02

Co-Authored-By: Ranuga <[email protected]>

Author: Programmer-RD-AI

.ipynb_checkpoints/02-checkpoint.ipynb

@@ -1 +1,56 @@
+import sklearn
+from sklearn.datasets import make_circles
+# Make 100 Samples
+n_samples = 10000
+X,y = make_circles(n_samples,noise=0.069,random_state=42)
+
+
+import matplotlib.pyplot as plt
+import numpy as np
+import torch
+
+
+X[:5],y[:5]
+
+
+# Make a DataFrame of circle data
+import pandas as pd
+
+
+circles = pd.DataFrame({"X1":X[:,0],"X2":X[:,1],"y":y})
+
+
+# Visualizing
+plt.scatter(x=X[:,0],y=X[:,1],c=y,cmap=plt.cm.RdYlBu)
+
+
+X_sample = X[0]
+y_sample = y[0]
+X_sample,y_sample,X_sample.shape,y_sample.shape
+
+
+# Turn data into tensors
+import torch
+torch.__version__
+
+
+X.dtype
+
+
+X = torch.from_numpy(X).type(torch.float32)
+y = torch.from_numpy(y).type(torch.float32)
+
+
+X[:2],y[:2]
+
+
+from sklearn.model_selection import train_test_split
+
+
+X_train,X_test,y_train,y_test = train_test_split(X,y,test_size=0.25)
+
+
+
+
+