True) # Convert timestamps to datetime objects df["Date"] = pd.to_datetime(df['Date'] / 1000, unit='s') df.set_index("Date", inplace=True) # Format the date index df.index =