From 8497091433add1c6d9d06f7f3a1cb676cab1fa23 Mon Sep 17 00:00:00 2001 From: Aditi Date: Sat, 10 Aug 2024 00:08:04 +0530 Subject: [PATCH] Added Dow_Jones_Industrial_Average_Prediction --- .../AAPL.csv | 252 ++++++++++++ .../DOGE-USD.csv | 367 ++++++++++++++++++ .../README.md | 1 + .../main.py | 18 + .../main2.py | 16 + 5 files changed, 654 insertions(+) create mode 100644 Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/AAPL.csv create mode 100644 Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/DOGE-USD.csv create mode 100644 Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/README.md create mode 100644 Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main.py create mode 100644 Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main2.py diff --git 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b/Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main.py @@ -0,0 +1,18 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import seaborn as sns +from seaborn import regression +sns.set() +plt.style.use('seaborn-whitegrid') + +data = pd.read_csv("DOGE-USD.csv") +print(data.head()) + +data.dropna() +plt.figure(figsize=(10, 4)) +plt.title("DogeCoin Price INR") +plt.xlabel("Date") +plt.ylabel("Close") +plt.plot(data["Close"]) +plt.show() \ No newline at end of file diff --git a/Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main2.py b/Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main2.py new file mode 100644 index 00000000..2df85b3e --- /dev/null +++ b/Dogecoin-Price-Prediction/Dogecoin-Price-Prediction-with-Machine-Learning-master/main2.py @@ -0,0 +1,16 @@ +import numpy as np +import pandas as pd +import matplotlib.pyplot as plt +import seaborn as sns +from seaborn import regression +sns.set() +plt.style.use('seaborn-whitegrid') +data = pd.read_csv("AAPL.csv") + +data = data[["Date", "Close"]] +data["Date"] = pd.to_datetime(data.Date) +data["Close"].plot(figsize=(12, 8), title="Apple Stock Prices", fontsize=20, label="Close Price") +plt.legend() +plt.grid() +plt.show() +